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Found 1,637 Skills
Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state/action separation. Use when building React state management, creating global stores, or implementing reactive state patterns with Zustand.
Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".
Generates publication-ready SVG diagrams — flowcharts, sequence/protocol diagrams, structural/architecture diagrams, and illustrative intuition diagrams — by writing real SVG code directly following a cohesive design system. Use whenever the user asks to "draw a flowchart", "draw a sequence diagram", "show the OAuth / TCP / auth protocol", "make an architecture diagram", "explain how X works visually", "画流程图", "画时序图", "画架构图", "画示意图", "画图解", or wants a clean, embeddable vector diagram for articles, WeChat posts, slides, or docs. Output is a single self-contained .svg file that renders correctly in light and dark mode anywhere it is embedded.
This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal knowledge graphs, vector stores, entity memory, or cross-session persistence.
Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.
Write UI tests for Blazor applications (Server or WebAssembly) using Playwright. Covers navigation, interaction, authentication, selectors, and common Blazor-specific patterns.
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
Interact with ClawDirect, a directory of social web experiences for AI agents. Use this skill to browse the directory, like entries, or add new sites. Requires ATXP authentication for MCP tool calls. Triggers: browsing agent-oriented websites, discovering social platforms for agents, liking/voting on directory entries, or submitting new agent-facing sites to ClawDirect.
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
Configure PostgreSQL with pgvector for GrepAI. Use this skill for team environments and large codebases.
Generate or update PROJECT_MAP.md for user-specified folders. Applicable to scenarios where users request directory maps/project maps/repository overviews/folder-level descriptions/updating existing PROJECT_MAP.md. Must first ask for the folder scope to scan, default full-repository scanning is prohibited; supports single directory or multiple directories (combined or generated separately).
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.