Total 50,542 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Use GLM web search MCP to perform internet searches. Trigger conditions: (1) Users request network search, online search, or information lookup (2) Need to query the latest information, news, and materials (3) Use GLM's web_search function
Interactive initialization script that generates an advanced Agent Skill utilizing L4 State Management, Lifecycle Artifacts, Tone Configuration, and Chained Commands. Use when authoring complex, persistent workflows.
Project notes system for preventing AI context loss and reasoning loops. Initialize notes, save notes mid-flow, recover context, migrate messy notes, and resolve lessons. Subcommands: /notebook, /notebook save, /notebook recover, /notebook migrate.
Patterns for ingesting knowledge into vector databases and RAG systems
Save current session state to Apple Notes at session end. Triggers on handoff, bye, done, wrap up, or Chinese equivalents. Multi-agent architecture with private (per-agent) and shared (cross-agent) notes. Three-tier memory: Active, Archive, Long-term. Use whenever the user wants to end a session, save progress, or says anything indicating they are done for now.
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
Profile-aware speech workflow for narrated notes, spoken drafts, audio summaries, accessibility reads, and other text-to-speech tasks. Use when one front-door workflow should resolve voice profiles, enforce disclosure, and apply manifest tracking before delegating to built-in `$speech` or a deterministic local CLI path.
Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Use task_summary when you need full task context, skill_get for experience guides, skill_search to discover public skills, memory_write_public for shared knowledge, and memory_timeline to expand around a memory hit.
Run a simulated meeting with multiple expert personas to analyze a subject from diverse perspectives, reach a decision, and propose a solution before implementation. Optionally posts the meeting analysis to a linked GitLab or GitHub issue.
Use when tasks require all-in-one multimodal understanding or generation with Alibaba Cloud Model Studio Qwen Omni models, including image-plus-audio interaction, voice assistants, and realtime multimodal agents.
Use when designing custom voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from a voice prompt plus preview text before using the returned voice_id in TTS.
Modern Python 3.12+ patterns your AI agent should use. Type hints, async/await, Pydantic v2, uv, match statements, and project structure.