agentleFS
InternLMInternLM/WildClawBench/skills/2/geepers-data/SKILL.md

geepers-data

Skill534 starsChanged 6 months agoMITView on GitHub

Fetch structured data from 17 authoritative APIs — arXiv, Census Bureau, GitHub, NASA, Wikipedia, PubMed, news, weather, finance, FEC, and more — through a single endpoint. Use when you need real data from authoritative sources for research, visualizations, or analysis.

  • Reads credentials

The file

Files
SKILL.md

Dreamer Data

Access 17 structured data sources through https://api.dr.eamer.dev.

Authentication

export DREAMER_API_KEY=your_key_here

Endpoints

List Available Sources

GET https://api.dr.eamer.dev/v1/data

Search Across Sources

POST https://api.dr.eamer.dev/v1/data/search
Body:
{
  "source": "arxiv",
  "query": "machine learning interpretability",
  "limit": 10
}

Available Sources

SourceIDWhat it provides
arXivarxivAcademic papers
Census BureaucensusUS demographic data
GitHubgithubCode repositories, issues, users
NASAnasaSpace data, images, astronomy
WikipediawikipediaEncyclopedia articles
PubMedpubmedBiomedical literature
NewsnewsCurrent events from 80+ outlets
WeatherweatherCurrent and forecast weather
FinancefinanceStock prices and market data
FECfecFederal campaign finance
OpenLibraryopenlibraryBooks and library records
Semantic Scholarsemantic_scholarAcademic citation graphs
YouTubeyoutubeVideo metadata
Wolfram AlphawolframComputational knowledge
Wayback MachinearchiveWeb archive snapshots
JudiciaryjudiciaryUS court records
MALmalAnime and manga data

When to Use

  • Research that needs verified, citable data
  • Building data pipelines from authoritative sources
  • Enriching existing datasets with external context

Don't Use When

  • The source you need isn't in the list (check /v1/data first)
  • You have direct API access to the source with higher rate limits

Download now (ZIP)

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.