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Perf Theory Gatherer

  • 63 installs
  • 931 repo stars
  • Updated July 26, 2026
  • avifenesh/agentsys

perf-theory-gatherer is a skill that generates git-history-backed performance hypotheses for a specific scenario.

About

perf-theory-gatherer generates performance hypotheses for a specific scenario by reviewing recent git history and identifying the code paths involved. A developer uses it during performance work to produce up to five evidence-backed hypotheses before running any experiments. It only proposes theories and never suggests optimizations, keeping diagnosis separate from fixes.

  • Generates up to 5 performance hypotheses tied to git history and code paths
  • Each hypothesis carries evidence (file/path or git change) and a low/medium/high confidence
  • Hypotheses only, no optimization suggestions

Perf Theory Gatherer by the numbers

  • 63 all-time installs (skills.sh)
  • Ranked #284 of 596 Debugging skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

perf-theory-gatherer capabilities & compatibility

Capabilities
perf hypothesis · git history analysis · code path analysis
Use cases
debugging
Pricing
Free
From the docs

What perf-theory-gatherer says it does

Generate performance hypotheses for a specific scenario.
SKILL.md
MUST check git history before hypothesizing.
SKILL.md
No optimization suggestions; only hypotheses.
SKILL.md
npx skills add https://github.com/avifenesh/agentsys --skill perf-theory-gatherer

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Listed on Skillselion
Installs63
repo stars931
Last updatedJuly 26, 2026
Repositoryavifenesh/agentsys

What it does

Produce evidence-backed performance hypotheses for a slow scenario before running perf experiments.

Who is it for?

Diagnosing a slow scenario by forming evidence-linked hypotheses before testing.

Skip if: Applying optimizations or running the perf experiments themselves.

When should I use this skill?

When generating performance hypotheses backed by git history and code evidence.

What you get

A ranked list of up to 5 performance hypotheses, each with evidence and a confidence level.

  • performance hypotheses with evidence and confidence

By the numbers

  • up to 5 hypotheses maximum
  • 3 required steps

Files

SKILL.mdMarkdownGitHub ↗

perf-theory-gatherer

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-intel 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.

Related skills

Debuggingbackendgit

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