
π―Skills55
Automates TypeScript configuration with linting, type safety rules, and best practices for scalable, maintainable JavaScript projects.
Evaluates AI agent performance through comprehensive metrics, benchmarking, and systematic analysis of response quality, accuracy, and contextual understanding.
Executes complex tasks with built-in self-evaluation, providing step-by-step reasoning and quality assessment of the generated output.
Generates structured CLI commands with intelligent parsing, validation, and interactive prompts for complex command-line tool development
Manages Git worktrees to efficiently handle multiple branches and parallel development workflows without switching contexts
Automatically links code reviews to pull requests, streamlining collaboration and tracking feedback across GitHub repositories.
Guides developers through writing automated tests before code, ensuring robust, modular software design and preventing regressions.
Rapidly brainstorm and generate innovative concepts across domains by leveraging structured ideation techniques and creative prompting strategies.
Designs scalable system architectures, evaluates design patterns, and provides architectural recommendations for complex software projects.
Provides deep contextual reasoning and explanation generation for complex problems, breaking down root causes and logical connections.
Generates comprehensive unit, integration, and end-to-end test suites with best practices, covering edge cases and ensuring robust code quality across different frameworks.
Enables systematic cognitive decomposition of complex problems through structured reasoning frameworks, logical inference chaining, and meta-cognitive analysis techniques.
Generates comprehensive self-analysis and introspective insights about Claude's current context, reasoning, and potential biases during conversation.
Generates comprehensive project roadmaps with detailed milestones, resource allocation, risk assessment, and actionable implementation strategies.
Evaluates code quality, complexity, and potential issues by analyzing syntax, design patterns, and best practices across multiple programming languages.
Craft precise, context-aware AI prompts with advanced techniques to optimize language model performance and generate high-quality, targeted responses.
Automates comprehensive test case generation, coverage analysis, and quality assurance strategies for software development projects.
Dynamically spawns specialized sub-agents with targeted capabilities to break down complex tasks and enhance collaborative problem-solving
Compares and analyzes Git worktrees to identify differences, track changes, and optimize workspace management across multiple branches.
Guides systematic problem-solving and continuous improvement through iterative planning, execution, evaluation, and refinement cycles.
Diagnose software issues by systematically breaking down error logs, stack traces, and system context to identify root causes and recommend targeted solutions.
Automatically configures and applies consistent code formatting rules across multiple programming languages and project types.
Performs comprehensive code analysis, identifying complexity, potential bugs, performance bottlenecks, and architectural insights across multiple programming languages.
Helps users distill complex text into clear, succinct prose by identifying unnecessary words and restructuring sentences for maximum impact.
Quickly capture, organize, and retrieve structured notes with markdown support, tagging, and semantic search capabilities.
Configures multi-context processing environments with advanced setup protocols for complex machine learning and data engineering workflows.
Designs and implements collaborative AI agent interaction strategies, enabling complex task decomposition and coordinated problem-solving across multiple specialized agents.
Facilitates nuanced decision-making by generating balanced arguments, evaluating perspectives, and providing structured reasoning for complex choices.
Continuously improves code quality and development processes through iterative feedback, refactoring suggestions, and performance optimization recommendations.
Generates creative problem-solving strategies, structured ideation frameworks, and innovative solution pathways through systematic thought exploration
Automates GitHub pull request creation with customizable templates, branch management, and review assignment for streamlined collaborative development.
Breaks down complex problems into structured components, identifies root causes, and provides systematic analysis frameworks for effective problem-solving strategies.
Generates structured, semantic Git commit messages with conventional commit standards, improving code documentation and changelog generation.
Explores complex problem-solving by generating and evaluating multiple reasoning paths to find optimal solutions through systematic thought exploration.
Provides structured, constructive code review feedback with detailed analysis of potential improvements, design patterns, and best practices.
Automates documentation updates by scanning code changes, generating markdown, and synchronizing API references across project repositories
Reviews and analyzes local code modifications, providing detailed insights on staged and unstaged changes in Git repositories.
Creates and manages Git worktrees for parallel development, enabling efficient context switching and workspace organization across multiple branches.
Automates comprehensive pull request reviews, analyzing code quality, potential bugs, security risks, and suggesting improvements with detailed feedback.
Systematically traces and analyzes complex system failures by mapping causal relationships, dependencies, and root cause factors across technical and organizational domains.
Streamlines Git worktree management by intelligently merging and synchronizing multiple working tree branches with conflict resolution strategies.
Analyzes complex scenarios to map causal relationships, identify root causes, and predict potential downstream impacts across systems and interactions.
Streamlines arXiv machine learning paper retrieval, preprocessing, and context extraction for advanced research and AI model training workflows.
Configures and initializes Serena MCP environment with automated setup, configuration validation, and dependency management for enterprise software deployment.
Automates Minecraft Pocket Edition (MCPE) mod creation, compilation, and packaging for seamless plugin development and distribution.
Retrieves and parses GitHub issues from a repository, extracting key details for context analysis and project tracking
Quickly create and organize tasks with structured metadata, priority levels, and contextual tagging for enhanced productivity tracking.
Automatically diagnoses and repairs broken test cases, suggesting code fixes and identifying potential testing gaps in software projects.
Quickly store, retrieve, and manage contextual information across conversations with intelligent memory management techniques
Initializes and configures CodeMap CLI for generating comprehensive code visualization and dependency mapping across software projects.
Strategically analyze and optimize competitive scenarios by evaluating performance metrics, market positioning, and strategic advantages.
Generates clean, modular implementation code for software design patterns, architectural components, and complex system structures with best practices.
Executes multiple tasks concurrently, optimizing performance by distributing workloads across threads or processes with intelligent resource management.
Orchestrates collaborative AI subagents to break down complex software development tasks into modular, manageable workflows with dynamic role assignment and iterative problem-solving.
Breaks down complex tasks into manageable, sequential steps with clear instructions and error handling for systematic problem-solving.