探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Verifies code implementation against software design specifications to ensure development remains aligned with the original plan.
Manages the administrative lifecycle of specifications by tracking task status, documenting decisions, and organizing spec files.
Implements a spec-driven development methodology by generating structured, phased implementation plans before any code is written.
Evaluates and optimizes Claude Code plugin performance using automated metrics for token consumption and context efficiency.
Accesses cached authoritative documentation and engineering blogs to provide up-to-date technical specifications and best practices for Claude Code.
Records and manages detailed deployment history with Git integration and rollback point tracking.
Manages git-based state persistence and session recovery for long-running AI development tasks.
Guides the development and standardization of custom Claude Code skills through modular design patterns and automated scripts.
Orchestrates multiple native Claude Code background agents to execute complex, multi-phase development tasks in parallel.
Automatically generates and synchronizes plugin documentation by analyzing codebase structure and component metadata.
Analyzes codebases to generate secure, optimized Claude Code Sandbox configurations and permission settings.
Generates comprehensive, context-aware pull request descriptions by synthesizing spec metadata, git history, and technical journal entries.
Deploys and orchestrates cloud-based AI agent swarms with event-driven workflow automation and intelligent coordination.
Systematically applies specification modifications, review feedback, and bulk updates with safety checks and automatic rollbacks.
Generates project-specific Model Context Protocol (MCP) servers to provide Claude with customized development tools and semantic search capabilities.
Orchestrates sophisticated multi-agent coordination using a queen-led architecture, collective memory, and robust consensus mechanisms for complex software development tasks.
Navigates and synthesizes the Highrise Studio Lua API documentation to provide instant answers and code snippets for game development.
Trains and deploys complex neural networks across distributed E2B sandbox environments using custom architectures or pre-built templates.
Implements and trains reinforcement learning algorithms to create autonomous agents that improve through experience.
Automates and optimizes GitHub Actions workflows using AI swarm coordination for intelligent CI/CD, repository management, and security auditing.
Standardizes the code review process through a multi-dimensional quality assessment covering security, performance, and maintainability.
Implements high-performance persistent memory systems for AI agents to enable long-term context retention and autonomous pattern learning.
Automates complex GitHub release lifecycles using AI swarm coordination for versioning, testing, and multi-platform deployment.
Optimizes development workflows by enabling simultaneous work on multiple Git branches without the friction of context switching.
Implements and trains autonomous agents using nine specialized reinforcement learning algorithms for self-improving behavior.
Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Orchestrates cloud-based AI agent swarms and event-driven workflows for complex, multi-agent automation tasks.
Automates and coordinates Claude Code operations through intelligent pre- and post-task hooks with MCP integration and neural pattern learning.
Generates museum-grade visual art and design philosophies through a two-step process of conceptualization and high-fidelity rendering.
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