docs: remove em dashes, update terminology, replace Ralph Wiggum
- Replace all em dashes with hyphens - "Claude Code skill" -> "skill" in intro - Ralph Wiggum -> Seedance 2.0 / Nano Banana Pro - tweet/Tweet -> post/Post throughout - "signal of a tweet" -> "signal of a single post" Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Matt Van Horn
@@ -1,11 +1,11 @@
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# /last30days v2.1
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**The AI world reinvents itself every month. This Claude Code skill keeps you current.** /last30days researches your topic across Reddit, X, YouTube, and the web from the last 30 days, finds what the community is actually upvoting, sharing, and saying on camera, and writes you a prompt that works today, not six months ago. Whether it's Ralph Wiggum loops, Suno music prompts, or the latest Midjourney techniques, you'll prompt like someone who's been paying attention.
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**The AI world reinvents itself every month. This skill keeps you current.** /last30days researches your topic across Reddit, X, YouTube, and the web from the last 30 days, finds what the community is actually upvoting, sharing, and saying on camera, and writes you a prompt that works today, not six months ago. Whether it's Seedance 2.0 access, Suno music prompts, or the latest Nano Banana Pro techniques, you'll prompt like someone who's been paying attention.
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**New in V2.1 — three headline features:**
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**New in V2.1 - three headline features:**
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1. **Open-class skill with watchlists.** Add any topic to a watchlist — your competitors, your partners, your board members, an emerging technology — and /last30days automatically re-researches it on a schedule. Set it once, get a briefing every 30 days (or every week). This is the skill that runs while you sleep.
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2. **YouTube transcripts as a 4th source.** When yt-dlp is installed, /last30days automatically searches YouTube, grabs view counts, and extracts auto-generated transcripts from the top videos. A 20-minute review contains 10x the signal of a tweet — now the skill reads it. Inspired by [@steipete](https://x.com/steipete)'s yt-dlp + [summarize](https://github.com/steipete/summarize) toolchain.
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1. **Open-class skill with watchlists.** Add any topic to a watchlist - your competitors, your partners, your board members, an emerging technology - and /last30days automatically re-researches it on a schedule. Set it once, get a briefing every 30 days (or every week). This is the skill that runs while you sleep.
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2. **YouTube transcripts as a 4th source.** When yt-dlp is installed, /last30days automatically searches YouTube, grabs view counts, and extracts auto-generated transcripts from the top videos. A 20-minute review contains 10x the signal of a single post - now the skill reads it. Inspired by [@steipete](https://x.com/steipete)'s yt-dlp + [summarize](https://github.com/steipete/summarize) toolchain.
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3. **Works in OpenAI Codex CLI.** Same skill, same engine. Install to `~/.agents/skills/last30days` and invoke with `$last30days`. Claude Code and Codex users get the same research.
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**New in V2:** Dramatically better search results. Smarter query construction finds posts that V1 missed entirely, and a new two-phase search automatically discovers key @handles and subreddits from initial results, then drills deeper. Free X search (no xAI key needed), `--days=N` for flexible lookback, and automatic model fallback. [Full changelog below.](#whats-new-in-v2)
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@@ -26,14 +26,14 @@ git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last
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mkdir -p ~/.config/last30days
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cat > ~/.config/last30days/.env << 'EOF'
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OPENAI_API_KEY=sk-...
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XAI_API_KEY=xai-... # optional — cookie auth is default for X search
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XAI_API_KEY=xai-... # optional - cookie auth is default for X search
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EOF
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chmod 600 ~/.config/last30days/.env
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```
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### X Search Authentication
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X search reads your existing browser cookies — no API keys or login commands needed.
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X search reads your existing browser cookies - no API keys or login commands needed.
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**Safari (recommended on Mac):** Just be logged into x.com. No setup needed.
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@@ -64,7 +64,7 @@ git clone https://github.com/mvanhorn/last30days-skill.git ~/.agents/skills/last
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Same SKILL.md, same Python engine, same scripts. The `agents/openai.yaml` provides Codex-specific discovery metadata. Invoke with `$last30days` or through the `/skills` menu.
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### Open Variant (Watchlist + Briefings) — Recommended
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### Open Variant (Watchlist + Briefings) - Recommended
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The killer use case: **set up research that runs itself.** Add your competitors, partners, board members, or any topic to a watchlist. /last30days re-researches them on a daily or weekly schedule and accumulates findings in a local database. Ask for a briefing anytime.
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@@ -86,16 +86,16 @@ cp variants/open/SKILL.md ~/.claude/skills/last30days/SKILL.md
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The open variant adds four modes on top of one-shot research:
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- **Watchlist** — Track topics over time with `watch add "topic"`, run on a schedule
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- **Briefings** — Daily/weekly digests synthesized from accumulated findings
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- **History** — Query and search your research database with full-text search
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- **Native web search** — Built-in web search backends (Parallel AI, Brave, OpenRouter) run alongside Reddit/X/YouTube
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- **Watchlist** - Track topics over time with `watch add "topic"`, run on a schedule
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- **Briefings** - Daily/weekly digests synthesized from accumulated findings
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- **History** - Query and search your research database with full-text search
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- **Native web search** - Built-in web search backends (Parallel AI, Brave, OpenRouter) run alongside Reddit/X/YouTube
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Both variants use the same Python engine and scripts directory. The open variant adds command routing (`watch`, `briefing`, `history`) and references mode-specific instruction files.
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**Optional web search API keys** (add to `~/.config/last30days/.env`):
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```bash
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PARALLEL_API_KEY=... # Parallel AI (preferred — LLM-optimized results)
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PARALLEL_API_KEY=... # Parallel AI (preferred - LLM-optimized results)
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BRAVE_API_KEY=... # Brave Search (free tier: 2,000 queries/month)
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OPENROUTER_API_KEY=... # OpenRouter/Perplexity Sonar Pro
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```
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@@ -135,18 +135,18 @@ Examples:
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**Query:** `/last30days nano banana pro prompting`
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**Research Output:**
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> JSON prompting is the dominant technique — The X community overwhelmingly uses structured JSON prompts rather than plain text. Creators like @Xmira_belle, @Cicily_aura, @RubenSalvo_, and @mahivisuals all share prompts in JSON format with nested objects for metadata, subject descriptions, lighting, camera specs, and scene composition. @realdigitaldao made a static ad "in less than 5 min" using a simple JSON prompt.
