GitHub
gpu-memory-cleanup
Preventing Jupyter cell hangs with explicit CuPy GPU memory cleanup
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tools framework internals AI 技能
发现 tools framework internals 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: tools framework internals
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GitHub
mt5-bridge-connectivity
Foundation layer for identity verification, noise filtering, and environment awareness.
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GitHub
performance-analyzer
Analyze code performance, detect bottlenecks, suggest optimizations for algorithms, queries, and resource usage. Use when improving application performance or investigating slow code.
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GitHub
rust-wasm-optimization
Optimize Rust code for WebAssembly compilation and runtime performance. Use when building WASM applications, optimizing binary size, or improving WASM runtime performance.
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GitHub
nethercore-optimization
Optimization techniques for Nethercore games. Triggers on "optimize", "reduce size", "wasm-opt", "compress", "LTO", "asset compression", "state size". **Load references when:** - Detailed techniques -> `refere...
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GitHub
dspy-code
Specialized AI assistant for DSPy development with deep knowledge of predictors, optimizers, adapters, and GEPA integration. Provides session management, codebase indexing, and command-based workflows.
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GitHub
learn
Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI...
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GitHub
think
Cognitive enhancement toolkit combining non-linear reasoning, mental models, and literate programming. Use for complex analysis, system design, debugging, deep learning, and research workflows.
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GitHub
refactor
Meta-cognitive architecture optimization skill. Use when the user asks to "refactor the architecture", "optimize claude code", "evaluate components", or "run architecture audit". Also triggers automatically eve...
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GitHub
ultrawork
Metasuperhypergraph orchestrator with fractal scale-invariant recursion. Activates maximum performance mode through renormalization-group optimization, power-law resource allocation, and homoiconic self-improve...
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GitHub
thinktank-review
Full-context code review with multi-pass synthesis
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GitHub
rust-performance
High-performance Rust optimization. Profiling, benchmarking, SIMD, memory optimization, and zero-copy techniques. Focuses on measurable improvements with evidence-based optimization.
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GitHub
transmissions-processor
Guide for creating custom Transmissions processors with factory registration for core and remote development
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GitHub
python-dev
Python開発支援（FastAPI/Pydantic/uv）。 型ヒント、ruff、mypyでモダンPython開発をガイド。
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GitHub
juce-audio-graphics-architect
Advanced JUCE audio DSP, real-time analysis, and interactive graphics for plugin development. Use when building AU/VST3 plugins, adding DSP chains (reverb/delay/physical modeling), implementing FFT or audio-rea...
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GitHub
takum-arithmetic
Implement and understand Takum arithmetic - a logarithmic tapered-precision number format using base √e. Use when working with numerical precision, floating-point alternatives, scientific computing, or implemen...
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GitHub
feature-explorer
Discovers KrakenD features, checks edition availability (CE vs EE), and provides implementation examples
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GitHub
mcp-serena-fast-ops
Fast code operations using Serena MCP (1-3s) for symbol search, memory read/write, and basic code editing in LoRAIro project
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GitHub
collimator
Guide for using Collimator, a profunctor optics library for Lean 4. Use when writing code with lenses, prisms, traversals, or when accessing/modifying nested data structures.
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GitHub
maturin-debugger
Diagnose and fix maturin build issues for PyO3 Python bindings. Use when encountering problems with maturin develop, missing Python exports, module registration errors, or type stub generation issues. Particula...
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GitHub
rust-performance-analyzer
Analyzes Rust code for performance bottlenecks, memory inefficiencies, and optimization opportunities. Use when discussing performance, slow code, memory usage, profiling, benchmarks, or optimization.
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GitHub
socket-programming
Low-level socket programming including BSD sockets, Winsock, and network byte manipulation
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GitHub
io-multiplexing
High-performance I/O multiplexing including epoll, IOCP, kqueue, and io_uring
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GitHub
using-jax
Applies JAX patterns for scientific Python development. Use when working with JAX, distrax, numpyro, blackjax, or scientific computing. Covers vmap, JIT, RNG handling.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。