# Performance Optimization

> >-

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

## Install

```sh
agentstack add skill-thiientv-godmode-performance-optimization
```

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

## About

# Performance Optimization

Measure the bottleneck before optimizing it.

## Workflow

1. Define the user or system target: p50/p95/p99 latency, throughput, startup,
   memory ceiling, frame budget, bundle size, query cost, or error budget.
2. Build a representative and repeatable workload with realistic data,
   concurrency, cache state, network, and device assumptions.
3. Capture a baseline with profiler, trace, query plan, browser performance
   panel, bundle analyzer, or resource metrics. Record variance and warm/cold
   state.
4. Rank bottlenecks by user impact and cost. Form one falsifiable hypothesis.
5. Make the smallest change, rerun the same workload, and compare effect and
   regressions. Keep only improvements that meet the target without violating
   correctness, accessibility, cost, or operability.
6. Add a regression budget/check where the risk is likely to recur.

Read [measurement.md](references/measurement.md). Do not optimize a benchmark
that does not represent the user path, hide work by weakening correctness, or
claim improvement from one noisy run.

## Completion condition

The bottleneck, baseline, change, before/after result, variance, trade-offs,
and remaining limits are documented.

## Source & license

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

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

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-thiientv-godmode-performance-optimization
- Seller: https://agentstack.voostack.com/s/thiientv
- 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%.