Last30Days-Skill: AI Agent Search Engine That Scores Social Media by Real Engagement #

TL;DR — Last30Days-Skill is an AI agent skill that searches Reddit, X/Twitter, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, Bluesky, and the broader web in parallel, then scores every result by real engagement — upvotes, likes, views, and even real-money betting odds. The synthesized output is a research brief grounded in what people actually care about, not what editors or SEO algorithms promote. Install in one command across 50+ AI agent hosts.

What Is Last30Days-Skill? #

Google aggregates editors. Last30Days searches people.

Every major social platform is a walled garden with its own API, its own tokens, its own authentication. No single AI has access to all of them. Google search doesn’t touch Reddit comments or X posts. ChatGPT has a deal with Reddit but can’t search X or TikTok. Gemini has YouTube but not Reddit. Claude has none of them natively.

Last30Days-Skill bridges all of these disconnected platforms through an AI agent that searches them in parallel, scores results by engagement, and synthesizes everything into one brief.

Type /last30days Peter Steinberger and get a research report covering: his OpenAI Codex team activities, GitHub PR velocity, r/ClaudeCode debate threads with 569 upvotes, X posts, YouTube transcripts, and Polymarket odds — all sourced from the last 30 days, ranked by what real people engaged with.

GitHub: mvanhorn/last30days-skill · Stars: 45,446+ · License: MIT · Language: Python

Data Sources #

Last30Days-Skill searches 14+ platforms in parallel:

Reddit threads with 1,500 upvotes are a stronger signal than a blog post nobody read. A TikTok with 3.6M views tells you more about cultural relevance than a press release. Polymarket odds backed by $66K in volume are harder to argue with than a pundit’s guess.

What People Use It For #

Before a Meeting #

/last30days Peter Steinberger

Discovers: joined OpenAI’s Codex team, fighting Anthropic’s ban on third-party agents, 23 PRs merged at 85% merge rate on GitHub, building LobsterOS for cross-device agent control. r/ClaudeCode debate thread with 227 upvotes. None of this is on LinkedIn.

Hiring Signal Detection #

/last30days Listen Labs --hiring-signals

Current jobs and careers pages become cited evidence for focus shifts: hiring into enterprise security, customer success, infrastructure, or product expansion. The report says what the hiring appears to signal, not what the roadmap will ship.

Breaking News Analysis #

/last30days Kanye West

UK blocked his visa, Wireless Festival canceled, sponsors fled. But BULLY debuted #2 on Billboard. Fantano reviewed it (653K views). SoFi Homecoming brought out Lauryn Hill and Travis Scott for 44 songs. Polymarket: “Will Kanye tweet again?” 86% Yes. 23 Reddit threads, 17 YouTube videos, 86K upvotes.

Tool Comparisons #

/last30days OpenClaw vs Hermes vs Paperclip

“These aren’t competitors, they’re layers.” OpenClaw is the executor (351K GitHub stars), Hermes is the self-improving brain (31K stars), Paperclip is the org chart (49K stars). Star counts pulled live from the GitHub API, not stale blog posts. Side-by-side comparison table with architecture, memory, security, best-for.

Understanding Global Events #

/last30days Iran vs USA

Day 38 of the conflict. Trump’s Tuesday deadline for Iran to reopen the Strait of Hormuz. Two US warplanes downed. Oil at $126/barrel. The IEA called it “the largest supply disruption in the history of the global oil market.” Polymarket: ceasefire by Dec 31 at 74%. 27 X posts, 10 YouTube videos, 20 prediction markets.

Trip Planning #

/last30days Universal Epic Universe

Expansion already under construction. “Project 680” permit filed. Fireworks show confirmed by infrastructure but unannounced. Wait times: Mine-Cart Madness averaging 148 minutes. No annual pass yet, and locals are frustrated. Stardust Racers down for refurbishment through April 5.

Rapid Learning #

/last30days Nano Banana Pro prompting

JSON-structured prompts are replacing tag soup. Nested formats prevent “concept bleeding.” Edit-first workflow beats regeneration. The skill then writes you a production prompt using exactly what the community said works.

v3 Engine Features #

The v3 engine introduced several major improvements:

Shareable HTML Briefs #

Generate dark-mode, print-friendly HTML briefs you can drop into Slack, email, or Notion:

/last30days OpenClaw --emit=html

Or just ask in plain language:

/last30days Cursor IDE for slack
/last30days Anthropic earnings export as html

The skill saves a self-contained HTML file to ~/Documents/Last30Days/{topic}-brief.html with inline CSS, system-font fallbacks behind Inter and JetBrains Mono, no JavaScript, works offline.

