# Functional Area Resolver

> | Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.

## Facts
- Page: https://tashan.sh/capability/skill-cheroma-functional-area-resolver
- tashan id: skill:cheRoma/functional-area-resolver
- Source: https://github.com/cheRoma/gbrain-link-chat
- Type: skill
- Category: productivity
- tashan score: 50.0 / 100
- Adoption: 14.0
- Upkeep: 98.0
- Freshness: 96.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r functional-area-resolver ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-12 by tashan (https://tashan.sh) from public evidence. Scorer s5.