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Comprehensive guide for building modular skills that extend Claude's capabilities with specialized knowledge and workflows. \n \n Skills are self-contained packages combining procedural instructions, tool integrations, domain expertise, and bundled resources (scripts, references, assets) to transform Claude into a specialized agent \n Follows progressive disclosure design: metadata always available, SKILL.md loaded on trigger, bundled resources loaded as needed to minimize context bloat \n Core

Generates a fully configured Spring Boot project from scratch using the Spring Initializr API. The skill walks the user through selecting project parameters, choosing an architecture style (DDD or Layered), configuring data stores, and setting up Docker Compose for local development. The result is a build-ready project with standardized structure, dependency management, and configuration.

Create, test, and iteratively improve AI agent skills with structured evaluation and benchmarking. \n \n Guides you through the full skill development lifecycle: intent capture, draft writing, test case creation, evaluation, and iteration based on user feedback \n Runs quantitative benchmarks comparing skill-enabled vs. baseline performance, with timing and token usage analysis across multiple test cases \n Generates an interactive browser-based review tool for qualitative evaluation — side-by-s

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AI-powered banner creation with iterative design feedback and platform-specific cropping. \n \n Guides users through discovery phase to gather requirements (purpose, target ratio, style, content elements, colors) before generation \n Generates 20 banner variations at 21:9 ratio using the nanobanana skill, then crops to target formats (2:1 for GitHub, 3:1 for Twitter, 16:9 for websites) \n Includes HTML preview template for browsing variations and iterating based on user feedback \n Supports imag

A skill for creating new skills and iteratively improving them.

Create animated GIFs optimized for Slack with composable animation primitives and built-in validators. \n \n Provides 15+ animation primitives (shake, bounce, spin, pulse, fade, zoom, explode, wiggle, slide, flip, morph, move, kaleidoscope) that compose freely for custom effects \n Includes validators for Slack's strict size limits (2MB for messages, 64KB for emoji) and dimension requirements, with optimization strategies for each constraint \n Offers helper utilities for GIF assembly, text rend

This skill provides guidance for creating effective skills.

Create and install custom Codex agent roles with guided configuration and validation. \n \n Collects required inputs (model, reasoning effort, developer instructions, role name, install scope) before writing any files, with strict validation against the config schema \n Writes minimal role config files by default, adding optional parameters like sandboxing, web search controls, and MCP servers only when explicitly requested \n Installs roles into global ( ~/.codex/config.toml ) or project-scoped

Port existing Semgrep rules to new target languages with applicability analysis and test-driven validation. \n \n Takes an existing Semgrep rule and target languages as input; produces independent rule and test directories for each applicable language \n Requires mandatory applicability analysis per language before porting, rejecting shortcuts like assuming identical patterns across different ASTs \n Enforces test-first methodology: write minimum 2 vulnerable and 2 safe test cases before creatin