Search Skills

Systematically evaluates code changes for security, correctness, performance, and spec alignment to ensure high-quality software delivery.

Systematically diagnoses and resolves software bugs via root cause analysis and targeted validation to restore functionality and performance.

Provides command-line tools for deploying, managing, and monitoring applications on Railway, including environment configuration and log viewing.

Automates creation and validation of test cases to ensure code functionality meets requirements and maintains high test coverage.

Comprehensive reference for TypeScript Agent SDK functions, types, and interfaces to enable programmatic Claude Code interactions.

Manages Vercel deployments, environment variables, logs, and cron jobs via the Vercel CLI for streamlined application deployment and configuration.

Systematically traces code flows, locates implementations, and diagnoses performance issues to understand existing system architecture and answer implementation questions.

Creates and manages specialized Claude Code subagents for task-specific workflow automation, delegation, and permission configuration.

Generates structured implementation plans for complex features, refactors, and system changes by validating requirements, analyzing codebase impact, and identifying dependencies and risks.

Provides structured techniques for crafting clear and effective prompts to improve Claude's output for complex tasks, documentation, and code generation.

Automates Claude Code workflows using custom slash commands with argument passing, frontmatter configuration, and bash integration for reusable prompt development.

Coordinates concurrent task execution via agent delegation, managing dependencies and planning independent work for efficient parallel processing.

Customizes system prompts for teaching, learning, and domain-specific workflows beyond software engineering.

Guides users in creating, understanding, and organizing reusable Skills to extend Claude's functionality through structured expertise packaging.

Maintains project documentation (feature specs, API contracts, README) in sync with code changes, ensuring accuracy and completeness.

Teaches best practices for creating clear and effective documentation and instructions for Large Language Models, emphasizing examples and feedback loops.

Provides required structure, frontmatter format, and best practices for SKILL.md files to ensure consistent documentation across all skills.

Performs systematic code analysis to identify and remediate vulnerabilities, supporting security assessments, compliance validation, and incident response.

Emulates the user's personal writing voice and style to draft documents, compose messages, and create content as requested.

Enables task-specific AI assistants with context separation, delegation learning, and tool configuration best practices.

Creates LLM-optimized documentation for code, APIs, and features with clear structure, examples, and anti-pattern avoidance for better comprehension.

Provides a guide for creating or updating Claude skills with specialized knowledge, workflows, or tool integrations.

Enables creation, execution, and debugging of integration tests for detecting prompt injection vulnerabilities in AI applications.

Generates conventional Git commits for the MCPSpy project, managing staging and commit operations.