Watchlist schedules are metadata only — nothing triggers runs
automatically. Updated README to be honest that cron/launchd or an
always-on bot like Open Claw is required for automated scheduling.
Local Claude Code users can still use run-one and run-all manually.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When X posts return engagement: null, dict.get("engagement", {})
returns None (key exists with null value), causing AttributeError.
Use `or {}` idiom to coalesce None to empty dict.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
OpenAI Responses API web_search takes 60-90s but the generic
future timeout was killing it at 30s (quick) / 60s (default).
Added reddit_future key to TIMEOUT_PROFILES (60/90/120s).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
YouTube: Add youtube_future timeout key (60/90/120s for quick/default/deep)
separate from the shared future timeout. YouTube needs more time because
it does search + parallel transcript fetching. Previously, 20 videos +
5 transcripts exceeded the 60s budget and all results were discarded.
Reddit 429: Propagate rate-limit errors instead of swallowing them.
Enrichment now uses 10s timeout / 1 retry (was 30s / 3 retries).
On first 429, cancel remaining enrichment and skip Phase 2 Reddit.
Total time wasted on 429 drops from ~75s to ~12s.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The hard date filter in the main script was double-filtering YouTube
results. youtube_yt.py already applies a soft date filter that prefers
recent videos but keeps older ones when < 3 are within range (for
evergreen topics like "youtube thumbnails"). The hard filter then
removed all of them, resulting in 0 YouTube items.
YouTube content has a longer shelf life than tweets/posts, so the
soft filter's fallback behavior is correct.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The `from . import bird_x` in __init__.py caused ImportError for all
other module imports (youtube_yt, render, etc.) when bird_x had issues,
crashing the entire script in Codex. Making it a bare package marker
lets Python resolve `from lib import X` normally.
Added scripts/sync.sh to deploy to all three skill locations
(~/.claude, ~/.agents, ~/.codex) with import verification.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace CLI-style promo banners with casual, conversational NUX message
that teaches users to say "last30" + natural language. Remove stale Bird
CLI npm install references and dead prompt_bird_install methods.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Script was hanging indefinitely when API sources were slow or
unresponsive. Now enforces bounded execution:
- Global timeout watchdog (180s default, 90s --quick, 300s --deep)
- Per-source future.result() timeouts (60s/30s/90s by depth)
- Parallel Reddit enrichment capped at 15 items / 45s total
- Subprocess process-group isolation (os.setsid + killpg)
- atexit cleanup kills all tracked child processes
- --timeout=N flag for user override
Also fixes the UX gap where missing sources were silently skipped:
- Pre-flight diagnostic banner shows source status before research
- Source status footer in compact output shows used/skipped/why
- Actionable fix commands for each missing source
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove 2>&1 from SKILL.md so stderr doesn't pollute model input
- Run script in foreground (not background) with 5min timeout
- Add explicit YouTube synthesis instruction for Claude
- Remove --flat-playlist which broke date filtering (all dates were None)
- Move date filtering to Python with soft fallback for evergreen topics
- Keep 'tips', 'tutorial', 'review', 'guide' in YouTube search queries
- Increase yt-dlp timeout from 60s to 120s for full metadata fetch
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- _search_web() dispatches to Parallel AI / Brave / OpenRouter based on config
- Web results flow through full pipeline: normalize → score → dedupe
- --diagnose shows all source availability (API keys, Bird, YouTube, web backends)
- --store persists findings to SQLite via store.py for watchlist/briefing system
- run_research() now returns web_items alongside reddit/x/youtube
- web_needed flag only set when no native web backend is available
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add agents/openai.yaml for Codex skill discovery
- Make SKILL.md script path portable (repo, Claude, Codex, agents dirs)
- Platform-neutral output text ("assistant" instead of "Claude")
- Sandbox-friendly cache/output dirs with env var overrides and tempdir fallback
- Add Codex installation docs to README
Inspired by PR #24 (el-analista) and PR #5 (jblwilliams).
Zero impact on existing Claude Code behavior.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Split V2.1 blurb into two clear bullets (YouTube + X search)
- Better X auth section with browser-specific notes and verify command
- Updated intro/tagline to mention YouTube as 4th source
- Added social post drafts and updated issue #19 response with YouTube
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
YouTube search and transcript extraction runs automatically when yt-dlp
is installed. Searches for topic videos from the last N days, fetches
auto-generated transcripts for top results, and feeds them through the
same scoring pipeline (relevance + recency + engagement) as Reddit/X.
