Codebase research

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

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

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

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What its author says it does

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

SKILL.md

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

Process

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