Co-Pilot / 辅助式
更新于 a month ago

agents

Wwshobson
26.5k
wshobson/agents
82
Agent 评分

💡 摘要

一个综合市场,提供专业的AI代理和插件,以增强软件开发自动化。

🎯 适合人群

软件开发人员DevOps工程师项目经理安全分析师数据科学家

🤖 AI 吐槽:看起来很能打,但别让配置把人劝退。

安全分析严重风险

风险:Critical。建议检查:是否执行 shell/命令行指令;是否发起外网请求(SSRF/数据外发);API Key/Token 的获取、存储与泄露风险;文件读写范围与路径穿越风险。以最小权限运行,并在生产环境启用前审计代码与依赖。

Claude Code Plugins: Orchestration and Automation

⚡ Updated for Opus 4.5, Sonnet 4.5 & Haiku 4.5 — Three-tier model strategy for optimal performance

Run in Smithery

🎯 Agent Skills Enabled — 129 specialized skills extend Claude's capabilities across plugins with progressive disclosure

A comprehensive production-ready system combining 108 specialized AI agents, 15 multi-agent workflow orchestrators, 129 agent skills, and 72 development tools organized into 72 focused, single-purpose plugins for Claude Code.

Overview

This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:

  • 72 Focused Plugins - Granular, single-purpose plugins optimized for minimal token usage and composability
  • 108 Specialized Agents - Domain experts with deep knowledge across architecture, languages, infrastructure, quality, data/AI, documentation, business operations, and SEO
  • 129 Agent Skills - Modular knowledge packages with progressive disclosure for specialized expertise
  • 15 Workflow Orchestrators - Multi-agent coordination systems for complex operations like full-stack development, security hardening, ML pipelines, and incident response
  • 72 Development Tools - Optimized utilities including project scaffolding, security scanning, test automation, and infrastructure setup

Key Features

  • Granular Plugin Architecture: 72 focused plugins optimized for minimal token usage
  • Comprehensive Tooling: 72 development tools including test generation, scaffolding, and security scanning
  • 100% Agent Coverage: All plugins include specialized agents
  • Agent Skills: 129 specialized skills following for progressive disclosure and token efficiency
  • Clear Organization: 23 categories with 1-6 plugins each for easy discovery
  • Efficient Design: Average 3.4 components per plugin (follows Anthropic's 2-8 pattern)

How It Works

Each plugin is completely isolated with its own agents, commands, and skills:

  • Install only what you need - Each plugin loads only its specific agents, commands, and skills
  • Minimal token usage - No unnecessary resources loaded into context
  • Mix and match - Compose multiple plugins for complex workflows
  • Clear boundaries - Each plugin has a single, focused purpose
  • Progressive disclosure - Skills load knowledge only when activated

Example: Installing python-development loads 3 Python agents, 1 scaffolding tool, and makes 5 skills available (~300 tokens), not the entire marketplace.

Quick Start

Step 1: Add the Marketplace

Add this marketplace to Claude Code:

/plugin marketplace add wshobson/agents

This makes all 72 plugins available for installation, but does not load any agents or tools into your context.

Step 2: Install Plugins

Browse available plugins:

/plugin

Install the plugins you need:

# Essential development plugins /plugin install python-development # Python with 5 specialized skills /plugin install javascript-typescript # JS/TS with 4 specialized skills /plugin install backend-development # Backend APIs with 3 architecture skills # Infrastructure & operations /plugin install kubernetes-operations # K8s with 4 deployment skills /plugin install cloud-infrastructure # AWS/Azure/GCP with 4 cloud skills # Security & quality /plugin install security-scanning # SAST with security skill /plugin install code-review-ai # AI-powered code review # Full-stack orchestration /plugin install full-stack-orchestration # Multi-agent workflows

Each installed plugin loads only its specific agents, commands, and skills into Claude's context.

Plugins vs Agents

You install plugins, which bundle agents:

| Plugin | Agents | | ----------------------- | ------------------------------------------------- | | comprehensive-review | architect-review, code-reviewer, security-auditor | | javascript-typescript | javascript-pro, typescript-pro | | python-development | python-pro, django-pro, fastapi-pro | | blockchain-web3 | blockchain-developer |

# ❌ Wrong - can't install agents directly /plugin install typescript-pro # ✅ Right - install the plugin /plugin install javascript-typescript@claude-code-workflows

Troubleshooting

"Plugin not found" → Use plugin names, not agent names. Add @claude-code-workflows suffix.

