Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

Marketing and promotion specialist for Claude ecosystem technology - MCP servers, skills, plugins, and agents. Expert in community engagement, registry submissions, content marketing, and...

Claude Code 프로젝트의 에이전트와 스킬 관계를 D3.js 노드 그래프로 시각화합니다. 에이전트-스킬 의존성을 파악하고 구조를 탐색할 때 사용하세요.

Validates agent configurations for model selection, tool permissions, focus areas, and approach quality. Use when reviewing, auditing, improving agents, or learning agent best practices.

Generate PhD-level expert agent prompts for Claude Code. Creates comprehensive 500-1000 line agents with detailed patterns, code examples, and best practices. Triggers on: spawn agent, create...

Universal environment variable loader for AI agent environments. Loads secrets and config from Claude.ai, Claude Code, OpenAI Codex, Jules, and standard .env files.

深度调研的多Agent编排工作流：把一个调研目标拆成可并行子目标，用 Claude Code 非交互模式（`claude -p`）运行子进程；联网与采集优先使用已安装的 skills，其次使用 MCP 工具；用脚本聚合子结果并分章精修，最终交付"成品报告文件路径 +...

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge,...

Deep codebase initialization with hierarchical AGENTS.md documentation

Build and configure VectorChat agents interactively. Use when asked to create a VectorChat agent, chatbot, or AI assistant in the VectorChat platform. Triggers on "create agent", "build chatbot",...

Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions...

Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration,...

Run Claude Code programmatically without interactive UI. Triggers on: headless, CLI automation, --print, output-format, stream-json, CI/CD, scripting.

Chain agents together in sequential or branching workflows with data passing

Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

[Skill] Create detailed implementation plans for features. Asks clarifying questions, suggests solutions, proposes architecture, and outputs a structured plan document. Use when user wants to plan...

[Skill] Perform thorough code reviews focusing on unused code, duplications, coding patterns, bugs, and optimizations. Use when user wants code reviewed or audited. Read-only - outputs findings...

Use when answering legal questions about UAE business law, including startup formation (LLC, DIFC, ADGM, free zones), shareholder agreements, SAFE notes, convertible notes, healthcare licensing...

Local-first, multi-product backlog management with agent collaboration discipline.

AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.