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.
Profiles Python code for performance bottlenecks and memory issues.
Install Python Performance
$ npx skills add athola/claude-night-market --skill python-performance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install athola/claude-night-market python-performance --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/athola/claude-night-market.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/parseltongue/skills/python-performance .claude/skills/python-performance && 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 "python-performance" agent skill from https://github.com/athola/claude-night-market/tree/master/plugins/parseltongue/skills/python-performance into .claude/skills/python-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-performance", 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/athola/claude-night-market/tree/master/plugins/parseltongue/skills/python-performanceType 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 athola/claude-night-market --skill python-performance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install athola/claude-night-market python-performance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/athola/claude-night-market.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/parseltongue/skills/python-performance .agents/skills/python-performance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-performance" agent skill from https://github.com/athola/claude-night-market/tree/master/plugins/parseltongue/skills/python-performance into .agents/skills/python-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-performance", 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 athola/claude-night-market --skill python-performance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install athola/claude-night-market python-performance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/athola/claude-night-market.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/parseltongue/skills/python-performance .cursor/skills/python-performance && 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 "python-performance" agent skill from https://github.com/athola/claude-night-market/tree/master/plugins/parseltongue/skills/python-performance into .cursor/skills/python-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-performance", 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/athola/claude-night-market.git --path plugins/parseltongue/skills/python-performance--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 athola/claude-night-market --skill python-performance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install athola/claude-night-market python-performance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/athola/claude-night-market.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/parseltongue/skills/python-performance .gemini/skills/python-performance && 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 "python-performance" agent skill from https://github.com/athola/claude-night-market/tree/master/plugins/parseltongue/skills/python-performance into .gemini/skills/python-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-performance", 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 athola/claude-night-market python-performanceInstalls 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 athola/claude-night-market --skill python-performance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/athola/claude-night-market.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/parseltongue/skills/python-performance .github/skills/python-performance && 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 "python-performance" agent skill from https://github.com/athola/claude-night-market/tree/master/plugins/parseltongue/skills/python-performance into .github/skills/python-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-performance", 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 athola/claude-night-market --skill python-performance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install athola/claude-night-market python-performance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/athola/claude-night-market.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/parseltongue/skills/python-performance .opencode/skills/python-performance && 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 "python-performance" agent skill from https://github.com/athola/claude-night-market/tree/master/plugins/parseltongue/skills/python-performance into .opencode/skills/python-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-performance", 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
python-performance- GitHub stars
- 342
- Token cost
- ~718 tokens
- SKILL.md length
- 199 words
- Files
- 6
- Skills in repo
- 160
- Repo updated
- First seen
- Licence
- MIT
At a glance
Profiles Python code for performance bottlenecks and memory issues.
- Python code is slow
- SKILL.md covers Quick Start, When To Use, When NOT To Use and Modules, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Profiling for optimization before a release
What it does
Python Performance is an agent skill from athola/claude-night-market. Profiles Python code for performance bottlenecks and memory issues. Use when Python code is slow or when profiling for optimization before a release.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `modules/benchmarking-tools.md`, `modules/best-practices.md` and `modules/memory-management.md`).
It sits in Development, covering Performance optimization. It works with Python. The repository describes itself as: 23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context… The licence is MIT.
When your agent uses it
- Python code is slow
- Profiling for optimization before a release
Example prompts
- “Use the python-performance skill to profile Python code for performance bottlenecks and memory issues”
- “/python-performance”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9f3eb00. 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).
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
Python Performance loads about 718 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 199 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
The full file from athola/claude-night-market at commit 9f3eb00, republished under its MIT licence (© athola). 199 words, ~718 tokens.
Download SKILL.mdSave it as
.claude/skills/python-performance/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- python-performance
- description
- Profiles Python code for performance bottlenecks and memory issues. Use when Python code is slow or when profiling for optimization before a release.
- globs
- **/*.py
- alwaysApply
- false
- category
- performance
- tags
- python, performance, profiling, optimization, cProfile, memory
- usage_patterns
- performance-analysis, bottleneck-identification, memory-optimization, algorithm-optimization
- complexity
- intermediate
- model_hint
- standard
- estimated_tokens
- 1200
- progressive_loading
- true
- modules
- modules/profiling-tools.md, modules/optimization-patterns.md, modules/memory-management.md, modules/benchmarking-tools.md, modules/best-practices.md
Python Performance Optimization
Profiling and optimization patterns for Python code.
Quick Start
# Basic timing
import timeit
time = timeit.timeit("sum(range(1000000))", number=100)
print(f"Average: {time / 100:.6f}s")Verification: Run the command with --help flag to verify availability.
When To Use
- Identifying performance bottlenecks
- Reducing application latency
- Optimizing CPU-intensive operations
- Reducing memory consumption
- Profiling production applications
- Improving database query performance
When NOT To Use
- Async concurrency - use python-async instead
- CPU/GPU system monitoring - use conservation:cpu-gpu-performance
- Async concurrency - use python-async instead
- CPU/GPU system monitoring - use conservation:cpu-gpu-performance
Modules
This skill is organized into focused modules for progressive loading:
profiling-tools
CPU profiling with cProfile, line profiling, memory profiling, and production profiling with py-spy. Essential for identifying where your code spends time and memory.
optimization-patterns
Eleven proven optimization patterns including list comprehensions, generators, caching, string concatenation, data structures, NumPy, multiprocessing, database operations, and loop transformations (what works in Python vs the compiler).
memory-management
Memory optimization techniques including leak tracking with tracemalloc and weak references for caches. Depends on profiling-tools.
benchmarking-tools
Benchmarking tools including custom decorators and pytest-benchmark for verifying performance improvements.
best-practices
Best practices, common pitfalls, and exit criteria for performance optimization work. Synthesizes guidance from profiling-tools and optimization-patterns.
