clawhub
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
589 skills found
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Perform comprehensive code reviews and generate QA test plans for Storyblok projects, ensuring quality, security, and adherence to best practices.
Gemini-powered UI design review, accessibility auditing, and design system validation tool for software agents.
Manage Neovim configurations, plugin ecosystems, and custom reproducible builds.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Optimize post-signup onboarding, user activation, and first-run experiences. Improve time-to-value by fixing onboarding flows, empty states, and activation checklists to reduce early churn.
Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.
A versatile data analysis assistant for loading datasets, performing statistical calculations, visualizing trends, and generating professional summary reports.
Initialize and configure Trigger.dev in your project. Essential for setting up the SDK, project configuration, directory structure, and your first background task.
Tamagui library best practices for architecture, configuration, compiler optimization, and component patterns.
Securely manage CI/CD secrets with Vault, AWS Secrets Manager, and environment-specific patterns. Prevent credential leakage, implement rotation, and enforce least-privilege access for pipelines.
A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.