Plugins not loading → Clear cache and reinstall:

rm -rf ~/.claude/plugins/cache/claude-code-workflows && rm ~/.claude/plugins/installed_plugins.json

Documentation

Core Guides

Quick Links

What's New

Agent Skills (129 skills across 20 plugins)

Specialized knowledge packages following Anthropic's progressive disclosure architecture:

Language Development:

  • Python (5 skills): async patterns, testing, packaging, performance, UV package manager
  • JavaScript/TypeScript (4 skills): advanced types, Node.js patterns, testing, modern ES6+

Infrastructure & DevOps:

  • Kubernetes (4 skills): manifests, Helm charts, GitOps, security policies
  • Cloud Infrastructure (4 skills): Terraform, multi-cloud, hybrid networking, cost optimization
  • CI/CD (4 skills): pipeline design, GitHub Actions, GitLab CI, secrets management

Development & Architecture:

  • Backend (3 skills): API design, architecture patterns, microservices
  • LLM Applications (8 skills): LangGraph, prompt engineering, RAG, evaluation, embeddings, similarity search, vector tuning, hybrid search

Blockchain & Web3 (4 skills): DeFi protocols, NFT standards, Solidity security, Web3 testing

Project Management:

  • Conductor (3 skills): context-driven development, track management, workflow patterns

And more: Framework migration, observability, payment processing, ML operations, security scanning

→ View complete skills documentation

Three-Tier Model Strategy

Strategic model assignment for optimal performance and cost:

| Tier | Model | Agents | Use Case | | ---------- | -------- | ------ | ----------------------------------------------------------------------------------------------- | | Tier 1 | Opus 4.5 | 42 | Critical architecture, security, ALL code review, production coding (language pros, frameworks) | | Tier 2 | Inherit | 42 | Complex tasks - user chooses model (AI/ML, backend, frontend/mobile, specialized) | | Tier 3 | Sonnet | 51 | Support with intelligence (docs, testing, debugging, network, API docs, DX, legacy, payments) | | Tier 4 | Haiku | 18 | Fast operational tasks (SEO, deployment, simple docs, sales, content, search) |

Why Opus 4.5 for Critical Agents?

  • 80.9% on SWE-bench (industry-leading)
  • 65% fewer tokens for complex tasks
  • Best for architecture decisions and security audits

Tier 2 Flexibility (inherit): Agents marked inherit use your session's default model, letting you balance cost and capability:

  • Set via claude --model opus or claude --model sonnet when starting a session
  • Falls back to Sonnet 4.5 if no default specified
  • Perfect for frontend/mobile developers who want cost control
  • AI/ML engineers can choose Opus for complex model work

Cost Considerations:

  • Opus 4.5: $5/$25 per million input/output tokens - Premium for critical work
  • Sonnet 4.5: $3/$15 per million tokens - Balanced performance/cost
  • Haiku 4.5: $1/$5 per million tokens - Fast, cost-effective operations
  • Opus's 65% token reduction on complex tasks often offsets higher rate
  • Use inherit tier to control costs for high-volume use cases

Orchestration patterns combine models for efficiency:

Opus (architecture) → Sonnet (development) → Haiku (deployment)

→ View model configuration details

Popular Use Cases

Full-Stack Feature Development

/full-stack-orchestration:full-stack-feature "user authentication with OAuth2"

Coordinates 7+ agents: backend-architect → database-architect → frontend-developer → test-automator → security-auditor → deployment-engineer → observability-engineer

→ View all workflow examples

Security Hardening

/security-scanning:security-hardening --level comprehensive

Multi-agent security assessment with SAST, dependency scanning, and code review.

Python Development with Modern Tools

/python-development:python-scaffold fastapi-microservice

Creat

五维分析
清晰度9/10
创新性7/10
实用性9/10
完整性8/10
可维护性8/10
优缺点分析

优点

  • 模块化和专注的插件用于特定任务。
  • 支持广泛的开发和操作需求。
  • 高效的令牌使用,降低运营成本。

缺点

  • 复杂性可能会让新用户感到不知所措。
  • 需要理解插件架构。
  • 依赖外部插件以实现完整功能。

相关技能

ccmp

A
toolCo-Pilot / 辅助式
86/ 100

“看起来很能打,但别让配置把人劝退。”

claude-mods

A
toolCo-Pilot / 辅助式
86/ 100

“看起来很能打,但别让配置把人劝退。”

agentic-qe

A
toolCo-Pilot / 辅助式
86/ 100

“看起来很能打,但别让配置把人劝退。”

免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 wshobson.