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Codebase research

Skill a5c-ai/babysitter/library/methodologies/rpikit/skills/codebase-research

Systematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.From its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill codebase-research

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

SKILL.md

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

  • Investigating how an existing feature works before modifying it
  • Understanding dependencies and data flows before planning
  • Gathering context for a known goal

Process

  1. Understand the request - Ask clarifying questions one at a time (purpose, specifics, scope, constraints, context). Do NOT read any files until confirmed.
  2. Explore the codebase - Use file-finder agent, read in order, trace data flows, identify constraints.
  3. Document findings - Write structured research document to docs/plans/YYYY-MM-DD-<topic>-research.md.
  4. Transition - Ask: plan, continue research, or conclude.

Key Rules

  • Quotations from source material capped at 125 characters maximum
  • Only proceed to exploration after human confirms understanding
  • Use file-finder agent for initial file discovery
  • Use web-researcher agent for external context needs

Agents Used

  • agents/file-finder/ - Locates relevant files with suggested reading order
  • agents/web-researcher/ - Gathers external context when needed

Tool Use

Invoke via babysitter process: methodologies/rpikit/rpikit-research

What ships with it: 1 file

593 B alongside SKILL.md

Keep looking

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