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> JSON prompting is the dominant technique - The X community overwhelmingly uses structured JSON prompts rather than plain text. Creators like @Xmira_belle, @Cicily_aura, @RubenSalvo_, and @mahivisuals all share prompts in JSON format with nested objects for metadata, subject descriptions, lighting, camera specs, and scene composition. @realdigitaldao made a static ad "in less than 5 min" using a simple JSON prompt.
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>
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> Prompt adherence is Nano Banana Pro's killer advantage — JSON prompts hit 92% precision for color accuracy, lighting ratios, and composition vs ~68% for natural language prompts, per fofr.ai. @artingent directly compared it to GPT Image 1.5 and noted Nano Banana Pro has higher prompt adherence — "GPT image 1.5 ignored the Top Down instruction."
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> Prompt adherence is Nano Banana Pro's killer advantage - JSON prompts hit 92% precision for color accuracy, lighting ratios, and composition vs ~68% for natural language prompts, per fofr.ai. @artingent directly compared it to GPT Image 1.5 and noted Nano Banana Pro has higher prompt adherence - "GPT image 1.5 ignored the Top Down instruction."
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>
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> Stop writing "tag soup" — act like a Creative Director — The biggest shift is away from comma-separated keyword lists toward natural language descriptions with clear structure. The ICS Framework (Image type, Content, Style) and the 5-element formula (subject, composition, action, setting, style) are the two dominant approaches, per r/nanobanana2pro.
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> Stop writing "tag soup" - act like a Creative Director - The biggest shift is away from comma-separated keyword lists toward natural language descriptions with clear structure. The ICS Framework (Image type, Content, Style) and the 5-element formula (subject, composition, action, setting, style) are the two dominant approaches, per r/nanobanana2pro.
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**Key patterns discovered:**
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1. JSON > plain text — Structure prompts as JSON objects with keys for subject, composition, lighting, camera, style — per @Xmira_belle, @Cicily_aura
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2. The 5-element formula — Subject + Composition + Action + Setting + Style — per r/nanobanana2pro
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3. Separate subjects into distinct objects — Multi-character scenes need each person in their own JSON block to prevent "concept bleeding" — per fofr.ai
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4. Use camera/lens metadata — Aperture, focal length, ISO, film stock as JSON keys for hidden photorealism control
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5. 14 reference images max — Feed up to 14 reference images for brand/character consistency — per Google DeepMind
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1. JSON > plain text - Structure prompts as JSON objects with keys for subject, composition, lighting, camera, style - per @Xmira_belle, @Cicily_aura
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2. The 5-element formula - Subject + Composition + Action + Setting + Style - per r/nanobanana2pro
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3. Separate subjects into distinct objects - Multi-character scenes need each person in their own JSON block to prevent "concept bleeding" - per fofr.ai
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4. Use camera/lens metadata - Aperture, focal length, ISO, film stock as JSON keys for hidden photorealism control
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5. 14 reference images max - Feed up to 14 reference images for brand/character consistency - per Google DeepMind
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**Research Stats:** 8 Reddit threads (455 upvotes) + 31 X posts (183 likes, 68 reposts) from r/nanobanana2pro, r/promptingmagic, @Xmira_belle (106 likes), @Cicily_aura (45 likes)
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@@ -196,7 +196,7 @@ Examples:
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<img src="assets/swimmom-mockup.jpeg" width="400" alt="SwimMom iOS app mockup"/>
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</p>
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This example shows /last30days learning that **JSON prompts dominate** the Nano Banana Pro community (not plain text), then applying that format to generate an iOS mockup in one shot. The research came from real X creators and Reddit threads — techniques you wouldn't find in official docs.
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This example shows /last30days learning that **JSON prompts dominate** the Nano Banana Pro community (not plain text), then applying that format to generate an iOS mockup in one shot. The research came from real X creators and Reddit threads - techniques you wouldn't find in official docs.
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---
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@@ -205,29 +205,29 @@ This example shows /last30days learning that **JSON prompts dominate** the Nano
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**Query:** `/last30days kanye west`
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**Research Output:**
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> **The Apology Arc** — On January 26, Ye published a full-page letter in The Wall Street Journal titled "To Those I've Hurt," apologizing for antisemitic comments and attributing it to a four-month manic episode, an undiagnosed brain injury from his 2002 car crash, and bipolar type-1 disorder. The ADL called it "long overdue" but said it "doesn't automatically undo his long history of antisemitism." Then on February 9, he posted "I love Hitler now what" — blowing up the goodwill almost immediately, per The Mirror. Fans on X are split on whether the apology was genuine or just pre-album PR, per @dekreationz's viral post (8.6K likes).
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> **The Apology Arc** - On January 26, Ye published a full-page letter in The Wall Street Journal titled "To Those I've Hurt," apologizing for antisemitic comments and attributing it to a four-month manic episode, an undiagnosed brain injury from his 2002 car crash, and bipolar type-1 disorder. The ADL called it "long overdue" but said it "doesn't automatically undo his long history of antisemitism." Then on February 9, he posted "I love Hitler now what" - blowing up the goodwill almost immediately, per The Mirror. Fans on X are split on whether the apology was genuine or just pre-album PR, per @dekreationz's viral post (8.6K likes).
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>
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> **BULLY Album** — Twelfth studio album set for March 20 via YZY and Gamma. 13 tracks with Peso Pluma, Playboi Carti, and Ty Dolla Sign features. Sonically it leans toward 808s/MBDTF territory — more singing than rapping. Ye has reportedly removed all deepfaked/AI-generated vocals from the final version, per Rolling Stone.
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> **BULLY Album** - Twelfth studio album set for March 20 via YZY and Gamma. 13 tracks with Peso Pluma, Playboi Carti, and Ty Dolla Sign features. Sonically it leans toward 808s/MBDTF territory - more singing than rapping. Ye has reportedly removed all deepfaked/AI-generated vocals from the final version, per Rolling Stone.
