# Coordinator Perf Multiagent

> Use when the coordinator runs a PARALLEL multi-agent performance-recovery campaign on decimal-scaled — recovering many benched (bench-branch-compare) regressions at once by partitioning the work across worktree agents, one per policy/function area, with CPU-core-pinned concurrent microbenching. Covers the disjoint partition, int-tier-first holistic ordering, the core-pin scheme to keep concurrent benches under load, the per-agent loadout, and the coordinator's review→gate→merge→push→bbc→refresh-table loop. Builds on subagent-dispatch (per-agent rules), algorithim-optimiser (kernels), architectural-review (compliance), hunters (research lenses).

## Facts
- Page: https://tashan.sh/capability/skill-mootable-coordinator-perf-multiagent
- tashan id: skill:mootable/coordinator-perf-multiagent
- Source: https://github.com/mootable/decimal-scaled
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 98.0
- Freshness: 95.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: NOASSERTION
- Official: no

## Install

```sh
cp -r coordinator-perf-multiagent ~/.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 2026-08-09 by tashan (https://tashan.sh) from public evidence. Scorer s5.