探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Manages and automates professional, value-driven follow-ups for stalled communications to ensure momentum without being intrusive.
Generates standardized, production-grade JavaScript handlers for Symfony projects following strict clean code patterns.
Orchestrates complex distributed workflows using multi-agent swarm patterns for research, development, and quality assurance.
Generates production-ready React components and themed layouts from natural language descriptions using Tailwind CSS.
Automates comprehensive GitHub code reviews using specialized AI agent swarms to analyze security, performance, and architectural integrity.
Automates the creation and configuration of Doctrine entity relationships within Symfony projects.
Implements high-performance vector search, distributed QUIC synchronization, and multi-database management for advanced AI systems.
Generates distinctive, production-grade frontend interfaces that move beyond generic AI-generated aesthetics through bold design choices.
Streamlines GitHub workflows through AI-powered swarm coordination, automated issue tracking, and real-time project board synchronization.
Automates the generation and management of standardized, multilingual error codes within Symfony migrations.
Orchestrates sophisticated multi-agent pipelines by streaming data through sequential processing steps and complex transformations.
Manages academic citations and bibliographies by searching databases, extracting metadata, and generating standardized BibTeX entries.
Automates the generation and formatting of Symfony database migrations using standardized naming conventions and templates.
Automates and coordinates Claude Code operations through intelligent pre- and post-task hooks with MCP integration and neural pattern learning.
Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.
Manages system outages and performance degradations with standardized on-call procedures and automated runbook execution.
Implements comprehensive error management strategies including user-friendly messaging, custom exception types, and resilient recovery patterns.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and advanced caching strategies to maximize search speed and minimize memory usage.
Tracks and manages educational milestones and course completion states within the Claude Code environment.
Extracts structured data from complex PDFs, scanned documents, and multi-column layouts using the advanced Docling engine and Granite vision-language models.
Enforces a structured root-cause investigation workflow to resolve complex software failures and prevent repetitive fix attempts.
Establishes standardized AI agent personas and responsibilities to streamline multi-agent collaboration within software repositories.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Automates error classification and implements structured retry strategies to handle transient failures and ensure workflow resilience.
Implements and trains autonomous agents using nine specialized reinforcement learning algorithms for self-improving behavior.
Provides a specialized laboratory environment for experimenting with and implementing advanced Claude capabilities.
Optimizes agent workflows by intelligently determining when to execute multiple tasks concurrently or sequentially to prevent code conflicts.
Enforces a rigorous 5-step evidence-based validation process before any task is marked as complete or successful.
Conducts deep complexity assessments and scope analysis for software tasks to ensure accurate planning before implementation.
Transforms complex implementation plans into structured Execution Maps for multi-agent coordination and systematic task delegation.
Scroll for more results...