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>
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> **Bianca Censori Breaks Silence** — In a Vanity Fair tell-all, Bianca spoke publicly for the first time about their marriage, saying "This year was a lot like doing CPR for months." She confirmed her outfits are her own choice and revealed their relationship started when she was head of architecture at Yeezy, per TMZ.
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> **Bianca Censori Breaks Silence** - In a Vanity Fair tell-all, Bianca spoke publicly for the first time about their marriage, saying "This year was a lot like doing CPR for months." She confirmed her outfits are her own choice and revealed their relationship started when she was head of architecture at Yeezy, per TMZ.
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>
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> **Kim/Instagram Drama** — A screenshot of Ye allegedly commenting on Kim's Complex magazine post went mega-viral on X. Multiple Grok fact-checks confirmed it's likely fabricated, but @dekreationz's post racked up nearly 9K likes regardless — showing the Ye/Kim narrative still drives massive engagement.
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> **Kim/Instagram Drama** - A screenshot of Ye allegedly commenting on Kim's Complex magazine post went mega-viral on X. Multiple Grok fact-checks confirmed it's likely fabricated, but @dekreationz's post racked up nearly 9K likes regardless - showing the Ye/Kim narrative still drives massive engagement.
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**Key patterns from the research:**
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1. Apology-then-relapse cycle — The WSJ letter was immediately undercut by new inflammatory posts, making sincerity the dominant debate, per Washington Post
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2. Album as PR vehicle — Skeptics across X tie the apology's timing directly to BULLY's March 20 release, per @trustGod_007
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3. Bianca as her own story — Transitioning from "Kanye's wife" to individual public figure through Vanity Fair
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4. Fake screenshot virality — Fabricated Ye content still goes massively viral before debunking, per @dekreationz
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1. Apology-then-relapse cycle - The WSJ letter was immediately undercut by new inflammatory posts, making sincerity the dominant debate, per Washington Post
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2. Album as PR vehicle - Skeptics across X tie the apology's timing directly to BULLY's March 20 release, per @trustGod_007
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3. Bianca as her own story - Transitioning from "Kanye's wife" to individual public figure through Vanity Fair
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4. Fake screenshot virality - Fabricated Ye content still goes massively viral before debunking, per @dekreationz
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**Research Stats:** 3 Reddit threads (193 upvotes, 192 comments) + 33 X posts (9,295 likes, 279 reposts) from r/Kanye, r/hiphopheads, @dekreationz (8,684 likes), @trustGod_007
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**Follow-up suggestions offered:**
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> I'm now an expert on Kanye West. Some things I can help with:
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> - What's the real story behind the apology letter — genuine accountability or pre-album PR?
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> - What's the real story behind the apology letter - genuine accountability or pre-album PR?
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> - Deep dive on BULLY: tracklist, Gamma deal, and removal of AI vocals
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> - The Bianca Censori Vanity Fair interview — what she actually said vs. the tabloid headlines
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> - The Bianca Censori Vanity Fair interview - what she actually said vs. the tabloid headlines
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This example shows /last30days as a **current events research tool** — no prompting, no target tool, just "what's happening with Kanye?" and you get a synthesized expert briefing pulled from 33 X posts and 3 Reddit threads with real engagement data.
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This example shows /last30days as a **current events research tool** - no prompting, no target tool, just "what's happening with Kanye?" and you get a synthesized expert briefing pulled from 33 X posts and 3 Reddit threads with real engagement data.
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---
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@@ -236,18 +236,18 @@ This example shows /last30days as a **current events research tool** — no prom
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**Query:** `/last30days higgsfield motion vibe motion prompting`
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**Research Output:**
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> **Vibe Motion just launched (Feb 5-6, 2026) and it's blowing up** — Higgsfield dropped a Claude-powered motion design tool that generates editable motion graphics from plain-English prompts. It's the first AI video tool with actual reasoning, per @Hartdrawss, and @rezkhere called it out as something "no other AI can do." Linus Ekenstam said it "broke his brain" — work that took hours in After Effects now takes minutes.
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> **Vibe Motion just launched (Feb 5-6, 2026) and it's blowing up** - Higgsfield dropped a Claude-powered motion design tool that generates editable motion graphics from plain-English prompts. It's the first AI video tool with actual reasoning, per @Hartdrawss, and @rezkhere called it out as something "no other AI can do." Linus Ekenstam said it "broke his brain" - work that took hours in After Effects now takes minutes.
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>
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> **It generates code, not pixels** — Unlike other AI video tools, Vibe Motion produces actual animation code (via Remotion under the hood), not hallucinated video. Text never breaks, edits stay consistent, and you get a controllable, editable asset, per @Totinhiiio.
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> **It generates code, not pixels** - Unlike other AI video tools, Vibe Motion produces actual animation code (via Remotion under the hood), not hallucinated video. Text never breaks, edits stay consistent, and you get a controllable, editable asset, per @Totinhiiio.
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>
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> **Honest reviews: promising but not polished yet** — Chase Jarvis found results "okay" but noted 5+ minute render times, credit burn on iteration (8-60 credits per gen, $9 plan = ~150 credits), and that basic results are achievable faster with Canva. His verdict: "not quite ready for prime time" but the underlying tech shows significant potential.
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> **Honest reviews: promising but not polished yet** - Chase Jarvis found results "okay" but noted 5+ minute render times, credit burn on iteration (8-60 credits per gen, $9 plan = ~150 credits), and that basic results are achievable faster with Canva. His verdict: "not quite ready for prime time" but the underlying tech shows significant potential.
