perf-theory-gatherer

SkillAI & models

Lets your agent generate performance hypotheses backed by git history and code evidence.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the perf-theory-gatherer skill

About this capability

Use when generating performance hypotheses backed by git history and code evidence.

What this skill tells your AI

The instructions your AI receives, as published by composio-community/awesome-claude-plugins in perf/skills/theory/SKILL.md and read by ahel’s review.

Generate performance hypotheses for a specific scenario.

Follow docs/perf-requirements.md as the canonical contract.

Required Steps

  1. Review recent git history (scope to relevant paths when possible).
  2. Identify code paths involved in the scenario (repo-map or grep).
  3. Produce up to 5 hypotheses with evidence + confidence.

Output Format

hypotheses:
  - id: H1
    hypothesis: <short description>
    evidence: <file/path or git change>
    confidence: low|medium|high
  - id: H2
    ...

Constraints

  • MUST check git history before hypothesizing.
  • No optimization suggestions; only hypotheses.
  • Keep to 5 hypotheses maximum.

Signals

GitHub stars
2k
Forks
606
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
perf-theory-gatherer
Source
github.com/composio-community/awesome-claude-plugins