# Performance

> |

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

## Install

```sh
agentstack add skill-crewforth-crewforth-performance
```

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

## About

# Performance

Trigger phrases: "performance", "slow", "optimization", "profiling", "N+1", "latency", "memory leak", "leaked memory", "load test", "seconds to open", "seconds to respond", "anything slower", "make it slower"

Core rule: **measure first, optimize later.** Optimization without measurement is a guess; it usually speeds up the
wrong place and adds complexity. Stack-agnostic; do a web search when you need the profiling tool/library.

## Method (in order)
1. **Set a target** — what is "acceptable"? (p95 latency, throughput, memory ceiling). Numeric.
2. **Measure** — find the real bottleneck with a profiler/APM/benchmark; don't start from a guess.
3. **Fix the single most expensive thing** — Amdahl: speeding up a 5% path by 2x is wasted; target the hot path.
4. **Measure again** — did it actually improve, is there a regression.
5. **Stop** — once you hit the target, finish; no endless micro-optimization.

## Common bottlenecks

Catalog of common bottlenecks + fixes to consult: **`references/bottlenecks.md`**.

## Measurement tips
- Measure **under load** (a single request misleads); with a realistic data volume.
- **Not p50, but p95/p99** — tail latency is what burns the user.
- Don't trust micro-benchmarks; an end-to-end profile is more honest.

## Invariant rules
1. **Don't optimize without measuring** — a change without a profile = a guess.
2. **Target the hot path** — don't speed up the small share.
3. **Don't break correctness** — don't sacrifice behavior/edge cases for speed.
4. **Complexity budget** — make an optimization that seriously hurts readability only if there is a measured gain; comment it.
5. **Stop once you hit the target** — YAGNI; no premature/excessive optimization.

## Source & license

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

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

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-crewforth-crewforth-performance
- Seller: https://agentstack.voostack.com/s/crewforth
- Browse the marketplace: https://agentstack.voostack.com/browse

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