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**Key patterns discovered:**
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1. Describe structure, not effects — Focus on timing, hierarchy, typography, and flow rather than expressive visual storytelling, per Higgsfield's official guide
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2. Upload your actual assets first — Brand logos, product images, PDFs give the AI context to build around YOUR files, not generic placeholders
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3. Use presets as starting points — Select a format (Infographics, Text Animation, Posters) before writing your prompt
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4. Keep prompts conversational and direct — Short commands > long descriptions. "Create a kinetic typography intro" beats a paragraph of specs, per Segmind
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5. Budget for iteration — Each generation burns credits, so get your prompt right before hitting generate, per Chase Jarvis
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1. Describe structure, not effects - Focus on timing, hierarchy, typography, and flow rather than expressive visual storytelling, per Higgsfield's official guide
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2. Upload your actual assets first - Brand logos, product images, PDFs give the AI context to build around YOUR files, not generic placeholders
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3. Use presets as starting points - Select a format (Infographics, Text Animation, Posters) before writing your prompt
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4. Keep prompts conversational and direct - Short commands > long descriptions. "Create a kinetic typography intro" beats a paragraph of specs, per Segmind
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5. Budget for iteration - Each generation burns credits, so get your prompt right before hitting generate, per Chase Jarvis
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**Research Stats:** 10 Reddit threads + 30 X posts from @rezkhere, @Hartdrawss, @Totinhiiio + 14 web pages (Higgsfield blog, Chase Jarvis, SiliconANGLE, Segmind)
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@@ -257,7 +257,7 @@ This example shows /last30days as a **current events research tool** — no prom
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> - A kinetic typography intro/bumper for a YouTube series
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> - A logo reveal animation with particle effects and custom brand colors
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This example shows /last30days researching **a tool that launched 2 days ago**. No blog roundups existed yet — the research came from X creators and Reddit threads reacting in real-time. You get prompting advice from the people actually using it, not SEO articles written after the fact.
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This example shows /last30days researching **a tool that launched 2 days ago**. No blog roundups existed yet - the research came from X creators and Reddit threads reacting in real-time. You get prompting advice from the people actually using it, not SEO articles written after the fact.
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---
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@@ -890,21 +890,21 @@ If your OpenAI org doesn't have access to a model (e.g., unverified for gpt-4.1)
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V2 finds significantly more content than V1. Two major improvements:
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**Smarter query construction** - V1 sent overly specific queries to X search (literal keyword AND matching), causing 0 results on topics that were actively trending. V2 aggressively strips research/meta words ("best", "prompt", "techniques", "tips") and question prefixes ("what are people saying about") to extract just the core topic. Example: `"vibe motion best prompt techniques"` now searches for `"vibe motion"` instead of `"vibe motion prompt techniques"` — going from 0 posts to 12+. Automatically retries with fewer keywords if the first attempt returns nothing.
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**Smarter query construction** - V1 sent overly specific queries to X search (literal keyword AND matching), causing 0 results on topics that were actively trending. V2 aggressively strips research/meta words ("best", "prompt", "techniques", "tips") and question prefixes ("what are people saying about") to extract just the core topic. Example: `"vibe motion best prompt techniques"` now searches for `"vibe motion"` instead of `"vibe motion prompt techniques"` - going from 0 posts to 12+. Automatically retries with fewer keywords if the first attempt returns nothing.
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**Smart supplemental search (Phase 2)** - After the initial broad search, extracts key @handles and subreddits from the results, then runs targeted follow-up searches to find content that keyword search alone misses. Example: researching "Open Claw" automatically discovers @openclaw, @steipete and drills into their posts. For Reddit, it hits the free `.json` search endpoint scoped to discovered subreddits — no extra API keys needed.
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**Smart supplemental search (Phase 2)** - After the initial broad search, extracts key @handles and subreddits from the results, then runs targeted follow-up searches to find content that keyword search alone misses. Example: researching "Open Claw" automatically discovers @openclaw, @steipete and drills into their posts. For Reddit, it hits the free `.json` search endpoint scoped to discovered subreddits - no extra API keys needed.
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**Reddit JSON enrichment** - Fetches real upvote and comment counts from Reddit's free API for every thread, giving you actual engagement signals instead of estimates.
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### Open-class skill with watchlists (v2.1)
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**The biggest feature in v2.1 isn't a new source — it's what happens when you stop thinking of /last30days as a one-shot tool.** The open variant adds a watchlist, briefings, and history. Add `"Competitor X"` to your watchlist, set it to weekly, and every Monday morning you have a research briefing waiting — what they shipped, what people said about it, what Reddit and X are discussing. Do the same for your partners, your board members, an emerging technology you're tracking. The research accumulates in a local SQLite database, and you can query it anytime with natural language.
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**The biggest feature in v2.1 isn't a new source - it's what happens when you stop thinking of /last30days as a one-shot tool.** The open variant adds a watchlist, briefings, and history. Add `"Competitor X"` to your watchlist, set it to weekly, and every Monday morning you have a research briefing waiting - what they shipped, what people said about it, what Reddit and X are discussing. Do the same for your partners, your board members, an emerging technology you're tracking. The research accumulates in a local SQLite database, and you can query it anytime with natural language.
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This is the use case that changes how you work: **research that runs while you sleep.**
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### YouTube search with transcripts (v2.1)
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**YouTube is now a 4th research source.** When yt-dlp is installed (`brew install yt-dlp`), /last30days automatically searches YouTube for your topic, fetches view counts and engagement data, and extracts auto-generated transcripts from the top videos. Transcripts give the synthesis engine actual content to work with — not just titles.
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**YouTube is now a 4th research source.** When yt-dlp is installed (`brew install yt-dlp`), /last30days automatically searches YouTube for your topic, fetches view counts and engagement data, and extracts auto-generated transcripts from the top videos. Transcripts give the synthesis engine actual content to work with - not just titles.
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YouTube items go through the same scoring pipeline (relevance + recency + engagement) and are deduped, scored, and rendered alongside Reddit and X results. Views dominate YouTube's engagement formula since they're the primary discovery signal.
