Explore our collection of Agent Skills to enhance your AI workflow.
Guides developers through creating, structuring, and optimizing specialized skills for Claude Code plugins using modular design and progressive disclosure.
Provides comprehensive guidance and best practices for creating autonomous agents within Claude Code plugins.
Transforms complex tool chains and large datasets into optimized MCP execution patterns to minimize token usage and prevent context overflow.
Simplifies the integration of Model Context Protocol (MCP) servers into Claude Code plugins for seamless external service connectivity.
Configures Claude Code tool permissions and security rules to control access to files, commands, and web tools.
Generates Ruby and ActiveRecord commands to create and test PostgreSQL hypothetical indexes using the HypoPG extension.
Standardizes Git commit messages using the Gitmoji convention and professional formatting best practices.
Builds and configures event-driven automation hooks for Claude Code plugins to validate tool use and enhance workflow safety.
Transforms vague project ideas into structured technical designs through iterative questioning and comparative approach analysis.
Enforces a strict Red-Green-Refactor workflow to ensure high-quality, verified code implementation for every feature and bugfix.
Provides a standardized template and best practices for developing custom Claude Code plugin skills.
Identifies and eliminates codebase bloat, technical debt, and redundant documentation through progressive static analysis.
Refactors source code to enhance readability, maintainability, and architectural structure without altering external behavior.
Refines vague or ambiguous prompts through systematic research and targeted user clarification before execution.
Guides the implementation of secure, modern Stripe payment integrations using current API standards and best practices.
Optimizes Claude's token usage and manages API quotas through intelligent context planning and task delegation.
Automates the Specification-Driven Development (SDD) process to generate comprehensive, multi-agent reviewed architectural plans.
Manages Python packages, projects, and environments using the high-performance Rust-based uv toolset.
Captures and codifies non-obvious debugging insights and codebase-specific heuristics into reusable AI skills.
Enables natural language, concept-based searching across complex codebases using semantic vector indexing.
Integrates Google's Gemini AI models into Claude Code for cross-model reasoning and advanced code generation.
Optimizes shell scripts by identifying performance bottlenecks, enforcing modern standards, and consolidating redundant logic.
Removes patterns of AI-generated writing and injects natural human voice and personality into text.
Optimizes Claude's workflow by dispatching multiple concurrent subagents to handle independent tasks simultaneously.
Automatically replaces legacy CLI tools with high-performance, modern alternatives like Bun, Ruff, and Ripgrep in generated code.
Analyzes and optimizes full-stack application performance across frontend, backend, and database layers to reduce latency and improve user experience.
Optimizes Claude's decision-making process by determining when to act autonomously and when to pause for clarification.
Enforces software design excellence by applying KISS, YAGNI, and SOLID principles to reduce technical debt and improve maintainability.
Reduces Claude Code skill file size and token usage through systematic refactoring, externalization, and modularization patterns.
Streamlines frontend development by providing production-grade patterns for type-safe, accessible, and reusable React components.
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