Intelligent Topic Resolution #

The v3 engine doesn’t just search for your topic — it figures out where to search first. Type “OpenClaw” and the engine resolves:

• @steipete (Peter Steinberger, creator)
• r/openclaw subreddit
• r/ClaudeCode community
• Right YouTube channels and TikTok hashtags

All via a Python pre-research brain built by @j-sperling. Bidirectional resolution: person to company, product to founder, name to GitHub profile.

Best Takes Judge #

A second scoring judge rates every result for humor, wit, and virality alongside relevance. Tommy Lloyd’s “My Michael Jordan is Steve Kerr” scores low on relevance to “Arizona Basketball” but off the charts on fun. Every brief ends with a “Best Takes” section featuring the cleverest one-liners and most viral quotes.

Cross-Source Cluster Merging #

When the same story appears on Reddit, X, and YouTube, v3 merges them into one cluster instead of showing three separate items. Entity-based overlap detection catches matches even when titles use different words.

Single-Pass Comparisons #

“CLI vs MCP” used to run three serial passes (12+ minutes). v3 runs one pass with entity-aware subqueries for both sides simultaneously. Same depth, 3 minutes.

Auto-Discovered Competitor Comparisons #

/last30days OpenAI --competitors

Tells the hosting reasoning model to discover the top 2 peers via WebSearch (Anthropic, xAI), run research per entity, and invoke the engine with "OpenAI vs Anthropic vs xAI". The engine fans out 3 full pipelines in parallel and merges them into a 3-way comparison.

GitHub Person-Mode #

When the topic is a person, the engine switches from keyword search to author-scoped queries:

/last30days Peter Steinberger --github-user=steipete

Shows 22 PRs merged across 3 repos at 85% merge rate. Own projects with README summaries, star counts, and top feature requests. Release notes for what shipped this month.

ELI5 Mode #

Say “eli5 on” after any research run. The synthesis rewrites in plain language. No jargon. Same data, same sources, same citations — just clearer. “Arizona wins by being physical” instead of “Arizona’s identity is paint scoring (50%+ shooting, 9th nationally).” Say “eli5 off” to go back.

Installation #

Last30Days-Skill installs across 50+ AI agent hosts:

Claude Code (Recommended) #

/plugin marketplace add mvanhorn/last30days-skill

The marketplace handles updates automatically. Run claude plugin update last30days@last30days-skill to force a check.

Agent Skills Hosts (50+) #

npx skills add mvanhorn/last30days-skill -g

The -g flag installs globally for your user, available across all projects. Supports Codex, Cursor, Copilot, Gemini CLI, Windsurf, Cline, Continue, Roo, Aider-Desk, OpenCode, Goose, and more.

Target specific hosts:

npx skills add mvanhorn/last30days-skill -g -a codex
npx skills add mvanhorn/last30days-skill -g -a cursor
npx skills add mvanhorn/last30days-skill -g -a gemini-cli

Claude Desktop (MCP Bundle) #

1. Download the .mcpb for your platform from Latest Release
2. Open Claude Desktop → Settings → Extensions → drag the file in
3. Paste API keys for sources you want to enable (every field is optional)
4. Restart Claude Desktop

Requires Python 3.12+ on PATH.

Manual Installation (Developer) #

git clone https://github.com/mvanhorn/last30days-skill.git
ln -s "$(pwd)/last30days-skill/skills/last30days" ~/.claude/skills/last30days

The symlink keeps the install in sync with your working tree as you edit.

How It Works #

1. You type a topic. Person, company, product, technology, “X vs Y.” Anything.
2. The agent resolves who matters. Finds X handles (including founders), GitHub repos, subreddits, TikTok hashtags, YouTube channels. For “Kanye West” it knows r/hiphopheads, @kanyewest, and “bully review” on YouTube. For “OpenClaw” it resolves openclaw/openclaw on GitHub and fetches live star counts.
3. All sources searched in parallel. Multi-query expansion. Results scored by engagement, relevance, freshness.
4. The depth nobody else has. Full YouTube transcripts from reaction videos. Top Reddit comments with upvote counts. TikTok captions. Polymarket odds. Not just titles and links.
5. Same story, merged. Wireless Festival announced on Reddit, discussed on X, ticket prices on TikTok = one cluster, not three separate items.
6. Synthesized into one brief. Grounded in specific data. Cited by source. Ranked by what people actually engage with.
7. Then it becomes your expert. After one run, your Claude session knows everything the community knows. Ask follow-up questions. Have it write prompts, draft emails, plan trips, architect systems — all grounded in what’s real right now.

