AI Skills
Create and master Claude Code skills for domain expertise
Showing 37-48 of 67
Screenshot Skills for AI Agents
Build visual context capture skills for Claude Code. Take, annotate, and analyze screenshots to give AI agents the visual information they need.
Inside ClawHub: How OpenClaw's Skill Registry Works
ClawHub hosts 13,000+ skills for OpenClaw. Here's how the registry works, how skills are structured, and what its rapid growth means for the AI skill economy.
Browser-Based Terminal for AI Agents
Turn web browsers into AI-controlled terminals. Build skills that give Claude Code browser automation capabilities for testing and data extraction.
Build Watchers That Keep AI Happy
Create universal build watchers that feed real-time context to AI agents. Faster feedback loops, fewer broken builds, happier AI.
26 Hidden Commands and the Case for Opinionated AI Skills
Hidden slash commands in Claude Code reveal what power users actually need: sharp, opinionated workflows. Here's what skill builders should learn from them.
Essential Reading for Skill Developers
Curated must-read resources for building Claude Code skills. Books, docs, posts, and repos every skill developer should study.
What is an AI Skill? Understanding Reusable AI Patterns
Discover what AI skills are, how they differ from prompts, and why they are essential for scaling AI capabilities across projects and teams.
Tool Integration in Skills: Connecting to External Systems
Learn how to design skills that guide Claude's tool usage. Master when to invoke tools, how to interpret results, and tool-aware skill patterns.
Level 3 Skills: Tool-Enabled Capabilities
Build Level 3 AI skills that leverage tools for file access, API integration, and system interaction. The gateway to powerful, practical automation.
Building a Test Writer Skill: TDD Automation
Learn to build an AI skill that automatically generates comprehensive tests for your code, supporting TDD workflows and improving test coverage.
Level 2 Skills: Template-Based Generation
Learn to build Level 2 AI skills that use templates and placeholders for structured, consistent output generation across documents, code, and content.
Structured Output Design for Predictable Results
Design AI skill outputs that are consistent, parseable, and useful. Master output format specification for reliable, actionable results.