last30days-skill/CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[2.9.4] - 2026-03-06

Changed

• Move save into Python script via --save-dir flag - raw research data saved during the existing script Bash call, zero extra tool calls after invitation
• Remove entire "Save Research to Documents" section from SKILL.md (~45 lines removed)
• No more 📎 footer, no Bash heredoc, no (No output), no multi-minute cogitation after research

[2.9.3] - 2026-03-06

Fixed

• Critical: Switch save from run_in_background to foreground Bash - background callbacks caused model to re-engage, hallucinate fake user messages, and generate unsolicited multi-paragraph responses
• Save uses foreground cat > heredoc (executes sub-second, no callback, no delayed notification)

[2.9.2] - 2026-03-06

Fixed

• Save research silently using background Bash heredoc instead of Write tool (eliminates "Wrote N lines..." clutter)
• Suppress follow-up text after background save completes (no more "Research briefing saved..." noise)
• Add 📎 footer line for save path instead of verbose confirmation

2.9.1 - 2026-03-05

Highlights

Auto-save research briefings to ~/Documents/Last30Days/ as topic-named .md files. Every run now builds a personal research library automatically - no more manual copy-paste.

Added

• Auto-save complete research briefings (synthesis, stats, follow-up suggestions) to ~/Documents/Last30Days/{topic-slug}.md after every run
• Kebab-case filename generation from topic (e.g., "Claude Code skills" -> claude-code-skills.md)
• Duplicate topic handling: appends date suffix instead of overwriting (e.g., claude-code-skills-2026-03-05.md)
• Agent mode (--agent) also saves research files
• Brief confirmation after save: "Saved to ~/Documents/Last30Days/{slug}.md"

Credits

• @devin_explores -- Inspired this feature by sharing their workflow of saving every last30days run into organized .md files (PR #51)

2.9.0 - 2026-03-05

Highlights

ScrapeCreators Reddit as the default backend (one SCRAPECREATORS_API_KEY covers Reddit + TikTok + Instagram), smart subreddit discovery with relevance-weighted scoring, and top comments elevated with 10% scoring weight and prominent display.

Added

• ScrapeCreators Reddit backend (scripts/lib/reddit.py) — keyword search, subreddit discovery, comment enrichment, all via api.scrapecreators.com
• Smart subreddit discovery with relevance-weighted scoring: frequency × recency × topic-word match, replacing pure frequency count
• UTILITY_SUBS blocklist to filter noise subreddits (r/tipofmytongue, r/whatisthisthing, etc.) from discovery results
• Top comment scoring: 10% weight in engagement formula via log1p(top_comment_score)
• Top comment rendering: 💬 Top comment lines with upvote counts in compact and full report output
• Comment excerpt length increased from 300 → 400 chars; comment_insights limit raised from 7 → 10

Changed

• primaryEnv switched from OPENAI_API_KEY to SCRAPECREATORS_API_KEY — one key now powers Reddit, TikTok, and Instagram
• Reddit engagement scoring formula: 0.55/0.40/0.05 (score/comments/ratio) → 0.50/0.35/0.05/0.10 (score/comments/ratio/top-comment)
• SKILL.md synthesis instructions updated to emphasize quoting top comments

Fixed

• Utility subreddit noise in discovery (e.g., r/tipofmytongue appearing for unrelated topics)
• Reddit search no longer requires OPENAI_API_KEY — ScrapeCreators API handles search directly

2.8.0 - 2026-03-04

Highlights

Instagram Reels as the 8th signal source, TikTok migrated from Apify to ScrapeCreators API, and SKILL.md quality improvements. One API key (SCRAPECREATORS_API_KEY) now covers both TikTok and Instagram.

