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bun-macros
Bun Macros enables compile-time JavaScript execution that inlines results into bundled code, allowing for environment variable embedding, file content inclusion, build-time code generation, and other optimizations during the bundling process.
cloudflare-workers-ai
This skill provides a complete reference for using Cloudflare Workers AI to run serverless GPU inference, including LLMs, text/image generation, embeddings, and handling common errors and rate limits.
elevenlabs-agents
Imported from https://github.com/secondsky/claude-skills.
cloudflare-full-stack-scaffold
A production-ready starter template for building full-stack applications on Cloudflare, featuring React, Hono, and pre-configured services (D1, KV, R2, Workers AI) with AI SDK integration to accelerate development and prevent common setup errors.
api-testing
HTTP API testing for TypeScript (Supertest) and Python (httpx, pytest). Test REST APIs, GraphQL, request/response validation, authentication, and error handling.
cloudflare-workers-ci-cd
This skill provides a complete CI/CD guide for automating Cloudflare Workers deployments using GitHub Actions and GitLab CI. It enables automated testing, multi-environment deployments, preview environments, secure secrets management, and helps prevent common deployment failures and errors.
cloudflare-kv
This skill provides comprehensive guidance for using Cloudflare Workers KV, a global key-value storage service. It covers setup, core operations (put, get, delete, list), best practices, and critical rules for handling consistency, TTL, rate limits, and common errors to optimize edge caching and data management.
coordinator
A planning tool for multi-coordinator workflows that validates configurations, allocates resources, maps dependencies, and creates risk-based rollout strategies. It focuses on preventing execution failures through systematic pre-flight checks and phased deployment planning.
cfn-config
Consolidates two existing configuration skills into a single package for managing config files and sanitizing environment variables. Provides clear migration paths and directory structure for existing users. Focuses on practical configuration handling tasks.
compression-progress
Implements Schmidhuber's compression progress theory as intrinsic reward for AI agents. Provides Python code examples for curious agents, creativity generation, and curriculum selection based on compression improvement rates. Includes command-line tools for measuring progress and visualizing learning trajectories.
latex-overleaf-js-rendering-issue-20251231
Provides structured access to Overleaf's LaTeX documentation through categorized reference files. Helps users find specific LaTeX formatting, math typesetting, and document structure information without leaving Claude. Useful for quick lookups while writing academic papers or technical documents.
course-help
Provides structured navigation and progress tracking for the Claude Code Course. Guides users through 5 hands-on lessons with clear commands like /ccc:course and /ccc:lesson. Saves progress locally and offers practice tasks in the terminal.
ui-generator
Generates React/Next.js UI components from natural language descriptions. Integrates with theme-factory for consistent styling, produces Tailwind CSS code, and provides immediate browser previews for common page types like login, dashboard, and pricing pages.
cascade-orchestrator
Coordinates multiple Claude micro-skills into sequential or parallel workflows with conditional logic. Integrates Codex sandbox for auto-fixing test failures and routes tasks to different AI models (Gemini/Codex) based on task requirements. Supports swarm coordination via ruv-swarm MCP for parallel execution.
design-tokens-validator
Scans source code files across multiple platforms (CSS, SwiftUI, Unity) to detect hard-coded design values like colors and spacing. Suggests replacements with official design system tokens to enforce consistency. Includes command-line tool and clear detection examples for different file types.
skill-creator
Provides a structured guide for creating Claude skills, covering core principles, file structure, and development process. It helps users extend Claude with specialized workflows and tool integrations.
ux-sequence-diagram
Generates ASCII sequence diagrams for visualizing user-system interactions and API call flows. Shows participants, message types, and timing in text format. Useful for documenting interaction patterns without graphical tools.
prd-writer
Generates structured Product Requirements Documents from initial feature prompts. Asks clarifying questions first, then creates markdown files with standard PRD sections. Targets junior developers with clear templates.
aesthetic-form-composition
Analyzes visual compositions by examining eye paths, balance, rhythm, layering and proportions. Outputs structured compositional rules as Memo nodes for design reference. Useful for designers analyzing existing layouts or creating new visual systems.
testing-patterns
Provides concrete testing patterns for a specific project (ActionPhase), covering backend Go unit tests, React component tests, and Playwright E2E tests. It enforces a strict workflow where E2E tests are written last, after unit, API, and component tests pass. Includes specific commands, fixture data, and anti-pattern examples.
ai-multimodal
Provides CLI tools to process audio, images, videos, and documents using Google Gemini API, with batch processing, media optimization, and content generation capabilities. Includes practical scripts for transcription, analysis, and image/video creation.
skill-creator
Provides structured guidance for creating Claude Skills with clear directory organization, progressive disclosure patterns, and concrete examples for scripts, references, and assets. Helps developers package specialized workflows efficiently.
code-review
This skill enforces strict code review protocols for Claude, banning performative agreement and requiring evidence before completion claims. It provides concrete decision trees for receiving feedback, requesting reviews via subagent, and implementing verification gates. The approach targets common AI pitfalls in technical review processes.
langchain-architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.