Total 50,944 skills, AI & Machine Learning has 8535 skills
Showing 12 of 8535 skills
Master dispatcher for all MLflow workflows. Use this skill when the user wants to do anything with MLflow — tracing, evaluating, debugging, or improving an agent. Routes to the right MLflow sub-skill automatically. Triggers on: "use mlflow", "help with mlflow", "mlflow agent", "add mlflow to my project", "trace my agent", "evaluate my agent", or any MLflow task without a specific skill in mind.
Claude Code skill that makes AI agents respond in caveman-speak, cutting ~65-75% of output tokens while preserving full technical accuracy
Agent eXperience Interface (AXI) — ergonomic standards for building CLI tools that agents use via shell execution. Use when building, modifying, or reviewing any agent-facing CLI.
Detect and remove AI-generated writing patterns from text while preserving semantic meaning and factual accuracy. Rewrites text to sound natural, varied, and human-authored across domains including academic, technical, blog, professional, and social media writing. Use this skill when the user asks to "humanize text", "make this sound human", "remove AI patterns", "rewrite to sound natural", "make this less AI", "de-slop this", "clean up AI writing", "make this not sound like ChatGPT", or provides AI-generated text and asks for a natural rewrite. Also trigger when reviewing drafts for AI tells, checking if text sounds AI-generated, or requesting a "human pass" on content.
Use when user wants to generate music, songs, or audio tracks. Triggers on phrases like "generate a song", "make music", "create a track", "写首歌", "生成音乐", "来一首歌", "帮我做首歌", "纯音乐", "cover", "唱一首", or any request involving music creation, song writing, lyrics generation, or audio production. Also triggers when user provides lyrics and wants them turned into a song, or describes a mood/scene and wants background music. Even casual requests like "给我来点音乐" or "I want a chill beat" should trigger this skill. Do NOT use for music playback of existing files, music theory questions, or music recommendation without generation.
Use when the workflow needs to self-correct, improve over time, or establish feedback loops and evaluation cycles.
Persistent key-value memory storage for agents. Store and recall information across conversations and sessions. Use when you need the agent to remember facts, preferences, or data between interactions.
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
Instrument an existing codebase with LaunchDarkly AI Config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Track and report Claude Code token usage, spending, and budgets from a local cost-tracking database. Use when the user asks about costs, spending, usage, tokens, budgets, or cost breakdowns by project, tool, session, or date.
Delegate a sub-task to Gemini CLI via the Agent Client Protocol (ACP). Use this skill whenever you want to hand off work to Gemini — large-context summarization, Google Search grounding, tasks that exceed Claude's context window, or anything where Gemini's 1M-token window or real-time search gives an advantage. Also invoke when the user asks you to "ask Gemini", "check with Gemini", or "run this through Gemini". The script handles subprocess lifecycle and ACP session setup; you just provide the prompt and read stdout.
Bind / unbind / reconnect the user's WeChat — QR scan flow + lifecycle