探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Manage and optimize Entity Component System (ECS) architecture for high-performance multiplayer games.
Generates publication-quality data visualizations and scientific figures following academic design and statistical best practices.
Implements Lisp-machine-inspired self-modification patterns using MCP Tasks and structure-aware version control for autonomous agent evolution.
Orchestrates parallel Maven builds and intelligent test execution for complex Java and Scala projects.
Provides shared configuration loading, pattern resolution, and project auto-discovery for cloud infrastructure management.
Generates structured analytics tracking plans and success metrics to measure feature performance and user engagement.
Builds internal developer platforms, service catalogs, and automated scaffolding to optimize developer experience and delivery speed.
Architects, optimizes, and manages end-to-end data pipelines, warehouse schemas, and analytics workflows using industry-standard frameworks.
Generates professional ASCII and Unicode architecture diagrams for GitHub Flavored Markdown using the graph-easy layout engine.
Accesses AI-generated documentation and provides context-grounded Q&A for public GitHub repositories.
Refines and simplifies Gleam codebases for maximum clarity and maintainability without altering existing functionality.
Automates logging audits and implements robust observability patterns for Gleam and Erlang/OTP applications.
Pushes Git branches to remote repositories with automated safety checks and protected branch enforcement.
Orchestrates the development of the Quest Keeper AI ecosystem by coordinating the Tauri frontend, RPG-MCP backend, and project documentation.
Designs, orchestrates, and optimizes complex AI agent systems and autonomous workflows within Claude Code.
Implements DITA and topic-based authoring principles to create modular, reusable, and highly maintainable documentation sets.
Designs, decomposes, and manages enterprise-grade microservices architectures using domain-driven design principles and distributed system patterns.
Analyzes knowledge retrieval performance, storage usage, and health status for the Fractary Codex plugin.
Analyzes graph topology and connectivity using the Ihara zeta function and non-backtracking spectral analysis.
Optimizes Postgres performance and schema design for Gleam-based backend stacks using Squirrel, POG, and Cigogne.
Implements standardized REST/JSON API patterns for Gleam projects using the Wisp and Mist frameworks.
Enforces a strict test-driven development workflow with BDD syntax and mandatory coverage requirements for reliable code.
Enables Lisp-machine-style self-modification for AI agents using MCP Tasks and structure-aware Narya bridge types.
Analyzes sector and industry performance charts to identify market cycle positioning and forecast sector rotation patterns.
Streamlines Angular application quality assurance through comprehensive unit testing, Cypress E2E automation, and production-ready deployment workflows.
Orchestrates end-to-end GitHub project workflows using AI swarm coordination for automated issue tracking, board synchronization, and sprint planning.
Scans your codebase to autonomously identify architectural improvements, technical debt, and high-value feature ideas.
Enables advanced codebase analysis and specialized AI development tools by bridging Claude with the GitHub Copilot CLI.
Orchestrates database lifecycle operations across development phases from requirement detection to production release.
Generates sheaf-theoretic models and forces propositions within topos theory to enable advanced mathematical modeling and logic synthesis.
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