探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Orchestrates complex problem-solving by applying 200+ specialized patterns and diverse reasoning strategies to any task.
Processes, analyzes, and generates audio, video, image, and document content using Google Gemini's powerful multimodal API.
Automates browser interactions, performance analysis, and web scraping using Puppeteer-based CLI scripts.
Standardizes error handling, duplicate detection, and metadata management across GitHub-based project requirement workflows.
Simplifies database schema design, query optimization, and administration for MongoDB and PostgreSQL environments.
Decomposes user stories into granular, executable technical tasks with clear acceptance criteria and GitHub Projects integration.
Standardizes the development and organization of new capabilities within a personal AI infrastructure using optimized templates and documentation patterns.
Provides a standardized workflow and automated tools for designing, developing, and packaging modular Agent Skills with optimized context management.
Guides the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external services.
Implements modern, musically-sophisticated UI components using a specialized color system and Tailwind CSS design patterns.
Simplifies the creation of scientific documents and complex mathematical equations using the Typst typesetting system.
Orchestrates the creation, modification, and registration of Model Context Protocol tools within the Naki mahjong AI assistant framework.
Automates Chrome and Chromium instances through a lightweight DevTools Protocol toolkit for navigation, element interaction, and session management.
Manages and resolves Gemini CLI documentation through automated scraping, intelligent indexing, and token-optimized subsection extraction.
Analyzes enterprise architecture using the Zachman Framework 3.0 to map technical artifacts and business perspectives.
Ensures git operations remain within isolated worktrees to prevent accidental changes to the main branch during multi-tasking.
Identifies and bridges architectural gaps by comparing current system implementations with target state visions.
Generates production-ready Figma mockups from specification issues using hierarchical design systems and approval tracking.
Systematically identifies the original source of software bugs by tracing execution flow backwards through the call stack.
Automates the creation and setup of isolated Git worktrees for safe, parallel feature development.
Automatically categorizes and relocates markdown files from the project root to specialized directories based on content and purpose.
Initializes a comprehensive three-tier governance framework to align AI assistants and human developers on design principles, strategy, and execution.
Eliminates trial-and-error fixing by enforcing a rigorous four-phase root cause analysis and debugging process.
Locates and documents existing code implementations and patterns to provide concrete examples for new development.
Audits project governance files to ensure consistency, structural integrity, and alignment with core design principles.
Standardizes technical evaluation of code review feedback by prioritizing verification and technical rigor over performative agreement.
Replaces arbitrary timeouts with intelligent condition polling and event-based waiting to eliminate flaky tests and race conditions.
Enforces robust testing standards by preventing brittle mocks, production code pollution, and implementation-detail testing.
Audits software specifications to detect ambiguities and generate prioritized clarification questions that reduce implementation risk.
Identifies and replaces custom code implementations with well-maintained open-source libraries through an automated multi-phase workflow.
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