Explore our collection of Agent Skills to enhance your AI workflow.
Accelerates new project initialization by providing research-backed technology templates and structured decision guidance for Claude Code.
Captures and indexes architectural decisions, research findings, and technical learnings for long-term project knowledge.
Generates project-specific Model Context Protocol (MCP) servers to provide Claude with customized development tools and semantic search capabilities.
Conducts user-centered research and generates data-driven experience design assets including personas, journey maps, and usability frameworks.
Streamlines the creation, management, and optimization of Docker containers and multi-stage builds.
Generates vector embeddings for project-local skills and agents to enable intelligent semantic search and smart routing within Claude Code.
Performs comprehensive, multi-stage security audits of Solidity smart contracts using parallelized analysis and human-in-the-loop review.
Manages project-specific embeddings to enable semantic discovery of skills, agents, and tools within Claude Code.
Synchronizes documentation markers by reading source-of-truth files to ensure agent counts, versions, and repository structures remain accurate.
Analyzes and validates complex task dependency networks to identify critical paths, detect cycles, and optimize execution order.
Captures comprehensive bug context and automates issue reporting to streamline debugging and documentation workflows.
Automatically generates and synchronizes plugin documentation by analyzing codebase structure and component metadata.
Analyzes unfamiliar codebases to map architecture, identify patterns, and uncover improvement opportunities.
Provides a standardized boilerplate and workflow structure for building custom Claude Code skills.
Generates comprehensive SEO meta tags, social sharing cards, and JSON-LD structured data to maximize search visibility.
Organizes chaotic directories, identifies duplicate files, and establishes clean folder structures using automated shell commands.
Automates the sequential execution of predefined operational procedures and multi-step commands directly within Claude Code.
Generates structured, modular Product Requirement Documents (PRDs) from initial product concepts or feature descriptions.
Builds specialized Model Context Protocol (MCP) servers to enable AI agents to interact with Slack APIs and manage canvases.
Generates production-ready, executable utility scripts in Bash, Python, or JavaScript/TypeScript with best practices built-in.
Manages the activation state of automated workflows by enabling or disabling specific runbooks via the command line.
Automates semantic versioning updates across multiple project configuration files and programming languages.
Automates the generation and maintenance of project changelogs using git-cliff and conventional commit history.
Implements high-performance, Rust-powered tokenization for training and deploying custom NLP models with speed and precision.
Guides developers through ambiguous requirements using a structured Q&A framework to transform vague ideas into actionable project plans.
Automates the job search and resume tailoring process by matching your professional profile to high-relevance AI engineering roles.
Automates codebase analysis and task planning by generating high-fidelity prompts and executing them directly upon user approval.
Automates the process of replying to and resolving GitHub pull request review comments based on code changes and commit history.
Automates the end-to-end process of committing changes, pushing to remotes, and opening platform-specific pull requests.
Generates comprehensive, context-aware prompts for Claude Code by deep-scanning codebase architecture and user intent.
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