Configuration #

Research File Storage #

Files save to ~/Documents/Last30Days/ by default. Override with:

export LAST30DAYS_MEMORY_DIR=/path/to/dir
# Or per-run:
/last30days topic --save-dir /custom/path

Trend Monitoring Across Runs #

For accumulating findings over time:

/last30days topic --store

Persists into a SQLite database. Use included scripts for scheduled runs:

• scripts/watchlist.py — scheduled runs with optional Slack/webhook delivery on new findings
• scripts/briefing.py — daily/weekly digest generation

Full configuration documented in CONFIGURATION.md.

API Keys #

Reddit, Hacker News, Polymarket, and GitHub work immediately with zero configuration. Run /last30days once and the setup wizard unlocks more sources in 30 seconds.

macOS Keychain Integration #

Store keys in the system keychain instead of .env files:

# Interactive setup
skills/last30days/scripts/setup-keychain.sh

# Or store a single key by hand
security add-generic-password -a "$USER" -s last30days-XAI_API_KEY -w "xai-..."

# Inspect / clean up
skills/last30days/scripts/setup-keychain.sh --list
skills/last30days/scripts/setup-keychain.sh --delete XAI_API_KEY

Items stored under service name last30days-<KEY> for the current user. Non-Darwin platforms: loader is a no-op.

Performance and Scale #

• 1,012 tests passing in the test suite
• Parallel search across 14+ platforms simultaneously
• Entity-based clustering reduces duplicate stories by 60-80%
• Configurable retention — search files persist for trend tracking
• Zero tracking, zero analytics — your research stays on your machine

Who Should Use Last30Days-Skill? #

• AI developers who need to stay current with rapidly changing tool landscapes
• Product managers researching competitor activity and user sentiment
• Journalists gathering community reactions and expert opinions
• Investors monitoring hiring signals and market sentiment
• Content creators discovering trending topics and community debates
• Anyone who needs to understand what people are actually talking about right now

Alternatives Compared #

Getting Started Checklist #

1. Install via your agent host (npx skills add mvanhorn/last30days-skill -g for most)
2. Run your first search: /last30days your-topic
3. Reddit, HN, Polymarket, and GitHub work immediately — zero config
4. Set up additional API keys for X, YouTube, TikTok via the setup wizard
5. Try --emit=html for shareable briefs
6. Enable --store for trend monitoring across runs
7. Use eli5 on for plain-language summaries
8. Explore --competitors for auto-discovered comparison research

Frequently Asked Questions #

Q: Do I need API keys for all platforms? #

No. Reddit (with comments), Hacker News, Polymarket, and GitHub work immediately with zero configuration. X requires browser cookies or an API key. YouTube requires yt-dlp. Other platforms are optional and unlockable via the setup wizard.

Q: How is this different from just Googling? #

Google returns editorial content ranked by SEO. Last30Days searches what real people are engaging with — Reddit upvotes, X likes, YouTube views, TikTok shares, and even real-money Polymarket bets. A Reddit thread with 1,500 upvotes is a stronger signal than a blog post. A TikTok with 3.6M views tells you more about cultural relevance than a press release.

Q: Can I use this for business research? #

Absolutely. Use --hiring-signals to detect focus shifts from job postings. Run --competitors to auto-discover and compare rival products. Track GitHub PR velocity and release notes for technical companies. The HTML brief output makes it easy to share research with your team.

Q: Does it work with AI agents other than Claude? #

Yes. Last30Days installs via the open Agent Skills CLI and supports 50+ harnesses including Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, Continue, Roo, and OpenClaw. The skill is platform-agnostic.

Q: Is my research data stored anywhere? #

No. All research stays on your local machine. The skill has zero tracking and zero analytics. Files save to your configured LAST30DAYS_MEMORY_DIR (default: ~/Documents/Last30Days/). You control retention.

Q: What about the --store feature? #

--store persists search results into a local SQLite database for trend monitoring across runs. Combined with scripts/watchlist.py for scheduled runs and scripts/briefing.py for daily/weekly digests, you can build automated research workflows.

Sources #

• Last30Days-Skill on GitHub
• Agent Skills Registry
• Configuration Documentation
• Changelog

Ready to search what people actually care about? Install Last30Days-Skill in under 30 seconds across 50+ AI agent hosts.

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