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prepare-codebase-for-recursive-optimization

Prepare a repository for controlled recursive optimization by defining goals, agent guidance, policies, evaluations, resources, and protected surfaces.

Skill by closedloop-technologies

IndexedMIT★ 7
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/closedloop-technologies-prepare-codebase-for-recursive-optimization

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Prepare a repository for controlled recursive optimization by defining goals, agent guidance, policies, evaluations, resources, and protected surfaces. Use when a codebase lacks ClimbHill support files.

Use cases: agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/prepare-codebase-for-recursive-optimization

What's inside

Skill name
prepare-codebase-for-recursive-optimization
Description
Prepare a repository for controlled recursive optimization by defining goals, agent guidance, policies, evaluations, resources, and protected surfaces. Use when a codebase lacks ClimbHill support files.
License
MIT
Instructions
38 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Prepare a Codebase for Recursive Optimization

Use this skill when a repository needs enough structure for coding agents to improve it safely over repeated loops.

## Inputs

- Repository path
- User goal or repo mission
- Existing agent instructions
- Available install, lint, typecheck, test, and build commands

## Procedure

1. Inspect the repository tree, README, package metadata, tests, CI, and existing agent guidance.
2. Identify the repo goal, public API, protected surfaces, test strategy, and deployment path.
3. Check whether these files exist: `goal.md`, `AGENTS.md`, `README.md`, `docs/architecture.md` or `ARCHITECTURE.md`, `TESTING.md`, `EVALS.md`, `.climbhill/policy.yaml`, `.climbhill/eval.yaml`, `.agent/skills/`, and `resources/`.
4. Propose missing repository support files before creating them.
5. Avoid overwriting existing files unless the human explicitly approves.
6. Write conservative policy defaults: protect tests, evals, CI, migrations, infra, lockfiles, and security-sensitive paths.
7. Record assumptions and unknowns in the preparedness report.

## Outputs

- Preparedness gap summary
- Created or proposed repository support files
- Known commands
- Protected surfaces
- Follow-up issues or questions

## Rubric

- The repo goal is explicit.
- Edit boundaries are machine-readable.
- Test and evaluation commands are recorded.
- Human approval surfaces are clear.
- Existing guidance is preserved.

From closedloop-technologies/climbhill, MIT.

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Signals

Stars
7
Forks
0
Open issues
1
Last commit (this folder)
Aug 20, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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prepare-codebase-for-recursive-optimization skill. Agent Mart. https://agentmart.dev/skills/closedloop-technologies-prepare-codebase-for-recursive-optimization (last updated 2026-10-24)