Development

Use when user asks to "create a skill", "build a skill", or "design a skill". Guides through requirements, solution design, and implementation of token-efficient Claude Code skills.

Run an autonomous coding agent that builds applications from specifications. Use when asked to "build an app autonomously", "run autonomous agent", or "create application from spec".

Use when you need SVGs with selectable/customisable appearance: multiple palettes (WLILO / Obsidian / light), consistent typography, and repeatable agent-friendly pipelines. Triggers: svg theme, tokens, palette, WLILO, obsidian, design system, dark mode, diagram styling.

This skill should be used when the user asks to "generate Rails code", "create a model", "create a controller", "add a migration", "write Rails tests", "set up background jobs", "configure Rails app", or discusses Rails conventions, best practices, ActiveRecord patterns, Hotwire/Stimulus, ViewComponent, RSpec testing, or Ruby on Rails development. Based on Evil Martians' AGENTS.md.

Official Anthropic SDK for Claude AI with chat, streaming, function calling, and vision capabilities. Use when integrating Claude AI into applications, implementing AI-powered features, using tool use patterns, or processing images with vision models.

Analyze LangGraph application architecture, identify bottlenecks, and propose multiple improvement strategies

This skill should be used when the user asks about "Rails testing", "RSpec", "Minitest", "request specs", "system specs", "FactoryBot", "fixtures", "test coverage", "testing controllers", "testing models", "integration tests", or needs guidance on writing effective tests for Rails 7+ applications.

Create distinctive, production-grade frontend interfaces with high design quality. Use when building web components, pages, artifacts, posters, or applications. Generates creative, polished code and UI design that avoids generic AI aesthetics.

Check and create virtual environments for projects that need them. Use when starting Python/Node projects, or when dependency isolation is needed. Activates for Python, Node.js, and similar ecosystems.

Build and deploy this Next.js LangChain retrieval agent application with Supabase vector store. Use when building, deploying, setting up vector store, or preparing the project for production.

Generate creative coding art using Canvas, SVG, WebGL, and generative algorithms. Use when creating algorithmic art or generative designs.

Generate behavioral unit tests from functional specifications using PreDB/PostDB pattern. Use when user provides specs with PreDB/Workflow/PostDB structure or asks to write tests for a specification before implementation (TDD approach).

Python testing framework for writing simple, scalable, and powerful tests

Complete end-of-session workflow for SheldonFS project. Handles code commits, quality checks, documentation updates, and merge process. Use when finishing a development session or feature branch.

Comprehensive security scanning examples with SAST (CodeQL), dependency scanning, container vulnerability detection (Trivy), and SARIF upload to GitHub Security tab.

Use when designing animations for shopping apps, product catalogs, checkout flows, or retail experiences

Generate an implementation plan for new features or refactoring existing code.

Code complexity guidelines to keep cyclomatic complexity below 6 using strategy patterns or dispatch tables. Use when writing or refactoring functions with complex branching logic.

Autonomous multi-agent code evolution system for optimization problems. Use when solving complex optimization problems (packing, geometry, scheduling, search) through evolutionary approaches with multiple independent AI agents. Multi-start hybrid heuristic+SLSQP methods significantly outperform single approaches. Triggers include genetic algorithms, evolutionary optimization, multi-agent problem solving, parameter tuning at scale, AlphaEvolve-style research, or evolving code solutions across generations.

Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)