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example-skill
An example skill demonstrating the format for opencode-skills plugin
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testing security framework internals AI 技能
发现 testing security 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: testing security framework internals
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GitHub
add-primitive
Add or modify AI primitive definitions in the data layer with correct typing and complete metadata. Use when adding new primitives, updating descriptions, or extending primitive categories.
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GitHub
bolt
フロントエンド（再レンダリング削減、メモ化、lazy loading）とバックエンド（N+1修正、インデックス、キャッシュ、非同期処理）両面のパフォーマンス改善。速度向上、最適化が必要な時に使用。
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GitHub
pennylane
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google...
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GitHub
cirq
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and...
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GitHub
qiskit
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error...
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GitHub
ringpre-dev-feature
Lightweight 4-gate pre-dev workflow for small features (
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GitHub
pop-routine-optimized
Token-optimized morning/nightly routine using caching and selective execution
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GitHub
architecture-decisions
Architecture decision guides for Kailash SDK including framework selection (Core SDK vs DataFlow vs Nexus vs Kaizen), runtime selection (Async vs Sync), database selection (PostgreSQL vs SQLite), node selection...
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GitHub
python-guidelines
Universal Python development guidelines and best practices
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GitHub
swift-performance
Use when optimizing Swift code performance, reducing memory usage, improving runtime efficiency, dealing with COW, ARC overhead, generics specialization, or collection optimization
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GitHub
logic-master
Logic optimization and image-based code tasks with Codex CLI in --yolo mode. Use when (1) optimizing code logic or algorithms, (2) processing image inputs (screenshots, diagrams, mockups) to generate or modify...
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GitHub
performance-optimizer
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottlene...
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GitHub
sp
Guide for sp.h, a single-header C standard library replacement. You must use this guide when using or discussing sp.h in any capacity.
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GitHub
program-of-thoughts
INVOKE for calculations and data processing. Produces executable code instead of mental math. Use when precision matters or numbers are complex. Triggers: calculations, numerical analysis, data transformations,...
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GitHub
edge-deployment
Edge deployment strategies including mobile optimization, embedded systems, TFLite, Core ML, and resource-constrained inference.
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GitHub
ai-accelerators
AI hardware accelerators including GPUs, TPUs, custom silicon, and hardware-aware optimization strategies for ML workloads.
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GitHub
coding-with-omega-leverage
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development work...
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GitHub
bit-manipulation
Bit manipulation tricks and techniques for solving problems efficiently using binary operations and XOR properties.
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GitHub
python-modern-practices
Python 3.12+の最新機能とベストプラクティスを活用したコード実装スキル
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GitHub
python-performance
Master Python optimization techniques, profiling, memory management, and high-performance computing
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GitHub
moai-alfred-context-budget
Enterprise Claude Code context window optimization with 2025 best practices: aggressive clearing, memory file management, MCP optimization, strategic chunking, and quality-over-quantity principles for 200K toke...
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GitHub
payload-generation-and-customization
Techniques for creating and adapting payloads for various exploitation scenarios, target environments, and evasion requirements
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GitHub
cascade-orchestrator
Creates sophisticated workflow cascades coordinating multiple micro-skills with sequential pipelines, parallel execution, conditional branching, and Codex sandbox iteration. Enhanced with multi-model routing (G...
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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。