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Found 81 Skills
AI-enhanced LaTeX Example Intelligent Generator, achieving organic integration of AI and hard-coding. AI handles "semantic understanding" (analyzing chapter themes, inferring resource relevance, generating coherent narratives), while hard-coding is responsible for "structure protection" (format validation, hash verification, access control). It applies to scenarios where users request "filling example content/generating examples/supplementing LaTeX examples".
Use when authoring or normalising a specialist skill, or preparing to ship a feature or release — defines the seven evidence categories every specialist skill must declare against and provides the canonical Release Evidence Bundle template. The contract spine that turns scattered validation skills into a coherent ship-readiness check.
Day 1 morning move of a Foundation Sprint. Forces explicit team choices on target customer, important problem, team advantage, and competitors and alternatives. Produces a single coherent strategic frame that becomes the input to Day 1 afternoon Differentiation. Use after the sprint brief is signed and Day 1 morning is scheduled. Bundled artifact, not four separate decisions.
Write multi-chapter books (technical, tutorial, monograph, etc.) end-to-end. Handles outline planning, per-chapter drafting that stays coherent across long manuscripts, chapter review, and final HTML/PDF build. Trigger when user mentions "写书", "写一本书", "出书", "技术书", "book writing", "逐章写作", "O'Reilly", "mdbook", or wants to author a multi-chapter book.
Validates planning artifacts and reviews code for quality, consistency, and completeness. Use to lint planning documents (cross-references, dependencies, format) or to review changed code (security, coherence, scope, quality).
Redis vector search guidance covering HNSW vs FLAT algorithm choice, vector index configuration (dims, distance metric, datatype), filtered hybrid search combining vector similarity with TAG or NUMERIC filters, and the RAG retrieval pattern with RedisVL. Use when defining a VECTOR field in FT.CREATE, integrating embeddings (OpenAI, Cohere, sentence-transformers), tuning HNSW parameters (M, EF_CONSTRUCTION, EF_RUNTIME), building a retrieval-augmented generation pipeline, or filtering vector results by attribute.
Read and comprehend story texts, summarize characters, relationships, and plots, and organize them into a coherent outline. Suitable for quickly grasping the core of a story and providing an outline foundation for script creation
Creates and executes one coherent git commit from staged or selected working-tree changes. Use when the user asks to commit changes, stage and commit a logical change, or create a git commit with an appropriate message. Do not use for a draft-only message request or an operation that only pushes existing commits.
AI Picture Book generation skill. Transform short text descriptions into coherent picture book stories with visual compositions. Use when user wants to create illustrated stories or picture books from text.