Python · Performance optimization

Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

shareAI-lab/learn-claude-code

Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC.

crazyguitar/pysheeet

Benchmarks Django ORM filters in Saleor by generating bulk data, extracting the SQL and running EXPLAIN ANALYZE to check index usage.

saleor/saleor

Profiles slow Python code with cProfile and memory profilers, then applies targeted fixes for CPU, memory, I/O and query bottlenecks.

wshobson/agents

Captures a clean Keybase service log and analyzes it for redundant, duplicated or looping RPCs, then checks whether a caching fix reduced the calls.

keybase/client

Condensed debugging method and tool recipes for Unix, Python and PyTorch programs: crashes, hangs, segfaults, wrong output, CUDA OOM, NaN values and slowness.

stas00/the-art-of-debugging

Reviews code for security, performance, quality and maintainability, using a checklist, a finding template and two metrics scripts.

luongnv89/claude-howto

Run profile-driven bottleneck optimization across Apache Fory implementations (Java, C++, Python/Cython, Go, Rust, Swift, C, JavaScript/TypeScript, Dart, Kotlin, Scala).

apache/fory

Analyze Samply Firefox-profiler output, record focused profiles, summarize hot threads/stacks, inspect symbolication, and compare profile evidence before and after a performance change.

vortex-data/vortex

Investigate backend performance using Django Silk profiling data.

baserow/baserow

Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.

Jeffallan/claude-skills

Prices each step of the window climber algorithm by disabling it in turn, to find steps that no longer earn their keep and branches that no longer fire.

ben-manes/caffeine

Optimizes and serves LLMs on NVIDIA GPUs with TensorRT-LLM, covering quantization, in-flight batching, multi-GPU parallelism and the trtllm-serve command.

Orchestra-Research/AI-Research-SKILLs

Detect per-kernel GPU resource regressions (VGPR, SGPR, register spills, scratch, static LDS) by diffing the final ISA before and after a change, using its isaresourcetable.py helper.

ROCm/FlyDSL

Answer questions about this agent's own token spend, usage limits and burn.

Socialpranker/agentburn

Explains three ways to speed up LLM inference: draft-model speculative decoding, Medusa heads and lookahead decoding with Jacobi iteration, and when each one fits.

Orchestra-Research/AI-Research-SKILLs

Speeds up or throttles cognee ingestion: estimate cost with a dry run, tune batching and chunk size, set LLM rate limits and run work in the background.

topoteretes/cognee

Speed up slow Apache Spark jobs by tuning partitions, shuffles, data skew, caching and executor memory, with do and don't rules for PySpark code.

wshobson/agents

Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use.

davila7/claude-code-templates

Builds the desktop Vite and iOS or Android Metro production bundles and checks them for tree-shaking problems, such as mobile-only modules leaking into the desktop build.

keybase/client

Caches slow file processing results in Python keyed by a SHA-256 hash of the file content, so renames still hit the cache and edits invalidate it automatically.

affaan-m/ECC

Compares SGLang, vLLM, TensorRT-LLM and TokenSpeed on one model and workload, searching server flags to find the best deployment command within a latency SLA.

BBuf/AI-Infra-Auto-Driven-SKILLS

Profile ExecuTorch model execution. Use when measuring performance, analyzing operator timing, or debugging slow models.

pytorch/executorch

Benchmarks LLM inference and drives GPU kernel optimization with Magpie.

amd/skills

Profiles a slow command or runtime you own with the right profiler for its language, using uninstrumented baseline timings and keeping raw profiling evidence local and private.

loopx-project/loopx

Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices.

davila7/claude-code-templates

Optimize or review eager CPU-only Albucore PyTorch runtime paths with benchmark-backed decisions.

albumentations-team/albucore

Finds and clears the five independent settings that cap the Unreal editor or game frame rate, so it runs uncapped or at a chosen target FPS.

kevinpbuckley/VibeUE

Builds a fused row-wise softmax kernel for Triton-Ascend that reads and writes each row once, handling padding, strides and masked loads on Ascend NPUs.

Krusty84/triton-ascend-agent-dev-kit

Python expert for stdlib, packaging, type hints, async/await, and performance optimization

RightNow-AI/openfang

Systematic performance profiling for Node.js, Python, and Go applications.

alirezarezvani/claude-skills

Continuously profile applications with Grafana Pyroscope and read the result as flame graphs.

grafana/skills

Turns a shotgun profiler table (MetaPhlAn relative abundance, Bracken counts, HUMAnN function tables) into honest figures and defensible community statistics with phyloseq, vegan, microViz, and…

GPTomics/bioSkills

Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time.

jeremylongshore/tons-of-skills-marketplace

Optimize Python code for reduced memory usage and improved memory efficiency.

benchflow-ai/skillsbench

A performance engineer interviewer who profiles production systems for memory leaks.

PrepLabsAI/InterviewMentor

Profile programs at the function/method level to identify performance hotspots, bottlenecks, and optimization opportunities.

ArabelaTso/Skills-4-SE

Performance profiling for Node.js, Python, and Go: CPU flamegraphs, memory leak detection, bundle analysis, query optimization, and k6 load testing.

borghei/Claude-Skills

定位 Python 脚本的性能瓶颈，集成 cProfile、tracemalloc 和 lineprofiler，一键执行 CPU 热点函数、内存分配或逐行耗时分析，并可输出 JSON 报告。当用户提到优化脚本、分析性能、定位 CPU 或内存热点、进行逐行分析，或询问代码为什么慢、如何加速、内存泄漏等问题时触发。

rongxinzy/RongxinAI

Static memory leak pattern scanner for Node.js, Python, Go, and Java.

LeoYeAI/openclaw-master-skills

Python Performance Optimization workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

diegosouzapw/awesome-omni-skills

Complete performance engineering system — profiling, optimization, load testing, capacity planning, and performance culture.

LeoYeAI/openclaw-master-skills

Profiles Python code for performance bottlenecks and memory issues.

athola/claude-night-market