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Config Improvement

config-improvement

Propose improvements to upstream RAE repository

SKILL.md

Full skill instructions

Overview

When you discover a better pattern, configuration, or guideline during work, this skill guides you through proposing it upstream to the Reproducible Agent Environment repository.

Parameters

  • improvement_type (optional): "guideline", "skill", "sop", "config", or "template"
  • description (required): Brief description of the improvement

Steps

1. Evaluate Scope

Determine if the improvement is universal or project-specific.

Constraints:

  • You MUST verify the improvement works in the current project
  • You MUST check if a similar pattern already exists upstream
  • You SHOULD consider if the improvement applies broadly or only to specific domains

Decision:

  • IF universal → Proceed to step 2
  • IF project-specific → Add to local overrides with comment explaining why, then STOP

2. Document the Improvement

Prepare a clear description of the change.

Constraints:

  • You MUST include before/​after examples
  • You MUST explain the rationale (why is this better?)
  • You SHOULD reference any research or sources that informed the improvement
  • You MUST specify which file(s) would be modified

3. Create Upstream PR

Constraints:

  • You MUST create a branch with descriptive name (e.g., improve/​ruff-config, guideline/​async-patterns)
  • You MUST write a clear commit message explaining the improvement
  • You SHOULD include test cases or examples if applicable
  • You MUST open PR with the documented rationale

4. Update Local

After PR is merged:

  • Run scripts/​sync.sh to pull the improvement
  • Verify it works correctly in your project

Examples

User: "I found a better ruff configuration for catching common issues" Agent: Evaluates if it's universal (yes), documents the change with before/​after examples, creates PR to update templates/​pyproject.toml.

User: "/​config-improvement guideline 'Add guidance on async/​await patterns'" Agent: Checks if async guidance exists (no), drafts new section for python-standards.md, creates PR with examples.

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