Exit Criteria
- Profiled code to identify bottlenecks
- Applied appropriate optimization patterns
- Verified improvements with benchmarks
- Memory usage acceptable
- No performance regressions
© athola, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files in plugins/parseltongue/skills/python-performance of athola/claude-night-market.
- SKILL.md
- modules/benchmarking-tools.md
- modules/best-practices.md
- modules/memory-management.md
- modules/optimization-patterns.md
- modules/profiling-tools.md
Open the folder on GitHubat commit 9f3eb00
Compare with similar skills
Python Performance 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 |
|---|---|---|---|---|---|---|
| Python Performance this skillathola/claude-night-market | 342 | — | ~718 | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Python Performance Optimizationwshobson/agents | 40k | 12 repos | ~814 | Automated safety check: Pass | MIT | |
| Keybase RPC Log Analysiskeybase/client | 9.3k | — | ~3k | Automated safety check: Pass | BSD-3-Clause | |
| The Art of Debuggingstas00/the-art-of-debugging | 1.7k | — | ~6.1k | Automated safety check: Notes | CC-BY-SA-4.0 |
Similar skills
Py
crazyguitar/pysheeet
Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC.
Python Performance Optimization
wshobson/agents
Profiles slow Python code with cProfile and memory profilers, then applies targeted fixes for CPU, memory, I/O and query bottlenecks.
Keybase RPC Log Analysis
keybase/client
Captures a clean Keybase service log and analyzes it for redundant, duplicated or looping RPCs, then checks whether a caching fix reduced the calls.
The Art of Debugging
stas00/the-art-of-debugging
Condensed debugging method and tool recipes for Unix, Python and PyTorch programs: crashes, hangs, segfaults, wrong output, CUDA OOM, NaN values and slowness.
Code Review Specialist
luongnv89/claude-howto
Reviews code for security, performance, quality and maintainability, using a checklist, a finding template and two metrics scripts.
More from athola/claude-night-market
All 160 skills in this repoNight Market Diagnostics Toolkit
athola/claude-night-market
Run and interpret repo diagnostic scripts (ratchets, validators, token stats).
Skills Eval
athola/claude-night-market
Evaluate Claude skill quality through auditing. An agent skill from athola/claude-night-market.
Agent Teams
athola/claude-night-market
Coordinates Claude agent teams via filesystem protocol. An agent skill from athola/claude-night-market.
Delegation Core
athola/claude-night-market
Delegates execution to eight CLIs (Gemini, Qwen, MiniMax, GLM, Muse, Codex, OpenCode, Glimmer).
Elegant Code
athola/claude-night-market
Guide minimal code via a decision ladder with full safety, edge, and negative-case coverage.
Skill Library Mission
athola/claude-night-market
Build a project skill library in .claude/skills/ via discovery, parallel authoring, and review.
Related
Works with
Categories
Questions about Python Performance
What does Python Performance do?
Profiles Python code for performance bottlenecks and memory issues. Python Performance is an agent skill from athola/claude-night-market. Profiles Python code for performance bottlenecks and memory issues.
When should I use Python Performance?
Python Performance fits situations like: Python code is slow; profiling for optimization before a release.
How do I install Python Performance in Claude Code?
Run `npx skills add athola/claude-night-market --skill python-performance -a claude-code`. Or copy the skill folder (plugins/parseltongue/skills/python-performance in athola/claude-night-market) into .claude/skills/python-performance in your project. Claude Code loads it when a task matches its description.
How do I install Python Performance in Codex?
Run `npx skills add athola/claude-night-market --skill python-performance -a codex`. Or copy the skill folder (plugins/parseltongue/skills/python-performance in athola/claude-night-market) into .agents/skills/python-performance in your project. Codex loads it when a task matches its description.
Can I use Python Performance 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 athola/claude-night-market --skill python-performance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-performance, .gemini/skills/python-performance, .github/skills/python-performance and .opencode/skills/python-performance in your project.
What does Python Performance need to run?
SKILL.md names no scripts, command-line tools or credentials: Python Performance is instructions for the agent only. Our summary lists: Python 3.
Does Python Performance 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 Python Performance 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 Python Performance use?
Python Performance is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Python Performance use?
About 718 tokens (SKILL.md is roughly 2.9k 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 Python Performance?
Skills that share tags, products or a category with Python Performance: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Py (crazyguitar/pysheeet, 8.2k stars), Python Performance Optimization (wshobson/agents, 40k stars) and Keybase RPC Log Analysis (keybase/client, 9.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Performance?
athola (a GitHub user) maintains it in athola/claude-night-market, which has 342 GitHub stars. The repository holds 160 skills in this directory. The repository was last updated on October 6, 2026.
Source: athola/claude-night-market on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.