last30flames

Works in any agent harness that supports skills.

Inspired by last30days by Matt Van Horn.

It gathers five signals in parallel and hands them to the agent to write a short, source-grounded brief:

• Firecrawl Search - web results scraped into full-page markdown, not snippets.
• Hacker News (public Algolia API) - points + comment counts.
• Lobste.rs (public JSON feeds) - points + comment counts.
• Bluesky (public AT Protocol API) - likes + reposts + replies.
• GitHub (official API) - stars + recent push activity.

Engagement numbers come only from APIs that publish them openly. The skill never touches Reddit, X, TikTok, Instagram, or anything behind a login or cookie.

Design principles

• Small enough to read. The engine is a handful of small TypeScript files with zero runtime dependencies. You can audit everything it runs on your machine in five minutes.
• Keyless. Works out of the box. Keys only raise rate limits, never unlock features.
• Only open, permitted sources. Firecrawl search of the public web, plus the official Hacker News, Lobste.rs, Bluesky, and GitHub APIs. Nothing behind a login, and nothing that violates a platform's terms of service.
• No LLM in the engine. It only gathers and prints sources; your agent does the synthesis. No second model, no extra bill.

Install

Works in any agent harness that supports skills. It only needs the bun binary - no API key required.

Recommended - via skills.sh, which installs into whichever harness you use:

npx skills add firecrawl/last30flames

In Claude Code you can alternatively install through the plugin marketplace:

/plugin marketplace add firecrawl/last30flames
/plugin install last30flames

In any other harness, point it at this repo's skills/last30flames/SKILL.md (or copy that folder into the harness's skills directory). The engine is launched through skills/last30flames/scripts/run.sh, which self-locates and installs deps on first run - no harness-specific environment variables required.

Keys are optional - it runs keyless. Set either only to raise rate limits:

export FIRECRAWL_API_KEY=fc-...   # higher Firecrawl limits + concurrency
export GITHUB_TOKEN=ghp_...       # higher GitHub rate limit

Starting keyless, adding a key later

Nothing to reinstall or reconfigure. The Firecrawl CLI checks for a key on every run, so the moment one is present it uses it:

export FIRECRAWL_API_KEY=fc-...   # or run: firecrawl login

Next run is automatically authenticated (higher limits, more concurrency). Confirm with firecrawl --status. Remove the variable (or firecrawl logout) to go back to the keyless free tier. Same binary, same skill - only the rate limits change.

Use

/last30flames AI coding agents
/last30flames local LLM inference --days 7

--days sets the recency window (default 30). Any number works - 7, 30, 365.

Ambiguous topics

For topics that could mean more than one thing (a person's name, "Apple", "Cursor"), the skill first runs a cheap resolution pass - a snippet-only Firecrawl search plus GitHub user/repo candidate lookups - then re-searches with 2-4 refined subqueries and, for people and projects, scopes GitHub to the matching login or repo. The engine only gathers candidates; the agent does the disambiguating. Direct flags: --query (repeatable), --github-user, --github-repo owner/name, and --resolve for the candidate pass.

Save and reuse research

Ask the skill to save a run, and it writes the raw research context to a thread folder under ~/.last30flames/ (findable from any later session):

/last30flames AI coding agents, save this to my ai-agents research

Related calls in the same session land in the same thread. In a later session, reload it without re-scraping:

/last30flames load my ai-agents research
/last30flames using my saved ai-agents research, what did I find on local inference?

If a saved context is older than its recency window, the skill warns you it's stale and offers to re-run fresh.

Shareable HTML brief

Ask for a shareable version and the skill writes the brief as a self-contained dark-mode HTML file (inline CSS, no JavaScript, works offline) that drops cleanly into Slack, email, or Notion:

/last30flames AI coding agents, give me a shareable HTML brief

Inline [N] citations become clickable jumps to the sources list. The file is saved in the same thread folder under ~/.last30flames/ and the skill reports the path.

Run the engine directly

The engine is a tiny Bun + TypeScript project under skills/last30flames: