浏览所有 Claude 技能

Performance Analysis for Claude Flow

Analyzes and optimizes Claude Flow swarm performance by detecting bottlenecks and providing actionable architectural recommendations.

Multi-Perspective Debate Generator

Generates a trio of expert challenger personas to rigorously critique technical decisions and architectural patterns from diverse professional angles.

Tmux Orchestrator

Orchestrates complex multi-window and multi-pane tmux layouts for efficient parallel development workflows.

V3 Security Overhaul

Automates the remediation of critical vulnerabilities and implements secure-by-default patterns for claude-flow v3 architectures.

Command Management

Standardizes the creation and maintenance of custom Claude Code commands using validated templates and security best practices.

Frontend Design

Creates distinctive, production-grade frontend interfaces with high-quality aesthetics that avoid generic AI patterns.

V3 Memory Unification & AgentDB Integration

Unifies disparate AI memory systems into a high-performance AgentDB backend with HNSW vector search for massive retrieval speedups.

Advanced Swarm Orchestration

Orchestrates complex multi-agent workflows using advanced topologies for research, development, and distributed testing.

Hooks Automation for Claude Code

Automates and optimizes Claude Code workflows through intelligent pre- and post-operation hooks, session management, and neural pattern learning.

Rigorous Completion Verification

Enforces a strict evidence-based protocol requiring fresh command output before any task is marked as complete or successful.

Domain-Driven Design Core Implementation

Implements high-quality, DDD-compliant core modules and clean architecture patterns for robust TypeScript applications.

Verification Before Completion

Enforces rigorous, evidence-based verification before claiming any programming task or bug fix is complete.

Mermaid Diagram Library

Generates and renders professional Mermaid diagrams across 21 different types using MCP Playwright integration for system architecture and documentation.

AgentDB Learning Plugins

Equips Claude with nine reinforcement learning algorithms to build self-learning agents that optimize behavior through experience and training.

Stream-Chain Workflow Orchestrator

Orchestrates multi-step agent workflows by chaining sequential prompts and JSON streams for complex development tasks.

iTerm2 Git Worktree Manager

Streamlines Git worktree management by automating branch creation and iTerm2 window integration for parallel feature development.

GitHub Code Review Swarm

Automates comprehensive GitHub code reviews using a multi-agent swarm system to analyze security, performance, and architectural integrity.

Pair Programming

Facilitates collaborative AI-assisted development with intelligent role management, real-time quality verification, and specialized workflow modes for TDD and debugging.

V3 CLI Modernization

Refactors and optimizes command-line interfaces into modular, interactive, and automated workflow systems.

Bulk Static Data Sync

Optimizes high-volume data synchronization from external APIs to databases using multi-row insert patterns and foreign key pre-filtering.

V3 Performance & Optimization Suite

Optimizes AI system performance through Flash Attention, HNSW search indexing, and comprehensive benchmarking to achieve aggressive speed and memory targets.

AgentDB Memory Patterns

Implements high-performance persistent memory and reinforcement learning patterns for stateful AI agents.

PyPI Release Automation

Automates the creation of GitHub Actions workflows to publish Python packages to PyPI and TestPyPI using trusted publishing.

Flow Nexus Platform Manager

Manages the complete Flow Nexus ecosystem including sandboxed execution, cloud deployment, and credit-based resource orchestration.

ReasoningBank Intelligence

Implements an adaptive learning system that enables AI agents to recognize patterns and optimize task strategies through continuous experience.

Python Environment Setup

Configures and manages high-performance Python development environments using the uv package manager and automated workflows.

AgentDB Vector Search

Implement ultra-fast semantic vector search and intelligent document retrieval for RAG systems using AgentDB's high-performance HNSW indexing.

AgentDB Reinforcement Learning

Equips AI agents with nine reinforcement learning algorithms to optimize decision-making and behavior through experience.

SPARC Methodology & Orchestration

Implements the SPARC framework to orchestrate multi-agent workflows across five systematic development phases from specification to completion.

Waldstorm Workflow Optimizer

Enhances Claude's task management by automating the brainstorming, planning, and execution phases while tracking progress in a dedicated journal.