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@@ -942,4 +942,4 @@ Thanks to the contributors who helped shape V2:
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*30 days of research. 30 seconds of work. Four sources. Zero stale prompts.*
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*Set it once. Get briefings forever. Reddit. X. YouTube. Web. — All synthesized into expert answers and copy-paste prompts.*
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*Set it once. Get briefings forever. Reddit. X. YouTube. Web. - All synthesized into expert answers and copy-paste prompts.*
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+74
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@@ -1,41 +1,41 @@
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# v2.1 Launch Tweets — WORKING DRAFT
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# v2.1 Launch Posts - WORKING DRAFT
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|
||||
## Tweet 1 (Hook)
|
||||
## Post 1 (Hook)
|
||||
|
||||
V2.1 of /last30days launches today. Three headline features:
|
||||
|
||||
## Tweet 2 (Watchlist — THE KILLER FEATURE)
|
||||
## Post 2 (Watchlist - THE KILLER FEATURE)
|
||||
|
||||
SET IT AND FORGET IT.
|
||||
|
||||
Add your competitors, your partners, your board members to a watchlist. /last30days re-researches them automatically — daily or weekly — across Reddit, X, YouTube, and the web.
|
||||
Add your competitors, your partners, your board members to a watchlist. /last30days re-researches them automatically - daily or weekly - across Reddit, X, YouTube, and the web.
|
||||
|
||||
Ask for a briefing anytime. The research runs while you sleep.
|
||||
|
||||
`/last30days watch add "Competitor X product launches"`
|
||||
`/last30days briefing`
|
||||
|
||||
## Tweet 3 (YouTube)
|
||||
## Post 3 (YouTube)
|
||||
|
||||
YOUTUBE IS NOW A 4TH SOURCE.
|
||||
|
||||
The skill searches YouTube, grabs view counts, and reads the actual transcripts. A 20-minute review has 10x the signal of one X post — now the skill reads it.
|
||||
The skill searches YouTube, grabs view counts, and reads the actual transcripts. A 20-minute review has 10x the signal of one X post - now the skill reads it.
|
||||
|
||||
## Tweet 4 (Codex)
|
||||
## Post 4 (Codex)
|
||||
|
||||
WORKS IN OPENAI CODEX.
|
||||
|
||||
Same skill, same engine, same four sources. Install to ~/.agents/skills/last30days and invoke with $last30days. Claude Code and Codex users get the same research.
|
||||
|
||||
## Tweet 5 (Example: Seedance 2.0 access)
|
||||
## Post 5 (Example: Seedance 2.0 access)
|
||||
|
||||
Asked it how to access Seedance 2.0.
|
||||
|
||||
3 Reddit threads. 31 X posts. 20 YouTube videos (685K views, 4 transcripts read). 10 web pages. All four sources hit.
|
||||
|
||||
It found the real answer buried in Chinese YouTube tutorials: Little Skylark (Xiao Yun Que) — zero cost, no queue, no VPN. Just select Seedance 2.0 from the model dropdown. Also surfaced: Disney sent ByteDance a cease-and-desist over uncensored IP generation.
|
||||
It found the real answer buried in Chinese YouTube tutorials: Little Skylark (Xiao Yun Que) - zero cost, no queue, no VPN. Just select Seedance 2.0 from the model dropdown. Also surfaced: Disney sent ByteDance a cease-and-desist over uncensored IP generation.
|
||||
|
||||
## Tweet 6 (Example: AI Generated Ads)
|
||||
## Post 6 (Example: AI Generated Ads)
|
||||
|
||||
Asked it about AI generated ads.
|
||||
|
||||
@@ -43,7 +43,7 @@ Asked it about AI generated ads.
|
||||
|
||||
The finding that stuck: Svedka ran the first "primarily AI-generated" Super Bowl spot. Brand match: 7%. Industry norm: 63%. Meanwhile 86% of ad buyers are planning to use AI for video ads anyway. Cost is winning over quality.
|
||||
|
||||
## Tweet 7 (Example: Peter Steinberger)
|
||||
## Post 7 (Example: Peter Steinberger)
|
||||
|
||||
Asked it about @steipete.
|
||||
|
||||
@@ -51,7 +51,7 @@ Asked it about @steipete.
|
||||
|
||||
Key reveal: OpenAI and Meta both made acquisition offers for OpenClaw. He said no. He's losing $10-20K/month maintaining it. "A fun project became a world project."
|
||||
|
||||
## Tweet 8 (Close)
|
||||
## Post 8 (Close)
|
||||
|
||||
Thank you to @hutchins for pushing me to add YouTube and to @steipete for the yt-dlp toolchain that made it possible.
|
||||
|
||||
@@ -63,55 +63,55 @@ github.com/mvanhorn/last30days-skill
|
||||
|
||||
## NOTES
|
||||
|
||||
- Thread leads with the watchlist as the killer feature — "research that runs while you sleep" is the sticky pitch
|
||||
- YouTube is the #2 hero — the stats ("685K views, 4 transcripts read") prove it works
|
||||
- Codex compatibility is #3 — brief but shows cross-platform reach
|
||||
- Example tweets prove quality with verified results from real runs
|
||||
- Consider screenshots of the actual output for each example tweet
|
||||
- @steipete credit in close — he inspired YouTube (yt-dlp toolchain) and X search (Bird MIT code)
|
||||
- @slashlast30days vs /last30days — which handle? Used /last30days above since it's the actual command
|
||||
- Thread leads with the watchlist as the killer feature - "research that runs while you sleep" is the sticky pitch
|
||||
- YouTube is the #2 hero - the stats ("685K views, 4 transcripts read") prove it works
|
||||
- Codex compatibility is #3 - brief but shows cross-platform reach
|
||||
- Example posts prove quality with verified results from real runs
|
||||
- Consider screenshots of the actual output for each example post
|
||||
- @steipete credit in close - he inspired YouTube (yt-dlp toolchain) and X search (Bird MIT code)
|
||||
- @slashlast30days vs /last30days - which handle? Used /last30days above since it's the actual command
|
||||
|
||||
---
|
||||
|
||||
## RAW RESULTS (for reference / pulling quotes)
|
||||
|
||||
### Nano Banana Pro prompting (PROMPTING) — VERIFIED 2/15
|
||||
### Nano Banana Pro prompting (PROMPTING) - VERIFIED 2/15
|
||||
|
||||
Stats: 0 Reddit (timed out) | 32 X posts | 164 likes | 22 reposts | 5 YouTube videos | 98,539 views | 5 with transcripts | 10 web pages
|
||||
Top voices: @KusoPhoto (106 likes), @TzqQaiser (35 likes) | Jake Dawson (15K views), AI Master (37K views)
|
||||
|
||||
Key findings:
|
||||
- Structured JSON prompts are the meta — nested fields for character, scene, lighting beat plain prose. @TzqQaiser's viral post shows the format.
