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Automatically review documents against checklists and best practices. Use when creating or reviewing ADRs, Design Docs, meeting notes, technical proposals, or RFCs. Detects anti-patterns, vague expressions, and missing elements.

Write academic research documents following academic guidelines with peer-reviewed sources from Google Scholar and other academic databases. Always verify source credibility and generate IEEE standard references. Use for research papers, literature reviews, technical reports, theses, dissertations, conference papers, and academic proposals requiring proper citations and scholarly rigor.

Open source community building and engagement. Welcoming contributors,managing discussions, writing release notes, and fostering a healthyproject ecosystem.

Filesystem operations and codebase navigation. Use when exploring project structure, finding files, searching code, reading/writing files, or understanding codebase organization.

Idiomatic Go 1.25+ development. Use when writing Go code, designing APIs, discussing Go patterns, or reviewing Go implementations. Emphasizes stdlib, concrete types, simple error handling, and minimal dependencies.

Use when working with docusaurus.config.js/ts files to validate or modify Docusaurus configuration

Use this skill when the user asks to create characters, backstories, motivations, arcs, traits, or personality systems for fiction writing.

将 Plan Mode 的讨论结论固化为可执行的 Markdown 施工图纸。当用户完成 Plan 讨论、准备进入开发阶段时使用。生成 overview.md（战略层）、taskXX_*.md（战术层）、summary.md（审计层）三类文档，实现上下文序列化，避免 Plan 与 Code 偏航。

Enhanced docs validation with AI-powered features. Enhanced with Context7 MCP for up-to-date documentation.

Gestion du projet MyGGV GPS dans Archon. Utiliser pour la documentation, les tâches, la recherche dans la knowledge base (Supabase docs, MapLibre docs, etc.), et le suivi de projet.

Cross-language testing patterns: unit, integration, E2E testing strategies.Use when: writing tests, setting up test infrastructure, or improving coverage.Triggers: "test", "testing", "unit test", "integration test", "e2e","coverage", "mock", "fixture".

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens. | Sử dụng khi: AI, LLM, vision, embedding, phân tích hình ảnh, Gemini API.

Automatically applies when drafting or revising documentation to enforce repository voice, clarity, and navigation patterns.

Synchronize documentation with codebase - updates AUTO-GEN sections in CLAUDE.md, validates cross-references, and reports stale documentation

Use this skill when auditing the SND codebase for consistency, bugs, and documentation issues. Covers comprehensive audit procedures for scripts, skills, rules, and documentation.

Use when writing or changing tests, adding mocks, or tempted to add test-only methods to production code - prevents testing mock behavior, production pollution with test-only methods, and mocking without understanding dependencies

Expert README generation including project documentation, badges, and standard sections

This skill should be used when the user asks to "create a diagram", "draw architecture", "make a Mermaid diagram", "update the system diagram", "visualize data flow", or when generating flowcharts, module diagrams, or dependency graphs. Provides standards for clear, unambiguous Mermaid diagrams.

Comprehensive pytest skill for async Python testing with proper mocking, fixtures, and patterns from production-ready test suites. Use when writing or improving async tests for Python applications, especially FastAPI backends with database interactions.

Automatically updates CLAUDE.md and related documentation when new features, configurations, or best practices are discovered during development sessions