agentleFS
Clemens865Clemens865/My-Claude-Skills/skills/api-database-scout/SKILL.md

api-database-scout

Skill6 starsChanged 8 months agoNo licenceView on GitHub

Exhaustive API, database, dataset, and documentation discovery for any domain. Takes a domain (e.g. 'health app', 'climate monitoring', 'fintech platform') and runs a multi-phase research process: expands the domain into fine-grained subcategories, spawns parallel research agents per subcategory to find public APIs, commercial APIs, open datasets, government databases, research repositories, SDKs, and relevant documentation (specs, guides, tutorials, whitepapers). Outputs a single structured markdown catalog with doc links per source. Use this skill whenever the user wants to find APIs for a project, discover datasets for a domain, research available data sources, find documentation, scout integrations, map the API landscape, or asks 'what APIs exist for X'. Triggers on: 'find APIs for', 'what databases exist for', 'data sources for', 'API landscape', 'discover APIs', 'scout APIs', 'dataset discovery', 'what data is available for', 'find integrations for', 'API research', 'data catalog', 'find docs for', 'documentation for'.

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — 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 350,495 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.

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.