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编写清晰、全面的技术文档。适用于创建规范说明、架构文档、运维手册或 API 文档。擅长处理技术……

Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture,…

Write comprehensive technical documentation including user guides, how-to articles, system architecture docs, onboarding materials, and knowledge base…

Ingest GitHub Copilot CLI session history into an Obsidian wiki as distilled knowledge pages. Use this skill when the user wants to capture their Copilot CLI sessions into a personal wiki — extracting architecture decisions, debug notes, and patterns into searchable Obsidian pages. Triggers on phrases like "ingest my copilot sessions into obsidian", "add my copilot history to my wiki", "pull my copilot session history into the vault", "capture what I've learned from copilot into obsidian", "just the new sessions since last time", or "mine patterns across my copilot sessions". Also triggers when the user mentions session-store.db, ~/.copilot/session-state, or VS Code copilot-chat transcripts in the context of building a wiki or knowledge base. Does NOT trigger for general copilot usage questions, searching sessions, or backing up history.

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user…

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user…

Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.

Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for complex implementations that ensures thorough planning before coding. Use when: new feature implementation, complex implementations, architectural changes, system redesign, integration work, unclear requirements. Skip when: simple bug fixes, documentation updates, configuration changes, well-defined small tasks, routine maintenance.

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.

Byzantine fault-tolerant consensus and distributed coordination. Queen-led hierarchical swarm management with multiple consensus strategies. Use when: distributed coordination, fault-tolerant operations, multi-agent consensus, collective decision making. Skip when: single-agent tasks, simple operations, local-only work.

Design research plans and paper architectures. Given a research topic or idea, generate structured plans with methodology outlines, paper structure,…

Scaffolds new or restructures existing projects to Clean Architecture. Use when setting up project structure.

Checks layer boundary violations, transaction boundaries, session ownership, cross-layer consistency. Use when auditing architecture layers.

Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch,…

Automatically generate **professional-grade** structured project Wiki from documentation, code, design files, and images. Use when: - User requests "generate wiki", "create docs", "create documentation" - User requests "update wiki", "rebuild wiki" - User requests "list plugins", "install plugin", "manage plugins" - Project needs automated documentation generation Features: - Smart project structure and tech stack analysis - **Deep code analysis** with semantic understanding - **Mermaid diagrams** for architecture, data flow, dependencies - **Cross-linked documentation** network - Incremental updates (only changed files) - Code blocks link to source files - Multi-language support (zh/en) - **Plugin system for extensions** For Chinese instructions, see references/SKILL.zh.md

使用《Scientific…》中的论文架构与写作策略原则，润色、重构学术文本，或将其翻译为符合《Nature》风格的英文。

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model…

Aggregate and display system metrics with anomaly detection for a time period