# Resonance Engineering Performance

> 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.

- **Type:** Skill
- **Install:** `agentstack add skill-manusco-resonance-performance`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [manusco](https://agentstack.voostack.com/s/manusco)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [manusco](https://github.com/manusco)
- **Source:** https://github.com/manusco/resonance/tree/main/.agents/skills/engineering/performance

## Install

```sh
agentstack add skill-manusco-resonance-performance
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## 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/llm_finops_protocol.md)**: Token optimization, semantic caching, and model tiering.
- **[Bundle Analysis](references/bundle_analysis_protocol.md)**: Code size budget.
- **[Backend Performance](references/backend_performance_protocol.md)**: N+1, Memory, Caching.
- **[Core Web Vitals](references/core_web_vitals.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 / DONE_WITH_CONCERNS / 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.

- **Author:** [manusco](https://github.com/manusco)
- **Source:** [manusco/resonance](https://github.com/manusco/resonance)
- **License:** MIT

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-manusco-resonance-performance
- Seller: https://agentstack.voostack.com/s/manusco
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.