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The Problem

You can spend 40 hours searching GitHub, Reddit, Medium, and Anthropic's docs — and still not have a complete picture of what Claude can actually do.

The ecosystem exploded in 2025–2026.

• 14,600+ repositories indexed
• 1,200+ MCP servers available
• 400+ plugins and skills
• 25+ agent frameworks
• 100+ commands and prompt codes

Nobody documented all of it in one place.

“This isn’t a resource. It’s a complete operating layer for Claude.”

Until now.

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📦 What's Inside

6 reference files. 4,700+ lines. Everything verified and current as of April 2026.

File	What It Covers	Lines	Size
commands.md	Every slash command, CLI flag, keyboard shortcut, and prompt code	653	24 KB
mcp-servers.md	25 MCP servers + 10 memory systems, install configs, usage patterns	781	24 KB
plugins.md	40+ plugins and skills across 6 tiers, install commands, role-based setups	829	29 KB
tools.md	25 tools — frameworks, vector DBs, deployment platforms, automation	561	20 KB
workflows.md	25 production workflows from RAG pipelines to multi-agent orchestration	1,178	33 KB
agent-frameworks.md	25 agent frameworks with benchmarks, code examples, decision guide	732	27 KB

Total: 4,734 lines · 157 KB of curated, production-verified reference material

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🗺️ How to Navigate This Repo

New to Claude Code?

commands.md → mcp-servers.md → plugins.md

Learn what Claude can do natively → connect it to the world → extend with skills.

Building a production app?

tools.md → workflows.md → agent-frameworks.md

Pick your stack → follow the workflow pattern → choose the right orchestration.

Looking for something specific?

I want to...	Go to
Learn all Claude commands	commands.md
Connect Claude to GitHub / Postgres / Slack	mcp-servers.md
Give Claude persistent memory	mcp-servers.md#memory-systems
Install the best plugins	plugins.md
Build a RAG pipeline	workflows.md
Compare CrewAI vs LangGraph	agent-frameworks.md
Pick a vector database	tools.md
Deploy Claude to production	tools.md + workflows.md

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Claude OS — Layer Model

This is a framework, not just a collection.

1. Commands — Interaction
2. MCP — Execution
3. Plugins — Capabilities
4. Tools — Infrastructure
5. Workflows — Automation
6. Agents — Intelligence scaling

Start Here If You Have 10 Minutes

• Install 3 plugins
• Add Memory MCP
• Try Builder–Validator

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⚡ Quick Wins — 5 Things to Do Right Now

1. Install the 3 plugins that matter most

/plugin marketplace add obra/superpowers-marketplace
/plugin install superpowers@superpowers-marketplace      # Plans before it builds
/plugin install context7@claude-plugins-official         # Live docs, no hallucinated APIs
claude skills add juliusbrussee/caveman                  # 65-75% fewer output tokens

2. Set up your core MCP servers

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/projects"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "your_token" }
    },
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    }
  }
}

3. Initialize project memory

/init           # Creates CLAUDE.md — Claude reads this every session
/memory         # Edit it with your stack, conventions, and rules

4. Learn the 5 keyboard shortcuts that save the most time

Shift+Tab    → Cycle modes: Normal → Auto-Accept → Plan Mode
Ctrl+R       → Search command history
Esc Esc      → Rewind conversation or code
Ctrl+T       → Toggle task list
/compact     → Compress context when it hits 70%

5. Use the right thinking mode for the right task

L99          → Maximum reasoning depth (architecture decisions)
XRAY         → Root cause analysis (debugging)
OODA         → Tactical decisions under uncertainty
BEASTMODE    → Maximum effort, no shortcuts
/plan        → Force planning before execution (production code)

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📊 The Ecosystem at a Glance

MCP Servers — By Category

Category	Must-Have Servers
Version Control	GitHub, Git, GitLab
Database	PostgreSQL, SQLite, Redis, Supabase, MongoDB
Communication	Slack, Notion, Gmail, Discord
Design	Figma
Deployment	Vercel, Docker, AWS, Kubernetes
Search	Brave Search, Fetch, Puppeteer
Memory	Memory MCP, mem0, Memora, OmniMem

