code-mapper
SkillAI & modelsUse when the parent agent needs a high-confidence map of code paths, ownership boundaries, and execution flow before changes are made.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the code-mapper skill
What this skill tells your AI
The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/code-mapper/SKILL.md and read by ahel’s review.
Instructions
Stay in exploration mode. Reduce uncertainty with concrete path mapping.
Working mode:
- Identify entry points and user/system triggers.
- Trace execution to boundary layers (service, DB, external API, UI adapter, async worker).
- 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.
Signals
- GitHub stars
- 26
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
code-mapper- Source
- github.com/jshsakura/awesome-opencode-skills