Agent Skills Explorer
Your gateway to what general AI agents can achieve. This module compiles and showcases trending agent skills, specialized tools, and popular integrations in one place. Whether you are looking for standard productivity functions or highly unique agent capabilities, explore our curated lists and handpicked recommendations to see how agents are expanding their digital toolbelts.All selected skills do not require external interfaces or authentication.
TDD workflow: write tests first, then implementation, with RED-GREEN-REFACTOR cycle.
Execute written implementation plans in separate sessions for complex multi-step tasks.
Create, read, edit, and manipulate spreadsheet files with formula and table support.
Premium design system enforcing high-end agency aesthetics with strict anti-patterns and motion choreography.
Execute implementation plans with independent subagent tasks in the current session.
Discover, vet, and install agent skills by searching ACROSS every major registry at once — skills.sh, clawhub.ai, and GitHub — presenting each board on its own native metric (installs / stars) with the top entry per board, security-scanning the top candidates' real SKILL.md for risky patterns, and flagging what's already installed. Use when the user asks "how do I do X", "find a skill for X", "is there a skill that…", "what skill should I install for…", or wants to extend the agent with a capability that might already exist as a published skill. Unlike single-registry search, this surfaces the best of every platform side by side, so you recommend the genuinely relevant, popular, well-maintained, and SAFE one — not whatever ranked first on one site.
Next.js best practices — file conventions, RSC boundaries, data patterns, and async components.
Audit and upgrade existing websites to premium design standards without breaking functionality.
Verify work is complete, fixed, or passing before committing or claiming completion.
Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when creating new skills, editing existing skills, or verifying skills work before deployment