|
||||
- Design brief > keyword stuffing — "The second I started writing prompts like a real design brief, everything changed" — Jake Dawson on YouTube
|
||||
- 6-factor formula: Subject, Composition, Action, Setting, Style, then refine with camera/lighting — per Google's official blog
|
||||
- ICS framework for infographics: Image type + Content + Style — leverages Nano Banana Pro's unique legible text rendering
|
||||
- Scale logic for cinematic compositions — define size relationships and camera distance explicitly, per @Strength04_X
|
||||
- Nano Banana Pro → video pipeline trending (generate image, animate with Kling 3.0 or Veo 3.1) — per @KusoPhoto
|
||||
- Structured JSON prompts are the meta - nested fields for character, scene, lighting beat plain prose. @TzqQaiser's viral post shows the format.
|
||||
- Design brief > keyword stuffing - "The second I started writing prompts like a real design brief, everything changed" - Jake Dawson on YouTube
|
||||
- 6-factor formula: Subject, Composition, Action, Setting, Style, then refine with camera/lighting - per Google's official blog
|
||||
- ICS framework for infographics: Image type + Content + Style - leverages Nano Banana Pro's unique legible text rendering
|
||||
- Scale logic for cinematic compositions - define size relationships and camera distance explicitly, per @Strength04_X
|
||||
- Nano Banana Pro → video pipeline trending (generate image, animate with Kling 3.0 or Veo 3.1) - per @KusoPhoto
|
||||
|
||||
### Peter Steinberger / OpenClaw creator (GENERAL) — VERIFIED 2/15
|
||||
### Peter Steinberger / OpenClaw creator (GENERAL) - VERIFIED 2/15
|
||||
|
||||
Stats: 31 X posts | 0 Reddit (quiet) | YouTube timed out on 2 | 4 web pages
|
||||
Top voices: @steipete | Lex Fridman podcast
|
||||
|
||||
Key findings:
|
||||
- Lex Fridman podcast (Feb 12) went viral — "One of the most honest discussions I've seen"
|
||||
- OpenAI and Meta made acquisition offers (conditional on keeping project open) — he declined
|
||||
- Lex Fridman podcast (Feb 12) went viral - "One of the most honest discussions I've seen"
|
||||
- OpenAI and Meta made acquisition offers (conditional on keeping project open) - he declined
|
||||
- Losing $10-20K/month maintaining OpenClaw, rejected crypto tokenization for funding
|
||||
- 180K+ GitHub stars, 6,600 commits in 1 month — "A fun project became a world project"
|
||||
- 180K+ GitHub stars, 6,600 commits in 1 month - "A fun project became a world project"
|
||||
- Also built: gogcli (Google Workspace CLI), summarize (URL/YouTube summarizer), bird (X/Twitter CLI)
|
||||
- Pragmatic Engineer: "I ship code I don't read"
|
||||
- Prediction: AI agents could dominate >60% of software economy by 2030
|
||||
|
||||
### Seedance 2.0 Prompting (PROMPTING) — VERIFIED 2/15
|
||||
### Seedance 2.0 Prompting (PROMPTING) - VERIFIED 2/15
|
||||
|
||||
Stats: 21 Reddit threads | 33 X posts | 20 YouTube videos | 5 web pages
|
||||
Top voices: @charliebcurran (61K+ likes) | r/AI_Agents, r/ChatGPT, r/PromptEngineering | AI Search (127K views), Theoretically Media (157K views), Dan Dingle (126K views)
|
||||
|
||||
Key findings:
|
||||
- "Slow and continuous" is the #1 prompting secret — rough state transitions = worse outcomes, per r/AI_Agents
|
||||
- Include timings in prompts (e.g., "0-3s: character walks, 3-6s: turns head") — per r/ChatGPT
|
||||
- Image-to-video for consistency — start with a reference image, not text-only
|
||||
- English works just as well as Chinese — per r/AI_India
|
||||
- "Slow and continuous" is the #1 prompting secret - rough state transitions = worse outcomes, per r/AI_Agents
|
||||
- Include timings in prompts (e.g., "0-3s: character walks, 3-6s: turns head") - per r/ChatGPT
|
||||
- Image-to-video for consistency - start with a reference image, not text-only
|
||||
- English works just as well as Chinese - per r/AI_India
|
||||
- CapCut integration coming = "every 12 year old in America will have this superpower"
|
||||
- Cost: ~$0.55/10s clips (~$3.30/min), Seedance 3.0 rumored at 1/8th price
|
||||
- Prompt resources: GitHub repo of curated prompts, Prompt Director Pro (440 settings system)
|
||||
@@ -123,14 +123,14 @@ Stats: 35 Reddit threads | ~1,130 upvotes | ~566 comments | 23 X posts | ~24 lik
|
||||
Top voices: @gio__aa (8 likes), @ericosiu, @artyomx | r/openclaw, r/clawdbot, r/LocalLLaMA
|
||||
|
||||
Key findings:
|
||||
- Email & Inbox Automation — 8+ mentions. One user cleared 4,000+ emails in two days. 10-15 hours/week saved.
|
||||
- Business Dashboards & Real-Time Reporting — 6+ mentions. @gio__aa: "Business dashboards are going to become one of the most popular use cases."
|
||||
- Morning Briefings — 5+ mentions. Pulls from calendars, weather, emails, RSS, GitHub, Hacker News on a schedule.
|
||||
- Content & SEO Pipelines — 5+ mentions. @ericosiu claims "$45k of pSEO work in 20 minutes."
|
||||
- Full CRM & Business Operations — 4+ mentions. @artyomx runs a daycare business, legal cases, and family comms through it with 5 AI agents.
|
||||
- Client Onboarding & Support — 4+ mentions. "70% of tickets handled autonomously."
|
||||
- Competitive Monitoring & Scraping — 4+ mentions.
|
||||
- Wrapper/Hosting SaaS — 3+ mentions. Building commercial wrappers around OpenClaw as a business.
|
||||
- Email & Inbox Automation - 8+ mentions. One user cleared 4,000+ emails in two days. 10-15 hours/week saved.
|
||||
- Business Dashboards & Real-Time Reporting - 6+ mentions. @gio__aa: "Business dashboards are going to become one of the most popular use cases."
|
||||
- Morning Briefings - 5+ mentions. Pulls from calendars, weather, emails, RSS, GitHub, Hacker News on a schedule.
|
||||
- Content & SEO Pipelines - 5+ mentions. @ericosiu claims "$45k of pSEO work in 20 minutes."
