Content
85%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Excellent operational content — executable commands, concrete discovery queries, a rigorous baseline/verify/regress workflow, and high-value pitfalls — held back only by monolithic packaging: the ~490-line file inlines topics that belong in one-level-deep reference files, with a small amount of repeated commands and warnings.
Suggestions
Move the browser-trace parsing guide (signal table plus Python reader) into references/browser-trace.md and the PerfObserver API section into references/perfobserver.md, leaving one-line pointers in SKILL.md so the overview stays lean.
Deduplicate the repeated bench invocation: state the canonical command once (e.g. in a 'Running the bench' section) and reference it from Step 1: Baseline and the Node CPU profiles section.
Merge the two statements of the 10K OOM warning ('WASM geometry adds memory pressure' and the comment on the large-fixture command block) into one place.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Nearly all content is non-obvious project knowledge (bench harness internals, trace-parsing recipes, the Immer scaling wall, `recording: "silent"` semantics) with no padding about concepts Claude already knows. Minor trimming opportunities exist: the bench run command appears three times ("The Benchmark System", "Step 1: Baseline", "Node CPU profiles") and the OOM-heap and "bench omits React" warnings are each stated twice. Anchor 4 rather than 5 because of that repeated material; not 3 because nothing is generic or over-explained. | 4 / 5 |
Actionability | Copy-paste-ready throughout: exact commands ("GRIDA_PERF=1 GRIDA_PERF_CPUPROFILE=1 pnpm vitest run editor/grida-canvas/__tests__/bench/perf-editor.test.ts", "NODE_OPTIONS=\"--max-old-space-size=8192\"", "--cpu-prof --cpu-prof-interval=100"), executable code for instrumentation (perf.start with try/finally, perf.measure) and a runnable Python trace parser, plus concrete grep discovery queries. A single hedge ("runAndTime() (or similar)") aside, the common cases are fully covered — anchor 5 rather than 4. | 5 / 5 |
Workflow Clarity | "The Verification Workflow" sequences Baseline → Implement → Measure → Regression check → Accept/iterate with explicit validation checkpoints (headless tests, "pnpm turbo typecheck --filter=editor", "Non-target operations within 10% of baseline") and an accept-criteria table. The tool-selection decision rules add an upfront decision workflow, and the regression step is a genuine feedback loop. Anchor 5: explicit validation steps, error-recovery guidance, and a checklist. | 5 / 5 |
Progressive Disclosure | In-file structure is good (clear headers, cross-references like "see 'Pick your measurement tool' above") and it correctly delegates volatile detail to repo files ("The bench README has the authoritative catalog — read it there") and to the sibling render-perf skill. However, no references/, scripts/, or assets/ bundle exists and the ~490-line body inlines whole topics that belong in separate files — the browser-trace parsing guide, the PerfObserver API reference, and the Node CPU profile section could each be a one-level-deep reference. That matches anchor 3 (content that should be separate is inline), not 4 (no bundle references exist at all), and not 2 (section structure and navigation are clear, not minimal). | 3 / 5 |
Total | 17 / 20 Passed |