Total 56,266 skills, AI & Machine Learning has 9371 skills
Showing 12 of 9371 skills
This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.
Explains concepts using Socratic-style dialogue. Use when the user asks to explain, teach or help understand a concept like socrates.
Use this skill when designing engagement surveys, running pulse checks, building retention strategies, or improving culture. Triggers on employee engagement, surveys, pulse checks, retention strategies, culture building, eNPS, team health, and any task requiring engagement measurement or improvement programs.
Run 397B parameter Mixture-of-Experts LLMs on a MacBook using pure C/Metal with SSD streaming
NotebookLM CLI wrapper via `python3 {baseDir}/scripts/notebooklm.py` (backed by notebooklm-py). Use for auth, notebooks, chat, sources, notes, sharing, research, and artifact generation/download.
This skill should be used when the user needs to customize a resume for a specific job posting while maintaining truthfulness. Use when adapting an existing resume to match a job description, repositioning experience for a new role, or aligning resume language with target role keywords and requirements.
Set up AgentCash for your AI agent — wallet, core skill, and optional invite credits
Convert raster images (photos, illustrations, AI-generated art) into high-quality SVG recreations. Breaks the image into isolated features, builds each as a standalone SVG layer, then composites them. Use when the user wants to recreate an image as SVG, create vector versions of artwork, or extract specific elements from images as scalable graphics.
Transcribe audio and video files to text using a remote ASR service (Qwen3-ASR or OpenAI-compatible endpoint). Extracts audio from video, sends to configurable ASR endpoint, outputs clean text. Use when the user wants to transcribe recordings, convert audio/video to text, do speech-to-text, or mentions ASR, Qwen ASR, 转录, 语音转文字, 录音转文字, or has a meeting recording, lecture, interview, or screen recording to transcribe.
Multi-step voice content generation with deterministic validation. Orchestrates a 7-phase pipeline: LOAD, GROUND, GENERATE, VALIDATE, REFINE, OUTPUT, CLEANUP. Use when generating content in a specific voice, writing as a persona, or validating existing content against a voice profile. Use for "voice write", "write as", "generate in voice", or "voice content". Do NOT use for creating new voice profiles (use voice-calibrator), analyzing writing samples (use voice_analyzer.py), or general content without a voice target.
Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
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