Explore our collection of Agent Skills to enhance your AI workflow.
Generates reusable, project-specific skills by analyzing a codebase for established patterns, workflows, and conventions.
Manages Confluence documentation by synchronizing Markdown files, handling large page uploads with images, and converting between Wiki Markup and Markdown formats.
Guides users through the complete lifecycle of LLM fine-tuning, from initial goal setting to selecting optimal training strategies and models.
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.
Retrieves real-time information, news, images, and videos from the web using DuckDuckGo to provide up-to-date data and resources.
Generates vector embeddings for project-local skills and agents to enable intelligent semantic search and smart routing within Claude Code.
Manages project-specific embeddings to enable semantic discovery of skills, agents, and tools within Claude Code.
Optimizes B2B lead enrichment by intelligently routing data requests across 150+ providers to maximize accuracy and minimize credit costs.
Synchronizes documentation markers by reading source-of-truth files to ensure agent counts, versions, and repository structures remain accurate.
Orchestrates efficient, scalable multi-package repositories using Turborepo, Nx, and pnpm workspaces.
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.
Organizes chaotic directories, identifies duplicate files, and establishes clean folder structures using automated shell commands.
Accelerates web development by enforcing modern standards for Next.js, TypeScript, and Tailwind CSS applications.
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.
Provides comprehensive patterns for Python-based server-side development in the Frappe Framework, including controllers, APIs, and database operations.
Implements comprehensive Python testing strategies using pytest, fixtures, and advanced mocking techniques to ensure code reliability.
Implements robust Python testing suites using pytest, advanced mocking, and test-driven development best practices.
Automates complex PDF operations including text extraction, table parsing, document generation, and form filling using Python and CLI utilities.
Analyzes and extracts insights from images, videos, audio, and PDF documents using Gemini 3 Pro's native multimodal capabilities.
Processes and analyzes multimodal inputs including images, video, audio, and PDFs using the Gemini 3 Pro model.
Provides a standardized scaffolding and structural blueprint for developing custom Claude Code skills.
Guides developers through the end-to-end process of building, testing, and evaluating high-quality Model Context Protocol (MCP) servers.
Enables the creation of platform-agnostic AI skills using a specialized template engine for multi-platform delivery.
Provides systematic techniques and diagnostic tools to identify, isolate, and resolve complex software bugs across various technology stacks.
Streamlines global application deployment and infrastructure management on Fly.io with AI-optimized configurations.
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