Explore our collection of Agent Skills to enhance your AI workflow.
Archives completed development specifications from active directories to a historical archive while maintaining documentation status and indices.
Conducts interactive GitHub Pull Request reviews with inline comments, structured summaries, and context-aware feedback.
Automates complex GitHub Actions workflows and repository management using AI-driven swarm coordination.
Standardizes the creation and organization of Claude Code plugins using a structured directory layout and manifest configuration.
Implements a disciplined, four-phase debugging methodology to identify root causes and eliminate recurring software bugs.
Guides the selection and implementation of software architecture patterns like Clean, Hexagonal, and Microservices based on project requirements.
Conducts deep technical research into libraries and APIs by analyzing real-world GitHub implementations and official documentation.
Generates high-fidelity visual art and design documents using bespoke design philosophies and meticulous craftsmanship.
Transitions technical specifications from draft status to active implementation readiness by validating markers and updating metadata.
Performs comprehensive, multi-perspective code reviews using parallel AI subagents to ensure production-grade quality and security.
Integrates Claude with the DNAnexus cloud platform to build genomics pipelines, manage biomedical data, and automate workflows using the dxpy SDK.
Designs and implements resilient distributed workflows using Temporal to orchestrate complex microservice architectures.
Synchronizes specification documents and task lists with the actual project state by analyzing git history and working directory changes.
Generates comprehensive, structured specification documents and task tracking frameworks for complex software development projects.
Streamlines the development and management of genomics pipelines on the DNAnexus cloud platform.
Migrates codebase model strings and optimizes prompts for the Claude Opus 4.5 transition across major cloud platforms.
Synthesizes high-level architectural decisions by merging insights from multiple specialized AI agent perspectives.
Searches Haskell APIs by function name or type signature to streamline functional programming workflows.
Ensures codebase reliability and agent output quality through automated truth scoring, security verification, and git-powered rollbacks.
Transforms technical Git commit history into polished, user-friendly release notes and changelogs automatically.
Facilitates structured design sessions to transform rough ideas into validated architectural plans before any code is written.
Automates the end-to-end pull request review process with specialized AI agents and iterative issue fixing.
Implements robust secrets management workflows and security best practices for CI/CD pipelines and cloud environments.
Integrates Benchling’s life sciences platform with Claude to automate laboratory workflows, manage biological registry entities, and sync inventory data via API.
Empowers Claude with image generation, real-time social data, and multi-model routing using autonomous micropayments.
Provides comprehensive guidance and best practices for designing, building, and scaling production-grade AI systems and machine learning pipelines.
Streamlines GitHub issue triaging and community management for the Positron repository through automated analysis and response drafting.
Streamlines GitHub issue triage and community management for the Positron repository through standardized workflows and response drafting.
Optimizes multi-agent development by matching specific coding tasks to the most cost-effective and capable LLMs using real-time research.
Explains complex code snippets using relatable analogies, ASCII diagrams, and conversational step-by-step walkthroughs.
Scroll for more results...