GitHub
perf-analyzer
Analyzes performance benchmarks from CUDA, CPU, memory tests. Parses output, identifies bottlenecks, tracks metrics over time, generates optimization insights.
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tools framework internals AI Skills
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performance-optimization
Guides performance analysis and optimization for any application. Use when diagnosing slowness, optimizing code, improving load times, or when asked about performance.
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GitHub
build
Build the C++ backend using CMake. Use when user asks to compile, build, rebuild, or mentions CMake, compilation errors, or linking issues.
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GitHub
parallel-execution-optimizer
Identify and execute independent operations in parallel for 3-5x speedup. Auto-analyzes task dependencies, groups into batches, launches parallel Task() calls. Applies to /optimize (5 checks), /ship pre-flight...
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GitHub
sqlite-extension-generator
Generate optimized SQLite extensions in C, Rust, or Mojo
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GitHub
memory-manager
Advanced memory management techniques for the OpenCode memory system
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GitHub
review-optimization
Reviews memory optimization patches using a 5-persona peer review system. Requires unanimous approval backed by benchmarks. Bugs discovered during review are valuable - invoke /validate-correctness to validate...
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GitHub
benchmark-and-perf
Measure, compare, and improve eo-processor performance safely. Use when adding/changing Rust compute kernels, refactoring hot paths, or making performance claims. Provides a repeatable benchmark protocol with c...
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GitHub
rust-pyo3-function
Implement or modify a Rust function exposed to Python via PyO3 in eo-processor. Use when adding new compute kernels, fixing numerical/shape bugs in the Rust core, or wiring Rust functions into the Python module...
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GitHub
modern-python-stack
Astral社製ツール（uv, Ruff, ty）でPython開発環境を構築。プロジェクト作成、依存関係管理、コード品質改善、CI/CD設定時に使用。
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GitHub
python-pro
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use for ML training, analyt...
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GitHub
dppm-orchestration
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
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GitHub
dppm-orchestration
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
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GitHub
python-pro
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use for ML training, analyt...
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GitHub
complexity-killer
Audit and remove unnecessary abstractions from the codebase. Use when user wants to simplify, reduce dependencies, or eliminate complexity that slows down AI agents.
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GitHub
sum-two
Add two integers and respond in a fixed format.
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GitHub
backend-compiler
Backend Compiler Expert
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GitHub
lp-duality
Takes the dual of a linear program (LP). Use when the user provides an LP in LaTeX or markdown and wants its dual, or asks about LP duality transformations.
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GitHub
ffi-memory-management
Your approach to handling ffi memory management. Use this skill when working on files where ffi memory management comes into play.
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GitHub
ffi-bindings
Your approach to handling ffi bindings. Use this skill when working on files where ffi bindings comes into play.
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GitHub
torch-shape-validator
Add tensor shape validation and documentation to PyTorch code. This skill should be used when working with PyTorch models to ensure tensor shapes are correct and well-documented with inline comments.
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GitHub
type-hint-adder
Add comprehensive type hints to Python functions and methods, including PyTorch tensor types. This skill should be used when improving code quality through static type checking or when preparing code for mypy v...
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GitHub
complex-tensor-handler
Handle complex-valued tensors in PyTorch for astronomical imaging applications. This skill should be used when working with Fourier transforms, phase/amplitude representations, and complex arithmetic in PRISM.
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GitHub
loop-vectorizer
Convert Python loops to vectorized PyTorch tensor operations for performance. This skill should be used when optimizing computational bottlenecks in PyTorch code during Phase 4 performance optimization.
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