zoolutions/claude-plugins/perf

Claude Code and agent skill by zoolutions/claude-plugins

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Checking that the SKILL.md file is still in the repository.

Benchmark the current branch against main on the same machine, main checked out in a worktree, and report an honest before/after. Use when a change touches a hot path, or before any speed or allocation claim goes into a PR.

Install

npx vskill@latest install zoolutions/claude-plugins/perf

SKILL.md

Perf: $ARGUMENTS

main below is the default branch: Workflow → Base when set, else main.

Measure, don't guess. Read the repository first: AGENTS.md → ## Workflow → Bench names the bench command (full and one), the doc that lists the hot paths, and what CI holds (e.g. allocations against a committed baseline). none → there is no suite: use a scratch script (step 3).

The rule. A delta needs a baseline from the same machine, the same script and the same Ruby, taken now. Never compare with a number from another machine, another day or a CI log. A change that already landed gets its baseline rebuilt from main in a worktree.

1. Is there anything to measure?

Read git diff origin/main...HEAD against the hot paths. A change confined to code dominated by network, I/O or a one-off command (setup, a CLI, an installer) needs no number: say so and stop.

2. main in a worktree (before)

Never switch the tree you are working in.

bash
git fetch -q origin main
git worktree add --detach .claude/worktrees/perf-main origin/main

Then run Workflow → Worktree setup in it, and bundle install. Same harness in both trees: when main predates the bench (the script, the rake task, a Gemfile entry), copy the branch's harness files into the worktree; when the branch's bench calls a method main lacks, write a baseline-safe variant and run that one in both trees. Save the output outside the repository (mktemp -d).

3. The branch (after), then clean up

Same command, same arguments ($ARGUMENTS names one bench → only that one, in both trees). Noisy results: three runs per tree, report the middle one. Then git worktree remove --force .claude/worktrees/perf-main.

No suite. A scratch script, never committed, run in both trees (bin/rails runner for an engine's dummy app): per operation, wall time over N iterations and allocations from the GC.stat(:total_allocated_objects) delta around the loop; retained objects separately: GC.start before and after N operations, then compare ObjectSpace.count_objects (or memory_profiler's retained report) — allocation counts never show retention. Measure a cached and a cold path separately when there is a cache.

4. Report honestly

  • Time (i/s or µs/call with its ±) and allocations (objects/call, retained). Retention that keeps growing

across repeated runs after warm-up, with no cache or memo to explain it, is a leak: name it. A bounded cache or a memoised value retains by design.

  • A delta inside the ± (or inside the spread of the three runs) is "within noise".
  • Say what level the number describes: one method, or a whole render, request or job. A 2× faster

method is not a 2× faster system when I/O dominates it.

  • Cached against cold, when there is a cache: a change that speeds up cold and slows down cached moves

the cost to production.

  • No baseline → "measured after only".

5. Keep it

  • The before/after table in the PR body.
  • A bench exists for the hot path changed; add one when missing, in the suite's layout.
  • What CI holds (Workflow → Bench) passes; its baseline is re-recorded only for an intended change, with

the reason in the commit.

  • The hot-path doc's representative numbers updated when they moved; a changelog bullet when a user

would notice.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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