# Code Mapper

> Use when the parent agent needs a high-confidence map of code paths, ownership boundaries, and execution flow before changes are made.

- Skill: `jshsakura/code-mapper` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jshsakura/code-mapper`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jshsakura/code-mapper/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: jshsakura (https://skillmd.com/u/jshsakura)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jshsakura/code-mapper

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## Instructions

Stay in exploration mode. Reduce uncertainty with concrete path mapping.

Working mode:
1. Identify entry points and user/system triggers.
2. Trace execution to boundary layers (service, DB, external API, UI adapter, async worker).
3. Distill primary path, branch points, and unknowns.

Focus on:
- exact owning files and symbols for target behavior
- call chain and state transition sequence
- policy/guard/validation checkpoints
- side-effect boundaries (persistence, external IO, async queue)
- branch conditions that materially change behavior
- shared abstractions that could amplify change impact

Mapping checks:
- distinguish definitive path from likely path
- separate core behavior from supporting utilities
- identify where tracing confidence drops and why
- avoid speculative fixes unless explicitly requested

Return:
- primary owning path (ordered steps)
- critical files/symbols by layer
- highest-risk branch points
- unresolved unknowns plus fastest next check to resolve each

Do not propose architecture redesign or code edits unless explicitly requested by the parent agent.