The body is substantive and free of basic-concept padding, but the sibling-function guidance is restated across step 3, step 4, and the verify checklist, so it could be tightened. Not a 3 because some repetition remains.

It gives concrete commands ('npx convex insights --details', 'npx -y convex@latest insights --details'), specific APIs to trace (ctx.db.get/query/patch/replace/insert, useQuery/usePaginatedQuery/useMutation), a symptom-to-reference routing table, and a copy-ready verification checklist.

A clearly sequenced 5-step workflow ends with an explicit 'Verify before finishing' checklist, and 'Escalate Larger Fixes' adds a stop-and-confirm checkpoint before invasive changes, covering the feedback loop for risky operations.

SKILL.md is a concise overview with a signal-routing table and a Reference Files section pointing one level deep to four real, verified reference files (hot-path-rules, occ-conflicts, subscription-cost, function-budget), each with a one-line description.

It names the domain (Convex performance) and several concrete audit targets ('reads, subscriptions, write contention, and function limits') but relies on a single verb ('Audits') rather than listing multiple distinct actions like the 3-anchor examples do.

Both halves are explicit: what ('Audits Convex performance for reads, subscriptions, write contention, and function limits') and when ('Use for slow features, insights findings, OCC conflicts, or read amplification').

It offers relevant triggers ('slow features', 'OCC conflicts') but mixes in jargon-heavy terms ('insights findings', 'read amplification') that less technical users may not naturally say, missing common phrasings.

The Convex-performance niche with its specific triggers (OCC conflicts, read amplification, subscription cost) is clearly distinct and unlikely to fire for unrelated skills.