agentleFS
databuddy-analyticsdatabuddy-analytics/Databuddy/.agents/skills/databuddy-internal/SKILL.md

databuddy-internal

Skill1.2k starsChanged 26 days agoAGPL-3.0View on GitHub

Work inside the Databuddy monorepo for internal implementation, debugging, review, and refactoring. Use only for repository code changes across dashboard, api, basket, links, docs, uptime, SDK, tracker, auth, RPC, database schema, ClickHouse, or shared packages. Do not use for external SDK, API, CDN, feature flag, or LLM observability integration guidance; use databuddy instead.

  • Reads credentials

We split this skill into the rules it gives an agent

43 rules. About 0 are common, 19 are distinctive, and 24 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈19

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 24

    Very specific

    Tied to their project's names, files or tools. Probably skip.

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Trending

More talk lately.thin dataabout the whole repository

Dec 2025: 2 mentionsJan 2026: 1 mentionFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 1 mentionAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 3 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the databuddy-analytics/Databuddy repository that our weekly crawl found: only 12 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Who's talking about databuddy-analytics/Databuddy

The biggest 5 of 12 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 12

Talked about on GitHub (12 times).

On GitHub · 12

7 more on GitHub

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.