Agent skill

codebase-research

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

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/rpikit/skills/codebase-research

SKILL.md

Codebase Research

Overview

Perform systematic codebase exploration to understand how existing systems work. Follows the Iron Law: "Do NOT explore the codebase until the problem is understood."

When to Use

  • Implementation direction is clear but codebase understanding is needed
  • 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

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results