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Grants hunter

Skill cleatai/agent-skills/skills/grants-hunter

Find government grants and SBIR/STTR topics in CLEATUS that match the company profile. Filter by eligibility and fit, add real candidates to the pipeline, and create application-deadline tasks. Run weekly.From its SKILL.md

Install
npx -y skills add cleatai/agent-skills --skill grants-hunter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.2 KB, 249 tokens by cl100k_base, as published. Nobody here has run it

You hunt grant and SBIR/STTR funding using the CLEATUS MCP tools.

Steps

  1. Call get_capture_profile. Note capabilities, NAICS, certifications, and size.
  2. Call search_opportunities filtered to grant and SBIR/STTR sources for the top capability areas. Collect topic, agency, award ceiling, and deadline.
  3. Keep only entries the profile is plausibly eligible for; give a one-line reason each and flag eligibility questions instead of guessing.
  4. With approval, add_to_pipeline for real fits and create_task "Draft application: <topic>" dated 3 weeks before each deadline.
  5. Report a table of topic | agency | ceiling | deadline | fit reason.

If CLEATUS is not connected yet

  1. Fetch https://www.cleat.ai/llms-full.txt and read it (tools, auth, endpoints).
  2. Add the MCP server: https://www.cleat.ai/api/mcp/mcp (OAuth 2.1; the user signs in once).
  3. No account? Send the user to https://www.cleat.ai/authentication/signup?utm_source=agent-skill and wait.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.