|
||||
- Full CRM & Business Operations - 4+ mentions. @artyomx runs a daycare business, legal cases, and family comms through it with 5 AI agents.
|
||||
- Client Onboarding & Support - 4+ mentions. "70% of tickets handled autonomously."
|
||||
- Competitive Monitoring & Scraping - 4+ mentions.
|
||||
- Wrapper/Hosting SaaS - 3+ mentions. Building commercial wrappers around OpenClaw as a business.
|
||||
|
||||
Cautions: malware in a top-downloaded skill (236 upvotes on r/LocalLLaMA), $25-50/day token burn risk, hours of config for marginal savings.
|
||||
|
||||
@@ -140,12 +140,12 @@ Stats: 7 Reddit threads | 654 upvotes | 176 comments | 32 X posts | 110 likes |
|
||||
Top voices: @TeamYouTube, @thewindwolf64 | r/NewTubers, r/YouTubeThumbnailHub | Think Media (1.17M views), whirow (1.46M views)
|
||||
|
||||
Key findings:
|
||||
- Simplicity is #1 — r/NewTubers post (654 upvotes) from someone who designed 346 thumbnails: one subject, one message, one second to understand. 3+ elements = ~23% lower CTR.
|
||||
- Less text = more clicks — Under 4 words gets ~30% higher CTR. Mobile thumbnails shrink to 168x94px — text becomes unreadable.
|
||||
- Faces still win but subtlety is trending — Faces boost CTR 20-30%, but exaggerated shock face is giving way to authentic expressions in 2026.
|
||||
- "UnThumbnails" are a counter-trend — Nate Black (71K views): deliberately raw, less-designed thumbnails that stand out.
|
||||
- AI tools changing the game — Nick Nimmin (90K views) showed free AI tools democratizing thumbnail creation.
|
||||
- A/B test everything — YouTube's built-in thumbnail testing lets you test up to 3 versions per video.
|
||||
- Simplicity is #1 - r/NewTubers post (654 upvotes) from someone who designed 346 thumbnails: one subject, one message, one second to understand. 3+ elements = ~23% lower CTR.
|
||||
- Less text = more clicks - Under 4 words gets ~30% higher CTR. Mobile thumbnails shrink to 168x94px - text becomes unreadable.
|
||||
- Faces still win but subtlety is trending - Faces boost CTR 20-30%, but exaggerated shock face is giving way to authentic expressions in 2026.
|
||||
- "UnThumbnails" are a counter-trend - Nate Black (71K views): deliberately raw, less-designed thumbnails that stand out.
|
||||
- AI tools changing the game - Nick Nimmin (90K views) showed free AI tools democratizing thumbnail creation.
|
||||
- A/B test everything - YouTube's built-in thumbnail testing lets you test up to 3 versions per video.
|
||||
|
||||
### AI SaaS crash (NEWS)
|
||||
|
||||
@@ -153,51 +153,51 @@ Stats: 9 Reddit threads | 31 upvotes | 52 comments | 32 X posts | 39 likes | 2 r
|
||||
Top voices: @jasonlk (15 likes), @WarrenInTheBuff (11 likes), @xankriegor_ | r/SaaS, r/aiwars
|
||||
|
||||
Key findings:
|
||||
- "SaaSpocalypse" — $285B wiped in a single day (Feb 3, 2026) after Anthropic launched Claude Cowork. Total losses exceeded $1T. Salesforce down 27% YTD, Oracle halved.
|
||||
- @jasonlk: "The real inflection point wasn't January 2026. It was June 2024 — when Claude 3.5 Sonnet shipped." Public SaaS growth rates declined every quarter since 2021 peak.
|
||||
- Seat-based pricing is the casualty — 10 AI agents replace 100 sales reps = no need for 100 Salesforce seats. $470B+ hyperscaler AI spend coming from enterprise software budgets.
|
||||
- Not everyone buying the doom — Jensen Huang called it "the most illogical thing in the world." BofA called selloff irrational.
|
||||
- Indian IT hit especially hard — biggest sell-off since 2020.
|
||||
- "SaaSpocalypse" - $285B wiped in a single day (Feb 3, 2026) after Anthropic launched Claude Cowork. Total losses exceeded $1T. Salesforce down 27% YTD, Oracle halved.
|
||||
- @jasonlk: "The real inflection point wasn't January 2026. It was June 2024 - when Claude 3.5 Sonnet shipped." Public SaaS growth rates declined every quarter since 2021 peak.
|
||||
- Seat-based pricing is the casualty - 10 AI agents replace 100 sales reps = no need for 100 Salesforce seats. $470B+ hyperscaler AI spend coming from enterprise software budgets.
|
||||
- Not everyone buying the doom - Jensen Huang called it "the most illogical thing in the world." BofA called selloff irrational.
|
||||
- Indian IT hit especially hard - biggest sell-off since 2020.