New files:
- youtube_yt.py: search, transcript extraction, VTT cleanup
Modified files:
- schema.py: YouTubeItem dataclass, updated Report
- normalize.py: normalize_youtube_items()
- score.py: YouTube engagement scoring (views-dominated)
- dedupe.py: YouTube deduplication
- render.py: YouTube section in compact output
- env.py: is_ytdlp_available() check
- ui.py: YouTube progress messages
- last30days.py: _search_youtube(), parallel execution with Reddit/X
- SKILL.md: YouTube in stats box, citation priority
- README.md: YouTube docs, yt-dlp requirement, Peter shoutout
Inspired by Peter Steinberger's yt-dlp + summarize toolchain approach.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Vendor Bird's Twitter GraphQL search client directly into /last30days,
eliminating the dependency on `npm install -g @steipete/bird`. X search
now works out of the box with just Node.js 22+ and browser cookies.
- Add vendored bird-search.mjs wrapper (search-only subset of Bird v0.8.0)
- Vendor @steipete/sweet-cookie for browser cookie extraction
- Update bird_x.py to call vendored Node.js module instead of `bird` binary
- Update README.md and SKILL.md for v2.1 (remove Bird CLI install steps)
- Include Bird's MIT LICENSE in vendor directory
The fallback chain is: vendored search -> xAI API key -> web-only mode.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Honest about 2-8 min research time vs V1's speed. Points users
to @mvanhorn / @slashlast30days for quick mode feedback.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
"Research typically takes 2-8 minutes (niche topics take longer)."
Shown right after parsed intent, before research starts.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Demonstrates /last30days researching a tool that launched 2 days ago —
before blog roundups existed. Real-time X/Reddit reactions from
@Hartdrawss, @rezkhere, @Totinhiiio plus honest Chase Jarvis review.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Real V2 output: 33 X posts (9.3K likes), @dekreationz viral post,
WSJ apology arc, BULLY album, Bianca Vanity Fair — demonstrates
/last30days as a news/culture research tool, not just prompting.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New example uses fresh V2 research output showing JSON prompting
dominance, @handle citations, and the full research-to-prompt flow.
Removed the old iOS App Mockup example which used the same SwimMom
prompt/image but with stale V1 data.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace generic "[topic]" and --days=7 with concrete examples that
show the range: prompting, news, recommendations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Lead with dramatically better X/Reddit search quality (smarter query
construction + Phase 2 supplemental), Bird CLI as secondary headline,
community contributions in their own section.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Three bugs in _extract_core_subject():
1. Multi-word noise phrases ("what are", "how to") never matched
because code compared individual words against multi-word strings.
"what are people saying about DeepSeek R1" became "what are people
saying" — losing the entire topic.
2. Missing meta words — "prompt", "techniques", "tips" weren't
filtered (only "prompting" was). "vibe motion best prompt
techniques" kept 4 keywords instead of 2.
3. No retry on 0 results — Reddit retries with simplified queries
but X accepted 0 and moved on.
Fix: Two-phase extraction (strip multi-word prefixes/suffixes first,
then individual noise words), expanded noise set, max 3 words (was 4),
and automatic retry with first 2 words when Bird returns 0 results.
Before → After:
- "vibe motion best prompt techniques" → "vibe motion" (was 4 words, 0 results)
- "what are people saying about DeepSeek R1" → "deepseek r1" (was "what are people saying")
- "nano banana pro prompts for gemini" → "nano banana pro" (was 4 words)
Tested: vibe motion (12 X posts, was 0), DeepSeek R1 (12 posts),
kanye west (12 posts, no regression).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add V2 to title
- Document Bird CLI installation (free X search)
- Add --days=N to options table
- Update Requirements to show Bird CLI as recommended free option
- Replace How It Works with two-phase search architecture
- Add What's New in V2 section with all new features
- Credit community contributors (@JosephOIbrahim, @levineam, @jonthebeef)
- Bump http.py USER_AGENT from 1.0 to 2.0
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Every invitation now includes 2-3 specific examples based on what the
research actually found. PROMPTING mode explicitly offers to write prompts
with creative examples. NEWS suggests follow-up questions about the
biggest stories. GENERAL suggests specific deep-dives and applications.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
GENERAL mode said "write a prompt for it" which sounds weird for people/topics
("write a prompt for Kanye West"). Changed to "describe what you're working on
and I'll help." Added "I'm now an expert on {TOPIC}" prefix to all 4 modes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
After the initial broad search (Phase 1), extract key entities from results
and run targeted secondary searches to surface content the broad pass missed:
- New entity_extract.py: parses @handles, #hashtags, subreddits from results
- bird_x.py: search_handles() does targeted from:handle searches via Bird CLI
- openai_reddit.py: search_subreddits() uses Reddit's free .json search endpoint
- last30days.py: Phase 2 orchestration runs after enrichment, merges + dedupes
Tested with "kanye west" (+9 Reddit, +1 X) and "claude code skills" (+6 Reddit, +1 X).
