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Found 1,564 Skills
Curated collection of 1209+ best OpenClaw AI agent skills, weekly updated by MyClaw.ai
Use the mm CLI to index, explore, query, and extract content from multimodal directories containing images, videos, PDFs, code, and other files. Triggers: exploring a directory's contents, listing/finding files by type or size, extracting text from PDFs, getting image metadata, searching across file contents, counting tokens, viewing directory trees, extracting PDF page mosaics, video keyframe extraction, 'what files are in this folder', 'find all images', 'show me the PDFs', 'how much storage do videos use', 'extract text from this PDF', 'search documents for X', 'analyze this directory', 'how many tokens', 'show the tree'.
Extract text from images using OCR and vision AI with the performOCR() high-level API or the full VisionPipeline.
Build hierarchical memory systems for AI agents using GAM (General Agentic Memory) with text, video, and long-horizon trajectory support
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
Fetch up-to-date Railway documentation to answer questions accurately. Use when user asks about Railway features, how Railway works, or shares a docs.railway.com URL.
Agent workflow for generating highly diverse creative content using Verbalized Sampling (VS) technique. Use when user requests multiple variations, brainstorming, creative ideas, or when standard prompting produces repetitive outputs. Increases diversity by 1.6-2.1× while maintaining quality. Works for: blog posts, social media captions, stories, campaign ideas, product descriptions, taglines, and open-ended creative tasks.
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.
Query fan-out coverage for AI visibility. Covers semantic variation analysis and sub-question targeting.
企业微信客服自动化系统。自动同意好友添加、基于知识库的智能问答、未知问题人工介入提醒。适用于企业微信客服场景的 AI 助手机器人。
Merges valuable content into permanent documentation, then deletes source files. Use when you have untracked *_REPORT.md or *_ANALYSIS.md files, git status shows markdown artifacts that shouldn't be committed, preparing PR and need to clean up working artifacts, preserving insights from code reviews. Do not use when files are already in docs/ or skills/ locations. DO NOT use when: files are intentionally temporary scratch notes. DO NOT use when: source files have no extractable value.
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.