Total 31,180 skills, AI & Machine Learning has 5045 skills
Showing 12 of 5045 skills
Maps the directory structure of the project to help the AI understand the codebase layout.
Xiaoa Assistant Configuration Template. Adapted from xiaomo-starter-kit, it provides pre-configured OpenClaw assistant framework files. This skill is used when users need to quickly configure a new assistant, set up assistant identity, or create assistant configuration files.
Prepares and audits high-quality datasets for AI/RAG applications. Cleans noise, structure data, and ensures privacy compliance in knowledge bases.
Performs Technical Due Diligence on startups. Analyzes code (if available) or evaluates public signals (hiring, blogs) to assess technical risk and team maturity.
Digital archiving workflows with AI enrichment, entity extraction, and knowledge graph construction. Use when building content archives, implementing AI-powered categorization, extracting entities and relationships, or integrating multiple data sources. Covers patterns from the Jay Rosen Digital Archive project.
Execute deep web research on any topic using Yutori's research agents. Use for competitive analysis, market research, finding documentation, or answering complex questions that require synthesizing information from multiple sources.
Comprehensive guide for AI-assisted vibe coding. Use when the user wants to build applications through natural language prompts using tools like Lovable, Cursor, Replit, or Bolt. Includes best practices, pitfall awareness, tool-specific guidance, architectural decision support, and MVP scope definition with a bias toward cutting features aggressively to ship faster.
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
Expert AGENTS.md file assistant. Use when users want to create, verify, or improve AGENTS.md files. Helps with creating minimal, focused AGENTS.md files following progressive disclosure principles, verifying existing files for issues (bloat, contradictions, stale info), and refactoring bloated files.
Prompt engineering expert that helps users craft optimized prompts using 57 proven frameworks. Use when users want to optimize prompts, improve AI instructions, create better prompts for specific tasks, or need help selecting the best prompt framework for their use case.
Self-report agent issues by logging user corrections for later review, then resume with the correct skill. Use when a user says "don’t do that", "stop doing X", "always do Y", or requests self-correction.
Create effective debugging prompts—include error messages, stack traces, expected vs actual behavior, logs, and attempted solutions