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backend-queries
Write secure, performant database queries using parameterized queries, proper eager loading, and transaction management. Use this skill when writing database queries, ORM operations, raw SQL statements, or repository methods. When working on files in repositories/, queries/, services/, or any code that interacts with the database. When optimizing query performance, preventing N+1 queries, implementing transactions, adding query timeouts, or caching expensive queries. When reviewing code for SQL injection vulnerabilities.
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
update-docs
Update all project documentation after code changes.
sync-readme
Synchronize English README.md with Chinese README_ZH.md, maintaining content parity.
teams-channel-post-writer
Creates educational Teams channel posts for internal knowledge sharing about Claude Code features, tools, and best practices. Applies when writing posts, announcements, or documentation to teach colleagues effective Claude Code usage, announce new features, share productivity tips, or document lessons learned. Provides templates, writing guidelines, and structured approaches emphasizing concrete examples, underlying principles, and connections to best practices like context engineering. Activates for content involving Teams posts, channel announcements, feature documentation, or tip sharing.
study-notes-creator
Creates well-organized study notes from any content. Use when the user asks for study notes, learning summaries, revision materials, or wants to understand a topic for studying.
docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
tavily-tools
Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.
mcaf-testing
Add or update automated tests for a change (bugfix, feature, refactor) using the repository’s testing rules in `AGENTS.md`. Use TDD where applicable; derive scenarios from docs/Features/* and ADR invariants; prefer stable integration/API/UI tests, run build before tests, and verify meaningful assertions for happy/negative/edge cases.
mcaf-architecture-overview
Create or update `docs/Architecture/Overview.md` (architecture diagrams): maintain Mermaid diagrams for system/modules, interfaces/contracts, and key classes/types; document dependency rules; link to ADRs/features. Use when onboarding, refactoring, or adding modules/boundaries.
mcaf-feature-spec
Create or update a feature spec under `docs/Features/` using `docs/templates/Feature-Template.md`: business rules, user flows, system behaviour, Mermaid diagram(s), verification plan, and Definition of Done. Use before implementing a non-trivial feature or when behaviour changes; keep the spec executable (test flows + traceability to tests).
mcaf-adr-writing
Create or update an ADR (Architecture Decision Record) under `docs/ADR/` using `docs/templates/ADR-Template.md`: context, decision, alternatives, consequences, rollout, and verification. Use when changing architecture, boundaries, dependencies, data model, or cross-cutting patterns; ensure it is self-contained, has a Mermaid diagram, and defines testable invariants.
update-docs
Updates documentation in the repository after completing work. Use when the user explicitly asks to update docs, refresh documentation, or sync docs with code changes.
github-integration
Use when building GitHub-based features - Explains auth token usage, Gist reading/writing and rendering helpers.
maze-engine
An autonomous fiction generation engine based on Trap-Based Narrative Theory, built for Claude Code.
tech-article-image
为技术文章生成高质量主题配图。触发场景：(1)用户要求为文章配图/生成题图/制作封面图 (2)用户上传技术文章并要求生成配图 (3)用户提到"给文章配个图"、"生成主题图"、"做张封面"。核心能力：分析文章主题和情绪，从25种反AI油腻感的风格中匹配最佳选项，生成专业级图像提示词。支持MCP生图工具自动生成，无MCP时输出提示词供手动使用。
validation-first
Validation-first development with Quint - design specifications from requirements, then execute CREATE -> VERIFY -> IMPLEMENT cycle. Use when developing with formal state machine specifications, invariants, and temporal properties using Quint before writing implementation code.
test-driven
Test-Driven Development (TDD) - design tests from requirements, then execute RED -> GREEN -> REFACTOR cycle. Use when implementing features or fixes with TDD methodology, writing tests before code, or following XP-style development with pytest, vitest, cargo test, or go test.
ae-mcp
After Effects automation through Model Context Protocol. Use when users request creating, modifying, or animating content in Adobe After Effects, including compositions, layers, keyframes, effects, expressions, text animations, lower thirds, title cards, logo reveals, or any motion graphics tasks. Trigger on phrases like "create in After Effects", "animate this", "make a motion graphic", "add keyframes", "apply effects", or when users mention AE-specific concepts like compositions, precomps, expressions, or time remapping.
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
hugging-face-evaluation-manager
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
moai-ai-nano-banana
Nano-Banana AI service integration for content generation, image creation, and AI-powered workflows. Use when integrating AI services for content creation.
promptfoo-evaluation
Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on keywords like "promptfoo", "eval", "LLM evaluation", "prompt testing", or "model comparison".
moai-platform-vercel
The provided content indicates a GitHub repository error page, not a functional skill description. No specific skill functionality or benefits can be determined from this content.