GitHub
numpy-ufuncs
Universal functions (ufuncs) for vectorization, including reductions, in-place operations, and custom Python-function wrapping. Triggers: ufunc, vectorize, reduce, accumulate, frompyfunc, in-place.
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testing security framework internals AI Skills
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numpy-structured
Structured and record arrays for C-interoperability, binary blob interpretation, and multi-field tabular data handling. Triggers: structured array, record array, compound dtype, multi-field index.
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GitHub
numpy-interop
Protocols for cross-library data exchange including DLPack, buffer interfaces, and __array_ufunc__ for overriding NumPy functions. Triggers: DLPack, interoperability, __array_interface__, __array_ufunc__, buffe...
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torchvision
Computer vision library for PyTorch featuring pretrained models, advanced image transforms (v2), and utilities for handling complex data types like bounding boxes and masks. (torchvision, transforms, tvtensor,...
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discoverymarket-scan
Analyze the competitive and adjacent solution landscape to surface differentiation opportunities.
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my-skill
A custom skill that helps with specific tasks in my project
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sensor-integration
Generate production-quality Python code for sensor integration, sensor fusion, and perception systems that run in Pyodide (browser). Creates educational code for teaching IMU sensors, LiDAR simulation, depth pe...
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GitHub
type-hints-for-ml-code
Apply appropriate type hints for ML/PyTorch code. Use when adding type annotations to ML code or addressing mypy errors.
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performance-optimization
Optimize training performance for Kaggle competitions. Use PROACTIVELY when training is slow, GPU memory issues occur, or user asks about performance tuning. Keywords: 遅い, 最適化, OOM, CUDA, batch_size, num_w...
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GitHub
seer
Set up GPU sandboxes for interpretability research. Use when writing setup.py scripts with Sandbox, SandboxConfig, ModelConfig, or create_notebook_session. Provides the exact API for Modal GPU environments - MU...
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GitHub
vibe-coding
AI-assisted development workflow with TDD, context management, and incremental implementation. Use when developing features with AI assistance, managing code context for AI tools, implementing features step-by-...
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GitHub
composable-rust-architecture
Expert knowledge for building event-driven systems with Composable Rust framework. Use when implementing reducers, designing state machines, working with effects, creating environment traits for dependency inje...
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GitHub
rust
Rust development patterns for video processing, trait abstractions, error handling, and Linux device interaction
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performance-profiling
Structured performance profiling and optimization skill for identifying and eliminating bottlenecks. Auto-triggers on slowness keywords.
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GitHub
avoiding-non-null-assertions
Avoid non-null assertion operator (!) and use type-safe alternatives instead
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GitHub
quantum-analysis
Deep code and system analysis using the Quantum Cognitive OS. Use when analyzing code, architectures, or complex systems that benefit from multi-dimensional reasoning.
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GitHub
syntax-keyword-assert-perl
Use Syntax::Keyword::Assert for zero-cost assertions in Perl
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GitHub
kura-perl
Store and export type constraints for Type::Tiny, Moose, Data::Checks, and more
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GitHub
pure-data
Pure Data reference documentation for audio patch development. Use when writing .pd patches, working with OSC/audio/sampling, or implementing Pure Data code.
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GitHub
mmd-device-quad-cortex
Guide for using the Neural DSP Quad Cortex device library in MMD files. Use when the user mentions Quad Cortex, QC, Neural DSP guitar processor, or needs help with preset loading, scene switching, expression co...
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GitHub
fstar-verification
Comprehensive F* proof-oriented programming for formal verification including dependent types, refinement types, effect system, SMT solver integration, tactic-based interactive theorem proving, and verified cod...
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GitHub
result-simple-perl
Use Result::Simple for tuple-based error handling in Perl
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GitHub
performance-optimization-guide
Guides performance optimization: atomic clock service, performance monitoring, memory optimization, battery optimization. Use when optimizing performance, monitoring metrics, or improving app efficiency.
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GitHub
compound-engineering
Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of...
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