Explore our collection of Agent Skills to enhance your AI workflow.
Implements a robust Redis-based mechanism for gracefully stopping and managing the lifecycle of AI agent workflows.
Streamlines building, debugging, and scaling Next.js applications using the Payload CMS framework.
Discovers, retrieves, and installs reusable AI capabilities to extend Claude's core functionality within your development environment.
Streamlines the creation of high-performance TypeScript command-line interfaces using the Bun runtime.
Orchestrates multi-agent workflows by decomposing complex tasks into parallel subtasks and managing secure agent communication.
Manages, extracts, and generates PDF documents programmatically using Python libraries and high-performance CLI tools.
Analyzes codebase architecture and design patterns using semantic indexed memory to map system boundaries and dependencies.
Integrates Claudish model recommendations into Claude Code to dynamically query OpenRouter model data and metadata.
Automates the synchronization of OpenAPI specifications with React frontends using Apidog MCP for type-safe API client generation.
Optimizes React applications through production-ready performance patterns, accessibility standards, and comprehensive security hardening.
Performs deep test coverage analysis and QA audits using semantic indexed memory to identify missing edge cases and test quality issues.
Standardizes AI agent behaviors with proven templates for model proxying, workflow tracking, and automated quality assurance.
Automates UI testing and visual design validation using Chrome DevTools and AI-powered visual analysis.
Implements robust error-handling patterns for multi-agent workflows to ensure graceful recovery from timeouts, API failures, and partial successes.
Investigates complex codebases using semantic search and indexed memory to map data flows, side effects, and implementation details.
Verifies environment requirements and provides guided setup for Chrome DevTools and OpenRouter API dependencies.
Optimizes codebase exploration by intelligently routing semantic queries to specialized search tools instead of inefficient file reads.
Enforces architectural standards and production-grade best practices for modern React 19 Single Page Applications.
Fetches and analyzes real-time rankings of the most popular programming AI models to optimize model selection and cost.
Investigates codebase bugs and identifies root causes using advanced indexed memory and semantic behavioral search.
Orchestrates multiple specialized AI agents in parallel or sequential workflows to handle complex software development tasks.
Standardizes codebase investigation across all agent roles by mapping them to role-specific detective skills using high-speed indexed memory.
Optimizes code exploration by intercepting bulk file operations and redirecting Claude to use token-efficient semantic search.
Implements structured validation checkpoints, automated iteration loops, and user approval workflows to ensure high-quality AI outputs.
Enables Claude Code to execute tasks using alternative models like Grok, GPT-5, and Gemini through a specialized sub-agent workflow.
Powers intelligent semantic code search and codebase discovery using LLM-enriched indexing and vector matching.
Performs deep, multi-dimensional codebase audits and architectural analysis using LLM-enriched semantic memory.
Integrates Claude Code with OpenRouter models like Grok, GPT-5, and Gemini while maintaining context efficiency through sub-agent delegation.
Streamlines the plugin release lifecycle by managing version bumps, marketplace catalog updates, and standardized git tagging.
Orchestrates complex multi-phase AI workflows using TodoWrite to provide real-time progress visibility and task management.
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