Explore our collection of Agent Skills to enhance your AI workflow.
Automates the creation of standardized Makefiles with project-specific development targets for Python, Rust, and TypeScript.
Optimizes Claude's context window usage by implementing MECW principles and intelligent task decomposition to maintain peak performance.
Automates GitHub issue resolution using parallel subagents and systematic quality gates to streamline complex development tasks.
Automates systematic task implementation through checkpoint validation, progress tracking, and integrated quality gates.
Installs and manages pre-configured safety and quality guardrails for Claude Code development workflows.
Automates the generation of high-quality technical tutorials featuring terminal and browser GIF recordings.
Guides project ideation through Socratic questioning and structured constraint analysis to create comprehensive project briefs.
Replicates existing websites into production-ready Next.js 16 and Tailwind CSS v4 codebases using Firecrawl MCP.
Generates hierarchical, token-efficient documentation structures optimized for AI coding assistants to navigate and understand complex codebases.
Automates web browsers via Chrome DevTools Protocol to enable seamless web scraping, navigation, and interactive DOM exploration.
Transforms project specifications into comprehensive implementation plans featuring system architecture, task breakdowns, and sprint schedules.
Audits shell and Bash scripts for correctness, safety, and cross-platform portability to ensure reliable automation.
Transforms project briefs into structured, testable specifications using a spec-driven development methodology.
Automates the configuration and optimization of GitHub Actions CI/CD workflows for multi-language projects.
Validates Claude Code skills using a TDD-style methodology and fresh subagent instances to eliminate priming bias.
Conducts systematic architectural audits using the Functional, Practical, and Foundation (FPF) framework to evaluate system design and quality.
Optimizes tool-heavy workflows and data pipelines into efficient MCP execution patterns to maximize token savings.
Reduces Claude Code skill file size and token usage through systematic externalization and modularization.
Automates the composition of GIFs and videos into multi-pane tutorials and professional documentation assets.
Surfaces and applies proven frameworks from domain experts before building or evaluating AI skills and agents.
Identifies and eliminates codebase bloat through progressive analysis to reduce technical debt and optimize AI context usage.
Enforces safety guardrails and coding standards by creating custom behavioral rules for Claude Code.
Generates and captures SwiftUI view previews from Xcode projects or standalone files for immediate visual analysis and design feedback.
Builds SwiftUI views and captures simulator screenshots for real-time visual UI analysis and debugging within Claude.
Captures and analyzes SwiftUI previews and iOS simulator screenshots directly within your development workflow.
Automates high-quality browser session recordings and GIF conversions for web tutorials and documentation.
Monitors execution workflows for errors and inefficiencies to automatically generate actionable GitHub issues for improvements.
Streamlines product roadmapping by inventorying features and applying evidence-based prioritization frameworks like RICE, WSJF, and Kano scoring.
Manages persistent terminal sessions and parallel Claude workers via the TabzChrome REST API.
Integrates OpenAI Codex as an MCP server to provide multi-perspective, second-opinion code reviews within the Claude Code environment.
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