Added

• Instagram Reels as 8th research source via ScrapeCreators API — keyword search, engagement metrics (views, likes, comments), spoken-word transcript extraction (scripts/lib/instagram.py)
• InstagramItem dataclass, normalization, scoring (45% relevance / 25% recency / 30% engagement), deduplication, cross-source linking, and rendering
• Instagram in SKILL.md: stats template (📸 Instagram:), citation priority, item format description, output footer
• URL-to-name extraction examples in SKILL.md for cleaner web source display
• --search=instagram flag support

Changed

• TikTok backend migrated from Apify to ScrapeCreators API (api.scrapecreators.com)
• APIFY_API_TOKEN replaced by SCRAPECREATORS_API_KEY in config
• SKILL.md version bumped to v2.8
• WebSearch citation instruction strengthened to prevent trailing Sources: blocks
• Security section updated: Apify → ScrapeCreators references

Fixed

• Web stats line showing full URLs instead of plain domain names
• Trailing "Sources:" block appearing after skill invitation (WebSearch tool mandate conflict)
• Instagram/TikTok not running in web-only mode when --search=instagram used without Reddit/X
• $ARGUMENTS quoting in SKILL.md for correct flag forwarding

2.1.0 - 2026-02-15

Highlights

Three headline features: watchlists for always-on bots, YouTube transcripts as a 4th source, and Codex CLI compatibility. Plus bundled X search with no external CLI needed.

Added

• Open-class skill with watchlists, briefings, and history modes (SQLite-backed, FTS5 full-text search, WAL mode) (feat(open))
• YouTube as a 4th research source via yt-dlp -- search, view counts, and auto-generated transcript extraction (feat: Add YouTube)
• OpenAI Codex CLI compatibility -- install to ~/.agents/skills/last30days, invoke with $last30days (feat: Add Codex CLI)
• Bundled X search -- vendored subset of Bird's Twitter GraphQL client (MIT, originally by @steipete), no external CLI needed (v2.1: Bundle Bird X search)
• Native web search backends: Parallel AI, Brave Search, OpenRouter/Perplexity Sonar Pro (feat(engine))
• --diagnose flag for checking available sources and authentication status
• --store flag for SQLite accumulation (open variant)
• Conversational first-run experience (NUX) with dynamic source status (feat(nux))

Changed

• Smarter query construction -- strips noise words, auto-retries with shorter queries when X returns 0 results
• Two-phase search architecture -- Phase 1 discovers entities (@handles, r/subreddits), Phase 2 drills into them
• Reddit JSON enrichment -- real upvotes, comments, and upvote ratio from reddit.com/.json endpoint
• Engagement-weighted scoring: relevance 45%, recency 25%, engagement 30% (log1p dampening)
• Model auto-selection with 7-day cache and fallback chain (gpt-4.1 -> gpt-4o -> gpt-4o-mini)
• --days=N configurable lookback flag (thanks @jonthebeef, #18)
• Model fallback for unverified orgs (thanks @levineam, #16)
• Marketplace plugin support via .claude-plugin/plugin.json (inspired by @galligan, #1)

Fixed

• YouTube timeout increased to 90s, Reddit 429 rate limit fail-fast
• YouTube soft date filter -- keeps evergreen content instead of filtering to 0 results
• Eager import crash in __init__.py that broke Codex environments
• Reddit future timeout (same pattern as YouTube timeout bug)
• Process cleanup on timeout/kill -- tracks child PIDs for clean shutdown
• Windows Unicode fix for cp1252 emoji crash (thanks @JosephOIbrahim, #17)
• X search returning 0 results on popular topics due to over-specific queries

New Contributors

• @JosephOIbrahim -- Windows Unicode fix (#17)
• @levineam -- Model fallback for unverified orgs (#16)
• @jonthebeef -- --days=N configurable lookback (#18)

Credits

• @steipete -- Bird CLI (vendored X search) and yt-dlp/summarize inspiration for YouTube transcripts
• @galligan -- Marketplace plugin inspiration
• @hutchins -- Pushed for YouTube feature

1.0.0 - 2026-01-15

Initial public release. Reddit + X search via OpenAI Responses API and xAI API.