Explore our collection of Agent Skills to enhance your AI workflow.
Performs deep Abstract Syntax Tree analysis to map code structures, track dependencies, and detect architectural patterns.
Transforms UI screenshots into standardized uxscii components and screens using automated vision analysis and multi-agent orchestration.
Enforces strict tool usage protocols, documentation consistency, and autonomous error recovery for Claude Code operations.
Automates comprehensive web page validation, including JavaScript error detection, authentication handling, and responsive design testing across 14 device presets.
Analyzes codebase structure and complexity to identify refactoring opportunities and technical debt.
Progressively enhances ASCII UI components from low-fidelity sketches to production-ready design specifications.
Optimizes autonomous agent performance and resource allocation across multiple LLM models to ensure efficiency and quality.
Automates complex Git workflows including intelligent branching, semantic commit optimization, and end-to-end release management.
Generates distinctive, production-grade frontend interfaces that escape generic AI aesthetics through bold design thinking and meticulous implementation.
Automates the creation of high-quality product requirements documents, research plans, and project briefs using the Gemini CLI.
Initializes projects with the AgenticDev spec-driven directory structure and documentation workflow.
Automates the transition from GitHub issues to implementation by generating context-aware plans and isolated feature branches.
Generates structured UI components using the UXSCII standard to bridge the gap between AI design systems and human-readable documentation.
Transforms generic AI-generated interfaces into polished, distinctive frontend designs using professional typography, color theory, and motion principles.
Implements OWASP-compliant security measures and defensive coding patterns to protect applications from critical vulnerabilities.
Validates complex multi-tier applications by performing parallel cross-component checks across frontend, backend, database, and infrastructure layers.
Automates project-specific pattern recognition and retrieval to optimize Claude's execution strategy through continuous self-learning.
Builds production-ready, accessible web applications using the React, Tailwind CSS, and shadcn/ui stack.
Enforces code quality benchmarks and language-specific standards to ensure production-ready, maintainable codebases.
Standardizes communication, knowledge sharing, and feedback loops between specialized AI agent groups in a four-tier architecture.
Standardizes Git commit messages using a structured format to ensure clarity, consistency, and automated-friendly history.
Transforms raw meeting transcripts into structured notes with summaries, action items, and YAML metadata for personal knowledge management systems.
Facilitates deep context retrieval and architectural understanding by querying project history, coding patterns, and documentation before implementing changes.
Migrates existing project documentation into the AgenticDev structure using AI-powered analysis and intelligent link correction.
Registers and updates AgenticDev skills within a central AGENTS.md file to enable seamless discovery and usage by AI agents.
Indexes project documentation by scanning YAML frontmatter to provide instant context without exhausting the token window.
Integrates the Playgama Bridge SDK into Godot projects to enable cross-platform publishing, monetization, and social features for web-based games.
Optimizes React applications by providing authoritative guidance on writing minimal, efficient hooks and eliminating common anti-patterns.
Automates post-merge repository cleanup, documentation updates, and project management tasks to maintain a clean development workflow.
Discovers and lists all available AgenticDev skills within a project to provide immediate bootstrap context for AI agents.
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