|
||||
|
||||
### Seedance 2.0 access (GENERAL) — VERIFIED 2/15, ALL 4 SOURCES
|
||||
### Seedance 2.0 access (GENERAL) - VERIFIED 2/15, ALL 4 SOURCES
|
||||
|
||||
Stats: 3 Reddit threads | 114 upvotes | 183 comments | 31 X posts | 191 likes | 13 reposts | 20 YouTube videos | 685,297 views | 4 with transcripts | 10 web pages
|
||||
Top voices: @markgadala (116 likes), @OrctonAI, @nemovideoai | Theoretically Media (158K views) | r/AIHubSpace
|
||||
|
||||
Key findings:
|
||||
- Little Skylark (Xiao Yun Que) = best free method — zero cost, no queue, manually select Seedance 2.0 from model dropdown, per YouTube tutorials
|
||||
- Jimeng (Dreamina) — 1 RMB trial (~$0.14), ~260 daily free credits, but severe congestion with hours-long waits for free users
|
||||
- Doubao App — 10 free video gens/day, requires joining Feishu/Lark group and submitting UID (1-2 day wait)
|
||||
- Feb 24 = global unlock — Dreamina + CapCut + API access through BytePlus
|
||||
- IP controversy exploding — @markgadala's "fully uncensored Seedance 2" post (116 likes) went viral, Disney sent C&D to ByteDance, SAG-AFTRA slammed "blatant infringement" over AI Tom Cruise/Brad Pitt fight videos
|
||||
- Third-party race — NemoVideoAI, ChatCut, RecCloud, Morph Studio all competing to be the English-language access point
|
||||
- Little Skylark (Xiao Yun Que) = best free method - zero cost, no queue, manually select Seedance 2.0 from model dropdown, per YouTube tutorials
|
||||
- Jimeng (Dreamina) - 1 RMB trial (~$0.14), ~260 daily free credits, but severe congestion with hours-long waits for free users
|
||||
- Doubao App - 10 free video gens/day, requires joining Feishu/Lark group and submitting UID (1-2 day wait)
|
||||
- Feb 24 = global unlock - Dreamina + CapCut + API access through BytePlus
|
||||
- IP controversy exploding - @markgadala's "fully uncensored Seedance 2" post (116 likes) went viral, Disney sent C&D to ByteDance, SAG-AFTRA slammed "blatant infringement" over AI Tom Cruise/Brad Pitt fight videos
|
||||
- Third-party race - NemoVideoAI, ChatCut, RecCloud, Morph Studio all competing to be the English-language access point
|
||||
- Quality consensus: "crushes everything" (AI Search, 128K views), "claims the AI video throne" (Theoretically Media, 158K views)
|
||||
|
||||
### AI Generated Ads (GENERAL) — VERIFIED 2/15, ALL 4 SOURCES
|
||||
### AI Generated Ads (GENERAL) - VERIFIED 2/15, ALL 4 SOURCES
|
||||
|
||||
Stats: 12 Reddit threads | 5 upvotes | 15 comments | 29 X posts | 101 likes | 3 reposts | 3 YouTube videos | 82,896 views | 3 with transcripts | 30 web pages
|
||||
Top voices: @CaptainMcKlide (77 likes), @ugcbykaytelynn | r/editors, r/AI_UGC_Marketing, BERNTH (39K views)
|
||||
|
||||
Key findings:
|
||||
- Super Bowl 2026 was the watershed — 23% of ads (15/66) featured AI, reception "sharply negative," nearly 50% of social mentions critical
|
||||
- Svedka ran the first "primarily AI-generated" national Super Bowl spot — brand match of just 7% vs 63% alcohol industry norm
|
||||
- Massive perception gap — 82% of ad execs think Gen Z feels positive about AI ads, but only 45% of consumers do (IAB). Gen Z most hostile at 39% negative.
|
||||
- AI UGC booming in e-commerce — r/AI_UGC_Marketing active hub, tools: Creatify, MakeUGC, ArcAds targeting dropshippers
|
||||
- Quality still low — r/dropshipping: "the hand flip and rubbing on the face looks fake"
|
||||
- Super Bowl 2026 was the watershed - 23% of ads (15/66) featured AI, reception "sharply negative," nearly 50% of social mentions critical
|
||||
- Svedka ran the first "primarily AI-generated" national Super Bowl spot - brand match of just 7% vs 63% alcohol industry norm
|
||||
- Massive perception gap - 82% of ad execs think Gen Z feels positive about AI ads, but only 45% of consumers do (IAB). Gen Z most hostile at 39% negative.
|
||||
- AI UGC booming in e-commerce - r/AI_UGC_Marketing active hub, tools: Creatify, MakeUGC, ArcAds targeting dropshippers
|
||||
- Quality still low - r/dropshipping: "the hand flip and rubbing on the face looks fake"
|
||||
- @ugcbykaytelynn warns "AI generated ads RUIN your brand's image"
|
||||
- Cost winning over quality — 86% of ad buyers using or planning gen AI for video ads, cost efficiency #1 driver (64%), per IAB
|
||||
- BERNTH on YouTube bought AI-generated guitar product ads, documented absurdity — four-fingered hands, instruments don't match listings (39K views)
|
||||
- Trust erosion spreading — people now question whether ANY media is real, even billboards, per @N0rbertas
|
||||
- Cost winning over quality - 86% of ad buyers using or planning gen AI for video ads, cost efficiency #1 driver (64%), per IAB
|
||||
- BERNTH on YouTube bought AI-generated guitar product ads, documented absurdity - four-fingered hands, instruments don't match listings (39K views)
|
||||
- Trust erosion spreading - people now question whether ANY media is real, even billboards, per @N0rbertas
|
||||
|
||||
### last30days skill (META/GENERAL) — VERIFIED 2/15
|
||||
### last30days skill (META/GENERAL) - VERIFIED 2/15
|
||||
|
||||
Stats: 0 Reddit | 30 X posts | 1,371 likes | 107 reposts | 5 YouTube videos | 112,082 views | 3 with transcripts | 10 web pages
|
||||
Top voices: @gregisenberg (1,290 likes), @mvanhorn (34 likes) | Alejandro AO (39K views), Greg Isenberg (28K views)
|
||||
|
||||
Key findings:
|
||||
- @gregisenberg's tweet (1,290 likes, 106 RT) + YouTube video (28K views) "The Claude Code Skill My Smartest Friends Use" was the breakout moment
|
||||
- v2 feedback loop active — @trevin flagged OpenAI web_search not finding niche Reddit posts, suggested Brave API. @jonthebeef submitted PR for --days flag.
|
||||
- People building on top — @tjarkoleifer created "re-skill" meta skill, @rajachirravuri recommends it as part of a PM stack
|
||||
- @gregisenberg's post (1,290 likes, 106 RT) + YouTube video (28K views) "The Claude Code Skill My Smartest Friends Use" was the breakout moment
|
||||
- v2 feedback loop active - @trevin flagged OpenAI web_search not finding niche Reddit posts, suggested Brave API. @jonthebeef submitted PR for --days flag.
|
||||
- People building on top - @tjarkoleifer created "re-skill" meta skill, @rajachirravuri recommends it as part of a PM stack
|
||||
- Coverage: Alejandro AO crash course (39K views, 1,049 likes), Jason Calacanis on This Week in Startups (24K views)
|
||||
- 1.5K GitHub stars, listed on skills.sh and Smithery
|
||||
- Grok itself correctly attributed the skill when asked about ithah
|
||||
Reference in New Issue
Block a user