Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Apply systematic performance optimization techniques when writing or reviewing code.
Install Performance Optimization
$ npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ynulihao/AgentSkillOS performance-optimization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data/skill_seeds/performance-optimization .claude/skills/performance-optimization && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "performance-optimization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/performance-optimization into .claude/skills/performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-optimization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/performance-optimizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ynulihao/AgentSkillOS performance-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data/skill_seeds/performance-optimization .agents/skills/performance-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performance-optimization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/performance-optimization into .agents/skills/performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-optimization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ynulihao/AgentSkillOS performance-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data/skill_seeds/performance-optimization .cursor/skills/performance-optimization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performance-optimization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/performance-optimization into .cursor/skills/performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-optimization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ynulihao/AgentSkillOS.git --path data/skill_seeds/performance-optimization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ynulihao/AgentSkillOS performance-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data/skill_seeds/performance-optimization .gemini/skills/performance-optimization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performance-optimization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/performance-optimization into .gemini/skills/performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-optimization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ynulihao/AgentSkillOS performance-optimizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .github/skills && cp -r skills-src/data/skill_seeds/performance-optimization .github/skills/performance-optimization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performance-optimization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/performance-optimization into .github/skills/performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-optimization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ynulihao/AgentSkillOS performance-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data/skill_seeds/performance-optimization .opencode/skills/performance-optimization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performance-optimization" agent skill from https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/performance-optimization into .opencode/skills/performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-optimization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
performance-optimization- GitHub stars
- 617
- Token cost
- ~2k tokens
- SKILL.md length
- 648 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- None found
At a glance
Apply systematic performance optimization techniques when writing or reviewing code.
- Works in 9 steps: Algorithmic Improvements (Highest Impact) → Reduce Memory Allocations → Compact Data Structures → …
- Optimizing hot paths
- SKILL.md covers Core Philosophy, Reference Latency Numbers, Optimization Techniques… and Profiling Workflow, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Performance Optimization is an agent skill from ynulihao/AgentSkillOS. Apply systematic performance optimization techniques when writing or reviewing code. Use when optimizing hot paths, reducing latency, improving throughput, fixing performance regressions, or when the user mentions performance, optimization, speed, latency, throughput, profiling, or benchmarking.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Performance optimization. The repository describes itself as: Build your agent from 200,000+ skills via skill RETRIEVAL & ORCHESTRATION.
When your agent uses it
- Optimizing hot paths
- Reducing latency
- Improving throughput
- Fixing performance regressions
Example prompts
- “/performance-optimization”
Requirements
- Python 3
Workflow steps
9 steps, taken from the step headings in SKILL.md.
- Algorithmic Improvements (Highest Impact)
- Reduce Memory Allocations
- Compact Data Structures
- Fast Paths for Common Cases
- Precompute Expensive Information
- Bulk/Batch APIs
- Avoid Unnecessary Work
- Help the Compiler/Runtime
- Reduce Synchronization
What it can do on your machine
Read from SKILL.md and the folder at commit c3cfae1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and rust).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Performance Optimization loads about 2k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 648 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 648 words (~1,971 tokens).
“Apply these principles when optimizing code for performance. Focus on the critical 3% where performance truly matters - a 12% improvement is never marginal in engineering.”
- name
- performance-optimization
Files
Just SKILL.md in data/skill_seeds/performance-optimization of ynulihao/AgentSkillOS.
Open the folder on GitHubat commit c3cfae1
Compare with similar skills
Performance Optimization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performance Optimization this skillynulihao/AgentSkillOS | 617 | — | ~2k | Automated safety check: Pass | None | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Cmux Debugging Guidemanaflow-ai/cmux | 28k | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Electron Heap Snapshot Analysiskeybase/client | 9.3k | — | ~875 | Automated safety check: Pass | BSD-3-Clause |
Similar skills
LLM Torch Profiler Analysis
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
Py
crazyguitar/pysheeet
Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC.
Cmux Debugging Guide
manaflow-ai/cmux
Covers debug logging, the Debug menu, profiling rules and runtime pitfalls for working on the cmux macOS terminal app.
Electron Heap Snapshot Analysis
keybase/client
Analyzes V8, Chrome and Electron .heapsnapshot files with Node scripts to find memory leaks, detached DOM nodes and the retainer paths that keep objects alive.
Caffeine Cache Optimization Experiments
ben-manes/caffeine
Runs controlled JMH experiments on the Caffeine cache to find shared contention and hot-path waste, then reviews correctness and returns a reviewable patch.
More from ynulihao/AgentSkillOS
All 26 skills in this repoGenerate Image
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
Data Storytelling
ynulihao/AgentSkillOS
Transform data into compelling narratives using visualization, context, and persuasive structure.
Prompt Engineering Patterns
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Employment Contract Templates
ynulihao/AgentSkillOS
Create employment contracts, offer letters, and HR policy documents following legal best practices.
SQL Optimization Patterns
ynulihao/AgentSkillOS
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries.
Media Processing
ynulihao/AgentSkillOS
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration), ImageMagick (image manipulation, format conversion, batch processing, effects…
Related
Categories
Questions about Performance Optimization
What does Performance Optimization do?
Apply systematic performance optimization techniques when writing or reviewing code. Performance Optimization is an agent skill from ynulihao/AgentSkillOS. Apply systematic performance optimization techniques when writing or reviewing code.
When should I use Performance Optimization?
Performance Optimization fits situations like: optimizing hot paths; reducing latency; improving throughput; fixing performance regressions.
How do I install Performance Optimization in Claude Code?
Run `npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a claude-code`. Or copy the skill folder (data/skill_seeds/performance-optimization in ynulihao/AgentSkillOS) into .claude/skills/performance-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Performance Optimization in Codex?
Run `npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a codex`. Or copy the skill folder (data/skill_seeds/performance-optimization in ynulihao/AgentSkillOS) into .agents/skills/performance-optimization in your project. Codex loads it when a task matches its description.
Can I use Performance Optimization in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ynulihao/AgentSkillOS --skill performance-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performance-optimization, .gemini/skills/performance-optimization, .github/skills/performance-optimization and .opencode/skills/performance-optimization in your project.
What does Performance Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Performance Optimization is instructions for the agent only. Our summary lists: Python 3.
Does Performance Optimization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Performance Optimization safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Performance Optimization use?
No licence was found for Performance Optimization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Performance Optimization use?
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Performance Optimization?
Skills that share tags, products or a category with Performance Optimization: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Performance Optimization?
ynulihao (a GitHub user) maintains it in ynulihao/AgentSkillOS, which has 617 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on March 7, 2026.
Source: ynulihao/AgentSkillOS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.