Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
504 skills found
Generate diverse landing page narrative angles, define target audiences, and specify required evidence for conversion-focused marketing workflows.
Automate pull request reviews with structural code analysis, blast radius assessment, and dependency impact mapping.
Manage Google Search Console indexing: track status, sync sitemaps with GSC data, handle indexing lag, and process false positives with prioritized markdown reports.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Build distinctive, production-grade frontend interfaces and web components with high aesthetic quality, avoiding generic AI design patterns.
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Three.js material library: PBR, basic, phong, shader materials, and properties. Essential for styling meshes, texture mapping, custom GLSL shaders, and optimizing 3D material performance.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
A secure Git commit workflow agent that prevents accidental mass commits and promotes surgical, file-specific staging and semantic commits.
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.