探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Refines raw ideas through Socratic questioning, multi-perspective analysis, and deep research to prepare concepts for implementation planning.
Guides developers in building and extending production-ready to-be-continuous components for GitLab CI/CD following ecosystem best practices.
Streamlines the creation of production-grade GitLab CI/CD pipelines using the modular To-Be-Continuous (TBC) framework.
Automates the extraction and regeneration of JSON schemas from the To-Be-Continuous Kicker source to maintain accurate GitLab CI/CD template validation.
Facilitates the creation, validation, and documentation of production-ready subagents for Claude Code using structured schemas and protocol specifications.
Transforms conversation history and debugging sessions into structured, reusable skills using AI-driven pattern extraction.
Configures specialized AI personalities with custom tools, models, and permission settings to automate complex development workflows.
Configures GitLab CI pipelines to build and scan multiple Docker images in parallel using the To-Be-Continuous Docker template.
Evaluates GitLab To-Be-Continuous (TBC) templates and components to determine the most efficient, framework-aligned approach for CI/CD requirements.
Analyzes code structure, patterns, and quality to identify potential issues and architectural improvements without modifying source files.
Conducts thorough, systematic investigations across multiple sources to synthesize evidence-based conclusions on complex technical, business, or academic topics.
Conducts comprehensive audits of codebases to evaluate structure, technology stacks, documentation quality, and overall maintainability.
Discovers Adobe-vetted and community-driven reference implementations for AEM Edge Delivery blocks, plugins, and integration patterns.
Streamlines the development of specialized Claude skills using modular architecture and progressive disclosure patterns.
Provides a standardized framework and structural components for developing specialized cybersecurity capabilities for the Claude ecosystem.
Applies Test-Driven Development principles to skill documentation by running baseline tests and measuring compliance through automated subagent workflows.
Formalizes identified tasks, bugs, and feature requests into structured issues with comprehensive metadata using the Wrangler MCP management system.
Provides a complete, self-contained template for building applications with best practices for setup, database integration, testing, and deployment.
Illustrates common architectural mistakes and violations of the self-containment principle to avoid when creating modular Claude Code skills.
Analyzes project code structure and file distribution to generate comprehensive statistical reports and structural summaries.
Streamlines the process of contributing broadly useful skills back to upstream repositories through a standardized Git and GitHub PR workflow.
Creates distinctive, production-grade frontend interfaces that avoid generic aesthetics through bold design choices and high-quality code.
Applies Test-Driven Development principles to the creation and refinement of process documentation to ensure reliable AI compliance.
Automates the testing and validation of authenticated API routes using cookie-based JWT authentication and mock testing patterns.
Audits and tracks design token inconsistencies between Figma design systems and code implementations to prevent styling drift.
Manages Android data persistence using Room ORM, Jetpack DataStore, and secure storage solutions.
Implements a rigorous testing methodology for Claude skills using subagent-driven pressure scenarios and test-driven development principles.
Extracts high-value, actionable insights from technical research, design specs, and incident reports while aggressively filtering out noise and outdated information.
Guides the creation and management of Claude Code skills by enforcing Anthropic best practices and structured auto-activation patterns.
Conducts comprehensive Go code reviews by analyzing architecture, security, and test quality against idiomatic patterns and project-specific standards.
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