Explore our collection of Agent Skills to enhance your AI workflow.
Guides architectural choices for database systems, schema design, and scaling patterns to optimize performance and consistency.
Manages custom lifecycle hooks for Claude Code to automate workflows, enforce rules, and provide real-time guidance.
Performs automated code reviews via the CodeRabbit CLI to detect bugs, security issues, and performance improvements in local changes.
Validates the execution of PostToolUse hooks to ensure proper skill invocation and system integration.
Prevents reflexive agreement by enforcing a structured, multi-perspective analysis for complex technical decisions and leading questions.
Restores project continuity and working state from the Claude Journal after session resets or history clearing.
Automates the setup, validation, and execution of phylogenetic ancestral range reconstruction using BioGeoBEARS in R.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.
Provides standardized SQL templates and strategies for validating data consistency between dbt models during migrations and refactors.
Demonstrates the correct format and structure for building custom Claude Code Skills.
Processes, filters, and analyzes mass spectrometry data for metabolomics research and chemical identification.
Fetches unresolved pull request comments from GitHub to streamline the code review and feedback loop.
Automates Go project CI/CD pipelines with comprehensive GitHub Actions workflows for linting, testing, and production-ready releases.
Automates the creation of high-quality technical articles with real-world research, runnable code examples, and custom author voice matching.
Generates domain-driven application layer use cases and event listeners with automated dependency injection and orchestration logic.
Provides comprehensive patterns and best practices for building high-performance, maintainable Apple platform apps using SwiftUI and Swift.
Enables the creation and orchestration of specialized subagents for complex, autonomous multi-step development tasks.
Generates comprehensive, context-aware pull request descriptions by analyzing technical specs, git history, and implementation journals.
Generates and maintains AI-optimized project documentation using the Codebase Context Specification.
Configures and compiles the YARS robot simulator with high-performance optimizations for benchmarking and production use.
Architects intuitive, scalable, and maintainable REST and GraphQL APIs using industry-standard patterns and best practices.
Analyzes and designs offshore catenary and lazy wave riser configurations for static shape, tension, and OrcaFlex model generation.
Implements high-performance Python concurrency patterns using asyncio and non-blocking I/O for scalable applications.
Implements secure JWT-based authentication and user data isolation for FastAPI backends using shared secret protocols.
Streamlines the code review process for SwiftUI and Swift projects through a comprehensive, prioritized quality checklist.
Automates security scanning, compliance validation, and infrastructure provisioning for production-grade software environments.
Eliminates over-engineering in Rust code by reducing excessive abstractions and prioritizing maintainability.
Generates precise, reference-backed technical documentation and data flow analysis for existing codebases.
Eliminates flaky tests by replacing arbitrary delays with reliable condition-based polling logic.
Researches external concepts and transforms findings into structured analysis and searchable project memory.
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