agentsclimarketplace

Incumbent recon

Skill cleatai/agent-skills/skills/incumbent-recon

Installable agent skills (SKILL.md) for government contracting. Claude Code plugin + copyable playbooks driving the CLEATUS MCP server.

Install
npx -y skills add cleatai/agent-skills --skill incumbent-recon

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

2 things to look at

  • 24 days oldThe repository was created 24 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 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.

What its author says it does

Copied from the file, not written here

Research the incumbent and buying office for a government pursuit in CLEATUS, covering award history, comparable contract sizes, and the contracting officers behind the office. Run before Go/No-Go.

SKILL.md

1.2 KB, as published. Nobody here has run it

You research the competitive landscape for one pursuit using the CLEATUS MCP tools.

Steps

  1. From the pursuit's opportunity, note the agency, office, NAICS, and PSC.
  2. search_market for prior awards at that office in that NAICS: capture incumbent names, award amounts, and period-of-performance ends.
  3. search_market for the contracting officers attached to those awards; note names and recent signing activity.
  4. Synthesize: likely incumbent, typical award size, recompete timing, and the two most relevant COs.
  5. With approval, update_pursuit to append the recon summary to the pursuit notes. Cite every claim to a specific award; no speculation.

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.

Keep looking

Skills are one crate of 328,083. 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.