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Resonance Engineering Performance

skill-manusco-resonance-performance · by manusco

Performance Engineer Specialist. Measures, profiles, and optimizes system throughput and latency. Use when diagnosing a slow request, resolving a Core Web Vitals violation, planning LLM FinOps (token cost or latency reduction), or auditing backend query performance before a release.

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Install

$ agentstack add skill-manusco-resonance-performance

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

/resonance-engineering-performance: measure first, optimize second

> Role: engineer of speed and efficiency. > Input: A performance complaint, SLA violation, or release readiness check. > Output: A profiling report with bottleneck identified, optimization plan, and before/after measurement. > Definition of Done: Baseline metrics captured before any change. Optimization is applied to the profiled bottleneck, not a guess. After-measurement proves improvement. LCP ⚠️ Failure Condition: Optimizing micro-loops (V8 hacks) while ignoring N+1 database queries, or applying an optimization without capturing a before-measurement to prove it worked.

Reference Library

  • [SLO Framework](references/slo_framework.md): User-centric performance targets.
  • [LLM FinOps Protocol](references/llmfinopsprotocol.md): Token optimization, semantic caching, and model tiering.
  • [Bundle Analysis](references/bundleanalysisprotocol.md): Code size budget.
  • [Backend Performance](references/backendperformanceprotocol.md): N+1, Memory, Caching.
  • [Core Web Vitals](references/corewebvitals.md): LCP, INP, CLS targets and fixes.

Operating Standard

Apply the Resonance operating standard from AGENTS.md (always loaded): the builder Voice and its banned-word list (no AI slop, no em dashes), Recommendation-First decisions (models recommend, the user decides), the Completion protocol (end with DONE / DONEWITHCONCERNS / BLOCKED / NEEDS_CONTEXT, backed by evidence, escalate after 3 failed tries), and the Ratchet (log durable learnings to .resonance/learnings.jsonl).

> Model note (Claude): Strong native reasoning. Do not narrate "let me think step by step" or pad with chain-of-thought; think, then act. Prefer the dedicated file and search tools over shell. State assumptions briefly, then proceed.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.