Total 50,540 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Build AI agents with in-process agent loops using Anthropic or OpenAI APIs, custom tools, MCP servers, and multi-turn conversations
Research collection of reconstructed prompt patterns and architectures for agentic AI coding assistants
Hermes Labyrinth observability plugin for monitoring autonomous agent journeys, crossings, and execution traces
Implementation guide for 17+ agentic AI architectures using LangChain and LangGraph for building sophisticated AI agents
Curated collection of 1209+ best OpenClaw AI agent skills, weekly updated by MyClaw.ai
Self-referential self-improving AI agents that optimize for any computable task using meta-learning and code generation
Build and run durable background coding agents with workflow orchestration, isolated sandboxes, and GitHub integration on Vercel.
Load project context from the Claude Brain Logseq graph into the current session. Triggers: "load brain", "load <project>", "resume <project>", "continue work on <project>", "what do we know about <topic>". Don't fire for write operations (use brain-save), generic questions about Logseq itself, or "open <file>" / "switch to <branch>" requests that mean opening files or switching git branches rather than loading project memory.
Provides image recognition capabilities for non-multimodal models (such as pure text models like deepseek-v4-pro, GLM-5.1, mimo-v2.5-pro, etc.). This skill is automatically triggered when the main model cannot recognize images, when users send screenshots/design drafts/UI screenshots for analysis, or when users say 'Look at this image', 'Analyze this screenshot', 'What's wrong with this image'. It also applies to any scenario where users paste images but the current model does not support image input. Supports simultaneous recognition of multiple images, with primary-backup fallback achieved by configuring multiple image recognition models. It can also be manually triggered using the commands /skill:vision-support or /vision. Iron Rule: The models configured for this skill are only used for image content recognition and will never participate in main logical reasoning. Note: If the current model is itself a multimodal model (such as Claude Sonnet 4, GPT-4o, Gemini, etc. that can directly recognize images), do not use this skill; let the main model recognize directly.
Initialize, diagnose, or migrate a project into the LLM wiki pattern with AGENTS/CLAUDE instructions, QMD MCP wiring, Claude/Codex/OpenCode hooks/plugins, guardrails, and QMD doctor checks. Use when the user asks to set up wiki infrastructure, check if a project needs migration, install wiki hooks, or validate QMD.
Create Claude Code custom slash commands with proper structure, frontmatter, and best practices. Use this skill whenever the user wants to create a new command, add a slash command, build a custom command, or mentions "create-command", "new command", "add command", or "make a command" for Claude Code. Also trigger when the user wants to turn a workflow into a reusable command.
Create, audit, or consolidate agent skills following the Agent Skills open standard (agentskills.io). Interviews the user relentlessly about intent, scope, and edge cases before drafting. Covers SKILL.md structure, frontmatter, progressive disclosure, description optimization, script bundling, sub-command architecture, setup gates, context systems, and review. Use when the user wants to create a skill, write a skill, build a new skill, make a skill, draft a SKILL.md, or mentions "skill-maker". Also use when asked to review a skill, audit a SKILL.md, check why a skill never triggers, improve an existing skill, or fix a skill. Also use when asked to package expertise, workflows, or domain knowledge into a reusable skill. Also use when asked to consolidate skills, merge skills, combine skills, reduce skill count, or refactor multiple skills into one.