Explore our collection of Agent Skills to enhance your AI workflow.
Organizes complex AI coding tasks across multiple projects using persistent markdown state and a coordinator pattern.
Automates the process of addressing review comments and synchronizing stacked pull requests using the Graphite CLI.
Automatically synchronizes CLAUDE.md documentation files with your latest staged git changes to ensure project context stays current.
Orchestrates multiple specialized AI agents to perform concurrent security, architecture, and performance reviews on code changesets.
Analyzes and documents existing codebases to map architecture, data flows, and implementation patterns.
Orchestrates sophisticated code transformations and design pattern applications using multi-agent coordination and safety-first validation.
Orchestrates and secures development environments using the mise, fnox, and Infisical secrets management toolchain.
Refines complex development plans through multi-round collaborative discussions among specialized AI expert agents.
Optimizes Claude's context window by implementing progressive disclosure and hierarchical indexing for large MCP tool collections.
Automates the resolution of GitHub pull request feedback and CI/CD pipeline failures to streamline the merging process.
Automates release versioning, changelog generation, and tag management for consistent project delivery.
Automates end-to-end deployment pipelines, infrastructure provisioning, and CI/CD workflows for multi-environment software releases.
Generates comprehensive unit, integration, and end-to-end tests using advanced strategies like property-based and mutation testing.
Generates structured, conventional git commit messages by analyzing repository changes and historical patterns.
Refines and enhances AI prompts using advanced engineering techniques to improve performance, reduce token costs, and ensure model-specific accuracy.
Conducts deep research into external documentation and industry best practices while cross-referencing findings with your internal codebase.
Integrates Uniswap protocol swap functionality into web applications, backend scripts, and smart contracts using the Trading API and Universal Router.
Generates automated daily standup reports by aggregating development activity from GitHub and project tasks from Linear.
Optimizes and clarifies Linear task descriptions by analyzing codebase context and generating structured acceptance criteria.
Executes technical implementation plans step-by-step, automating file changes, testing, and progress tracking within AI-assisted development workflows.
Automates the creation and updating of pull requests using conventional commits and detailed AI-generated descriptions.
Streamlines the configuration and authentication of GitHub Personal Access Tokens for the GitHub MCP server in Claude Code.
Automates the entire software development lifecycle from requirements and design to implementation using autonomous multi-agent collaboration.
Generates detailed, multi-agent refined implementation plans for complex software features and architectural changes.
Automates the complete development lifecycle from Linear issue analysis to pull request creation using a test-driven approach.
Streamlines data transformation and analytics engineering workflows by applying software engineering best practices to dbt projects.
Migrates dbt Core projects to the dbt Fusion engine by resolving compatibility errors, deprecations, and unsupported configurations.
Generates and refactors high-quality RSpec test suites for Ruby on Rails applications using industry-standard best practices.
Transforms raw meeting transcripts into structured documentation with summaries, action items, and YAML metadata.
Optimizes Claude's ability to retrieve and search dbt Cloud, Core, and Semantic Layer documentation in LLM-friendly Markdown format.
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