Explore our collection of Agent Skills to enhance your AI workflow.
Audits and refactors CSS to ensure strict compliance with BEM methodology and design system tokens.
Translates English technical articles and documentation into engaging Simplified Chinese while preserving original Markdown formatting.
Identifies the Rails framework version in a project to ensure version-accurate code generation and documentation.
Architects standardized Claude Code plugins using optimized directory layouts and manifest-driven configurations.
Implements adaptive learning and high-speed memory patterns for self-improving Claude Code agents using AgentDB.
Automates the end-to-end Git workflow by staging changes, committing with AI-enhanced messages, and generating structured pull requests.
Guides users through structured bug reporting and automatically creates well-classified issues in Linear.
Fetches precise API documentation, method signatures, and usage examples directly from official Ruby on Rails reference guides.
Streamlines GitLab CI/CD troubleshooting by monitoring pipeline statuses and analyzing job logs directly within Claude Code.
Streamlines the integration of Model Context Protocol (MCP) servers into Claude Code plugins to expand AI tool capabilities.
Automates task routing between specialized AI agents using natural language rules and file pattern matching.
Manages a persistent, organized memory space to preserve technical insights, architectural decisions, and research findings across multiple Claude sessions.
Enables high-fidelity internal reasoning and deliberation for complex problem-solving tasks using Claude's extended thinking mode.
Ensures Python code excellence by running automated linting, type checking, unit tests, and AI-driven code simplification.
Streamlines the pull request lifecycle through standardized Jira integrations, branch naming conventions, and comprehensive review templates.
Streamlines Kubernetes application management through Helm chart development, deployment, and release lifecycle orchestration.
Deploys production-ready FastAPI applications using optimized multi-stage Docker builds and robust Kubernetes orchestration patterns.
Facilitates seamless inter-agent communication and multi-agent coordination using the Synapse A2A protocol.
Orchestrates multi-agent AI ensembles to generate, refine, and finalize comprehensive implementation plans for complex software tasks.
Manages MongoDB Atlas clusters, designs schemas, and optimizes complex aggregation pipelines for high-performance applications.
Performs systematic evaluations of code changes using standardized checklists for security, performance, accessibility, and quality.
Initializes a Ruby Sinatra environment with step-by-step guidance for beginner-friendly web application development.
Enforces standardized dbt coding conventions and validates model structures across staging, integration, and warehouse layers.
Recommends sharding, caching, and replication patterns to scale Cloudflare architectures for high-traffic environments.
Builds production-ready Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.
Conducts live diagnostic audits of Cloudflare services to validate infrastructure performance, costs, and security against production data.
Scaffolds production-ready Cloudflare Workers using Hono, Drizzle ORM, and TypeScript best practices.
Analyzes Cloudflare architectures to predict monthly expenditures and provide actionable cost-saving recommendations based on 2026 pricing.
Automates the creation of isolated git worktrees and feature branches to enable parallel development workflows within Claude Code.
Automates the creation of comprehensive Storybook CSF 3.0 stories with integrated interaction and accessibility tests.
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