MCP App StoreMCP App Store
from claude-skill-registry466
Guidance and patterns for Python parallelism and GPU/CPU performance: threading vs multiprocessing vs asyncio, CUDA streams, PyTorch DDP, and benchmarking.
Concrete patterns and rules for writing performance-sensitive Python code that uses CPU parallelism and GPU acceleration. Covers when to use threading, multiprocessing, or asyncio; safe multiprocessing with CUDA; CUDA streams and latency-hiding; PyTorch DDP tuning; and correct benchmarking techniques.
Use this skill when you're optimizing Python data pipelines or ML training: diagnosing I/O vs CPU vs GPU bottlenecks, preparing data loaders, setting up multiprocessing safely with CUDA, or tuning distributed training with DDP. Helpful during profiling, pre-deployment performance checks, and while writing high-throughput inference services.
Best used by developer-facing agents that can run code or provide coding guidance (Claude Code, Copilot/GitHub Copilot-like assistants, local coding assistants).
HPC Python Patterns provides guidance on Python parallelism and GPU/CPU performance. The SKILL.md body was unavailable (404 on raw GitHub URL), so only metadata (tags, short_description) could be evaluated. No scripts were bundled. Without the actual skill content, quality and architecture scores are low — the skill appears to be a reference/guidance skill with no executable components.
Source URL returned 404; skill_md_body was null in fetch output. This appears to be a pure guidance/knowledge skill with no scripts. The metadata suggests it covers threading vs multiprocessing vs asyncio, CUDA streams, PyTorch DDP, and benchmarking — useful niche topic but limited audience. Architecture score low due to missing frontmatter/body for proper evaluation. Code quality low because there's no code to assess — purely advisory content.
Uloop: Execute Dynamic Code
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Bookmarklet Creation
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libagent
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OpenTestAI
Automated, high-confidence AI testing: bug detection, persona feedback, and prioritized test-case generation using many specialized tester profiles.
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