release
Release a new version of cqs. Bumps version, updates changelog, publishes to crates.io, creates GitHub release.
浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Release a new version of cqs. Bumps version, updates changelog, publishes to crates.io, creates GitHub release.
Use the free first-party `dotnet format` CLI for .NET formatting and analyzer fixes. Use when a .NET repo needs formatting commands, `--verify-no-changes` CI checks, or `.editorconfig`-driven code style enforcement.
Telemetry and observability conventions. Apply when adding tracing, logging, metrics, or instrumentation to Rust code.
Create semantik plugins (connectors, embeddings, chunkers, rerankers, extractors, agents). Use when developing plugins, creating new integrations, or asking about plugin patterns, protocols, or testing.
Use this skill when building AI features, integrating LLMs, implementing RAG, working with embeddings, deploying ML models, or doing data science. Activates on mentions of OpenAI, Anthropic, Claude, GPT, LLM, RAG, embeddings, vector database, Pinecone, Qdrant, LangChain, LlamaIndex, DSPy, MLflow, fine-tuning, LoRA, QLoRA, model deployment, ML pipeline, feature engineering, or machine learning.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: AI SDK, Vercel AI SDK, generateText, streamText, add AI to my app, build an agent, tool calling, structured output, useChat.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: AI SDK, Vercel AI SDK, generateText, streamText, add AI to my app, build an agent, tool calling, structured output, useChat.
A secure, TypeScript-based demo app showcasing Omni’s embedding SDK. Features server-side signed URL generation, robust error handling, and best practices for environment variable management. Includes functional tests, security measures, and clear documentation for setup and deployment.
Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isnt just storage - its retrieval. A million stored facts mean nothing if you cant find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
A which-key LazyVim-style popup for JetBrains IDEs with IdeaVim. Press your leader key and see all available keybindings in a clean, navigable popup — just like LazyVim.
Modularity handbook (cohesion/coupling/boundaries). Evaluate design at the lowest unit, judge by the worst level, and propose fixes that reduce change ripple. Always open references/modularity.md and cite headings.