探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Conducts deep research into external documentation and industry best practices while cross-referencing findings with your internal codebase.
Refines and enhances AI prompts using advanced engineering techniques to improve performance, reduce token costs, and ensure model-specific accuracy.
Implements a strict Red-Green-Refactor cycle for disciplined Test-Driven Development within Claude Code.
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.
Automates the entire software development lifecycle from local git commits to GitHub PR creation and Docker deployment.
Migrates dbt Core projects to the dbt Fusion engine by resolving compatibility errors, deprecations, and unsupported configurations.
Organizes complex AI coding tasks across multiple projects using persistent markdown state and a coordinator pattern.
Streamlines data transformation and analytics engineering workflows by applying software engineering best practices to dbt projects.
Simplifies the creation and management of dbt Semantic Layer components including semantic models, metrics, and dimensions.
Optimizes Claude's ability to retrieve and search dbt Cloud, Core, and Semantic Layer documentation in LLM-friendly Markdown format.
Orchestrates multiple specialized AI agents to perform concurrent security, architecture, and performance reviews on code changesets.
Transforms raw meeting transcripts into structured documentation with summaries, action items, and YAML metadata.
Diagnoses and resolves failures in dbt Cloud and platform jobs using systematic workflows and root cause analysis.
Standardizes Git commit messages using the Conventional Commits specification for improved project history and automation.
Generates professional Excalidraw architecture diagrams and system visualizations directly from codebase analysis.
Automates the creation and management of Teachable online courses through browser automation and AI-driven content integration.
Answers complex business questions by intelligently navigating dbt semantic layers, models, and project artifacts.
Guides the configuration and troubleshooting of dbt MCP server connections for AI-powered data engineering and analytics workflows.
Integrates EVM-compatible blockchains into TypeScript and JavaScript applications using the viem library for efficient data retrieval and transaction management.
Guides creators through the end-to-end YouTube lifecycle from validated ideation and packaging to high-retention scripting and post-production.
Automates the execution of specification-driven development tasks using multi-agent coordination and quality gates.
Optimizes Claude's context window by implementing progressive disclosure and hierarchical indexing for large MCP tool collections.
Automates the process of addressing review comments and synchronizing stacked pull requests using the Graphite CLI.
Automates the complete development lifecycle from Linear issue analysis to pull request creation using a test-driven approach.
Generates detailed, multi-agent refined implementation plans for complex software features and architectural changes.
Automatically synchronizes CLAUDE.md documentation files with your latest staged git changes to ensure project context stays current.
Performs comprehensive, multi-agent code reviews focusing on architecture, security, performance, and style consistency.
Optimizes OCaml applications using Jane Street extensions for stack allocation, unboxed types, and SIMD-driven parallelism.
Automates the entire software development lifecycle from requirements and design to implementation using autonomous multi-agent collaboration.
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