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Interactive guide for workspace discovery, providing access to specialist agents, automated workflows, CLI tools, and active lifecycle hooks.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
518 skills found
Interactive guide for workspace discovery, providing access to specialist agents, automated workflows, CLI tools, and active lifecycle hooks.
Verify code style and formatting using Prettier and Stylelint without applying changes. Ensures consistent codebases by identifying issues in JS/TS/CSS/SCSS files.
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Standardize project scaffolding with pre-configured Claude Code directories, commands, and agents to ensure consistency across all your development templates.
Automated GitHub PR review agent for code quality, security analysis, and standard compliance using gh CLI.
Browser-based QA automation for web applications. Performs automated site audits, visual regression testing, user flow verification, and issue tracking with real-time browser snapshots.
Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.
Physical hardware synthesis bridge for PAI. Generates blueprints, 3D printing code, SVG paths for laser cutting, and G-Code for CNC machining to bring agentic designs into the physical world.
Writes, executes, and refines SQL queries, from basic selects to complex multi-table joins, aggregations, and subqueries for data retrieval and reporting.
Automates the creation and maintenance of CLAUDE.md files. It monitors codebase evolution and keeps project memory in sync with file changes, structure, and build commands.
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.