version: "1.0.0" skill: last30days trigger: "news: <topic>" description: "Research any topic across Reddit, X, YouTube, TikTok, Hacker News, Polymarket and web for the last 30 days. Synthesizes findings into a wiki summary. Best for news, trends, recent events, and social sentiment."

Skill: last30days (News & Trends Pipeline)

Wraps the global last30days skill and extends it with a wiki filing phase so findings are persisted into the knowledge base.

Phase 1 — Parse & Announce

Before running any tools, display:

Researching: {TOPIC} across Reddit, X, YouTube, HN, Polymarket, and the web (last 30 days).
Parsed intent:
- TOPIC = {TOPIC}
- QUERY_TYPE = {NEWS | RECOMMENDATIONS | COMPARISON | GENERAL}
Starting research — typically 2–5 minutes.

Classify QUERY_TYPE:

• NEWS — "what's happening with X", "X news", "latest on X", "tin tức X"
• RECOMMENDATIONS — "best X", "top X", "recommended X"
• COMPARISON — "X vs Y", "X so với Y"
• GENERAL — anything else

Phase 2 — Run last30days Research

Find the script — look in project-local first, then fall back to global plugin paths:

# Project-local (preferred — copy scripts/ here after installing the plugin)
PROJECT_LOCAL="skills/last30days/scripts/last30days.py"
 
for dir in \
  "$([ -f "$PROJECT_LOCAL" ] && dirname "$PROJECT_LOCAL")" \
  "${CLAUDE_PLUGIN_ROOT:-}" \
  "$HOME/.claude/plugins/marketplaces/last30days-skill" \
  "$HOME/.claude/plugins/cache/last30days-skill/last30days/2.9.5"; do
  [ -n "$dir" ] && [ -f "$dir/scripts/last30days.py" ] && SKILL_ROOT="$dir" && break
done
 
# Project-local shortcut (avoids nested scripts/ path issue above)
if [ -z "${SKILL_ROOT:-}" ] && [ -f "skills/last30days/scripts/last30days.py" ]; then
  SKILL_ROOT="skills/last30days"
fi
 
if [ -z "${SKILL_ROOT:-}" ]; then
  echo "ERROR: last30days script not found." >&2
  echo "Install the last30days-skill plugin, then copy its scripts/ folder to skills/last30days/scripts/" >&2
  exit 1
fi
 
python3 "${SKILL_ROOT}/scripts/last30days.py" {TOPIC} --emit=compact --no-native-web \
  --save-dir=~/Documents/Last30Days

Use a timeout of 300000ms (5 minutes). Read the FULL output — it contains Reddit, X, YouTube, TikTok, HN, Polymarket, and web sections.

After the script completes, do WebSearch to supplement:

• {TOPIC} news 2026
• {TOPIC} announcement update
• Exclude reddit.com, x.com from results

Phase 3 — Synthesize & Display

Produce the standard last30days output:

What I learned:

• 3–5 key findings, each attributed to a source (per @handle, per r/sub, per HN, per Polymarket)
• Lead with cross-platform signals (strongest evidence)
• Quote top Reddit comments and YouTube transcript highlights directly

Stats block (copy exactly, omit lines with 0 results):

---
✅ Research complete!
├─ 🟠 Reddit: {N} threads │ {N} upvotes │ {N} comments
├─ 🔵 X: {N} posts │ {N} likes │ {N} reposts
├─ 🔴 YouTube: {N} videos │ {N} views │ {N} with transcripts
├─ 🟡 HN: {N} stories │ {N} points │ {N} comments
├─ 📊 Polymarket: {N} markets │ {summary of key odds}
├─ 🌐 Web: {N} pages — Source Name, Source Name
└─ 🗣️ Top voices: @{handle} ({N} likes) │ r/{sub}
---

Phase 4 — Wiki Filing (Knowledge Base Integration)

After displaying findings, automatically file results into the wiki:

4a. Create wiki summary

Write wiki/summaries/news-{topic-slug}-{YYYY-MM-DD}.md:

---
title: "News: {TOPIC} (Last 30 Days)"
domain: news
tags: [news, trends, {topic-tags}]
created: {YYYY-MM-DD}
updated: {YYYY-MM-DD}
source: "last30days research pipeline {YYYY-MM-DD}"
confidence: high
---
 
## Summary
 
{3–5 bullet points of top findings with source attributions}
 
## Key Signals
 
{Cross-platform signals — things appearing across Reddit + X + HN}
 
## Sentiment
 
{Overall community sentiment: positive / mixed / negative, based on upvote/like signals}
 
## Prediction Markets
 
{If Polymarket had relevant markets — include odds and movement}
 
## Sources
 
{Top Reddit threads, X handles, YouTube channels, HN stories with engagement numbers}
 
## Open Questions
 
{Unanswered questions, conflicts between sources, what to watch next}
 
## Related Concepts
 
{[[wikilinks]] to existing wiki concepts related to this topic}

4b. Update or create concept file (if topic has lasting relevance)

If findings reveal durable knowledge (not just ephemeral news), create/update the appropriate concept file in wiki/concepts/. Only create if the topic has structural, long-term significance — not for one-off news events.

4c. Finalize

Run:

./tools/finalize-compile.sh "wiki/summaries/news-{topic-slug}-{date}.md" \
  "Last 30 days: {one-line key insight}" --model claude-sonnet-4-6

Checklist

[ ] Script found and ran successfully (or graceful error if not installed)
[ ] WebSearch supplement done
[ ] "What I learned" synthesis displayed to user
[ ] Stats block displayed (no 0-result lines)
[ ] wiki/summaries/news-*.md created with required frontmatter
[ ] [[wikilinks]] resolve to existing concepts
[ ] finalize-compile.sh run with --model flag

Gotchas

Script not found — The last30days-skill plugin must be installed via Claude Code marketplace. After installing, copy the scripts folder into this project:

cp -r ~/.claude/plugins/cache/last30days-skill/last30days/*/scripts skills/last30days/scripts

skills/last30days/scripts/ is gitignored (plugin license). If missing, the skill falls back to WebSearch only and still answers the question.

Interactive mode — last30days normally waits for a follow-up prompt. In this wiki-integrated mode, continue to Phase 4 before waiting for user input. After filing to wiki, then offer follow-up invitation.

News vs durable knowledge — A news event ("GPT-5 launched today") goes in wiki/summaries/. A structural insight ("OpenAI's release cadence has shifted to quarterly") goes in wiki/concepts/. Don't create a concept for every news item.

Available sources without extra API keys (default setup): Reddit, YouTube (via yt-dlp), Hacker News, Polymarket — these 4 work out of the box. X/Twitter requires AUTH_TOKEN+CT0 or XAI_API_KEY. TikTok/Instagram require SCRAPECREATORS_API_KEY. Run --diagnose to see current source availability. The skill still provides useful research with 4 sources — inform the user which sources were active.