Phase 2 is skipped on --quick mode. Default caps at 3 handles/subs, deep at 5.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Invitation adapts to QUERY_TYPE: NEWS gets "ask me anything",
PROMPTING gets "share your vision", RECOMMENDATIONS gets "compare options"
- Follow-up handler reads intent: questions get answers, not forced prompts
- Restored V1's "if they ask a question, answer it" context memory line
- URL formatting rule: "per Rolling Stone" not raw URLs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add citation priority rule: @handles > r/subreddits > web sources
- Fix examples: "per @honest30bgfan_" instead of "per Rolling Stone"
- Add "lead with people, not publications" instruction
- Stats box: web now shows "(supplementary)" instead of domain list
- No changes to actual research — same quality, better attribution framing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add .claude-plugin/marketplace.json and plugin.json manifests
- Use ${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/skills/last30days} for script path
- Plugin install: uses CLAUDE_PLUGIN_ROOT when set
- Manual install: falls back to ~/.claude/skills/last30days (no breakage)
- SKILL.md stays at root, plugin.json points skills to "./"
Users can now install via:
claude plugin marketplace add mvanhorn/last30days-skill
claude plugin install last30days@last30days
Inspired by PR #1 (galligan) — lighter approach without repo restructure.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
User preferred V1's "I'll research X across Reddit, X, and the web..."
with explicit Parsed intent block over V2's emoji format.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Feature audit found 11 things v2 dropped from v1. Restored the 7 that affect
output quality: quality checklist for prompts, anti-pattern examples, self-check
instruction, "don't re-search" context memory, prompt format anti-pattern,
multi-prompt guidance, and emoji footer with engagement counts.
Also adds visible query parsing display (🔍 **{TOPIC}** · {QUERY_TYPE}) and
the full v1-vs-v2 comparison test plan with all 17 test queries from README.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The old v1 skill worked because context: fork was SILENTLY IGNORED
due to Claude Code bug #17283. The skill ran inline in the main
conversation. Claude Code 2.1+ fixed the bug and now properly
honors fork mode, creating an isolated subagent that ignores all
instruction ordering (text output, bash-first, etc.).
Fix: remove context: fork so the skill runs inline again, matching
the behavior the user knows works. Also restored v1-style
instruction flow: parse intent first, then run script, then WebSearch.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The agent in fork mode ignores text output instructions and jumps
straight to WebSearch. Reverted to the original "YOUR FIRST ACTION:
Run this command. EXECUTE." pattern that actually worked. Embedded
progress display as echo statements inside the bash command so they
can't be skipped. The agent was not running the Python script at all
when the first instruction was about text output.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The agent was skipping the progress text because it was buried after
parsing logic at line 41. Restructured so the FIRST section is
"YOUR FIRST OUTPUT" with the progress block, BEFORE any tool call
instructions. Added explicit "DO NOT skip this" enforcement.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The ui.py spinner/color output goes to stderr which Claude Code
buffers invisibly. Instead, have the agent output a visible progress
block with emoji showing Reddit/X/Web agents deploying.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add back the brief topic acknowledgment ("Researching X — searching
Reddit for upvotes...") and descriptive intro that the v1 skill had.
The v2 version was jumping straight into script execution with no
user-facing feedback about what was being researched.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Stats: replace BAD/GOOD examples with strict fill-in-the-blank template
- Reddit: add subreddit-targeted fallback search, soften scoring penalties
(engagement -10→-3, date confidence -10→-5), add minimum result guarantee
- Citations: limit to 1 per insight, short format, no engagement metrics
- Summary: add bold topic headers template for structured paragraphs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Reverted description to original public repo copy
- Restored H1 heading, moved imperative instruction to bold paragraph
- Added BAD/GOOD examples enforcing emoji tree stats format
- Required @handle and r/subreddit citation in ALL summary types
- Removed agent:Explore and disable-model-invocation from frontmatter
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The Explore agent was treating SKILL.md as documentation to summarize
instead of instructions to follow. Removed agent:Explore from frontmatter
and restructured opening to immediately command script execution.
Also adds release plan for Bird CLI v2.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Matt Van Horn