Plugins — By Role

Role	Essential Installs
All developers	Superpowers, Context7, Caveman
Full-stack	+ feature-dev, frontend-design, Playwright
Backend	+ backend-architect, test-writer-fixer, security-sweep
Product managers	+ Taskmaster, backlog, BMAD Method
Security	+ security-sweep, AgentLint, Trail of Bits
Content/Marketing	+ connect-apps, marketing-skills

Agent Frameworks — Decision Matrix

Need	Framework
Fastest to demo	CrewAI
Production + state management	LangGraph
Research + code execution	AutoGen
Claude-only stack	Claude Agent SDK
Data-heavy agents	LlamaIndex Agents
Enterprise .NET/Azure	Microsoft Agent Framework

Tools — Stack by Use Case

Use Case	Stack
Getting started	Chroma + LangChain + Streamlit
Production SaaS	Supabase + FastAPI + Pinecone + Vercel
Enterprise	LlamaIndex + LangGraph + Qdrant + Kubernetes
No-code	Flowise or Dify + Zapier or Make
Privacy-first	Ollama + Chroma + LlamaIndex (fully local)

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🏗️ Repo Structure

claude-os/
│
├── README.md                  ← You are here
│
├── commands.md                ← Slash commands, CLI flags, shortcuts, prompt codes
├── mcp-servers.md             ← MCP servers (Tier 1–3) + memory systems
├── plugins.md                 ← Plugins, skills, extensions (Tier 1–6)
├── tools.md                   ← Frameworks, DBs, deployment, automation
├── workflows.md               ← 25 production workflows with steps + tools
└── agent-frameworks.md        ← 25 frameworks with benchmarks + code examples

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🔢 Numbers That Matter

Metric	Number
Commands documented	100+
MCP servers covered	25 (from 1,200+ ecosystem)
Memory systems	10
Plugins and skills	40+
Tools documented	25
Workflows with full steps	25
Agent frameworks	25
Code examples included	60+
Total lines of reference	4,700+
Repos indexed as sources	14,634

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🧭 The Philosophy Behind This Bundle

Most Claude resources are either:

Too shallow — "Here are 10 cool things Claude can do" (no install commands, no real usage)

Too scattered — spread across 50 different GitHub repos, Medium articles, and Discord threads

Too outdated — written for Claude 2 or early MCP, missing everything from 2025–2026

Claude OS is different. Every entry follows the same structure:

• What it does (one clear sentence)
• Why it matters for Claude specifically
• Working install command or code example
• Honest "best for" and limitations
• Updated to April 2026

The rule we followed throughout:

If you can't explain what a tool does in one sentence and show working code in 10 lines, it doesn't belong here.

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📈 Verified Production Metrics

Real companies. Real results. What's possible when you use this stack properly.

Company	Workflow	Result
Stripe	Claude Code across 1,370 engineers	10k-line migration: 4 days vs 10 engineer-weeks
Ramp	Incident investigation workflow	80% reduction in investigation time
Wiz	Multi-agent code migration	50k lines Python→Go in ~20hrs (was 2–3 months)
Rakuten	Feature delivery pipeline	24 working days → 5 working days
Fountain	Multi-agent code review	50% faster delivery
CRED	Agent teams across dev lifecycle	2x speed, maintained quality

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🗓️ Keeping This Current

Claude Code ships weekly. The ecosystem moves fast.

How to know if something is outdated:

• Run /help in Claude Code — always shows current command list
• Check claude --version before using CLI flags
• MCP server transport syntax changed in 2026 (use --transport http for cloud servers)

Last full audit: April 28, 2026 Next planned update: When Claude Code hits v3.0 or major ecosystem shift

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🤝 Contributing

Found a command that works but isn't listed? Know a plugin that deserves Tier 1? Discovered a workflow pattern that ships faster?

Open a PR with:

• Name and one-line description
• Working install command or code example
• "Best for" and honest limitations
• Source (GitHub repo, official docs, your production experience)

We don't accept "it might be useful" entries. Show it working.

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📚 Primary Sources

Everything in this bundle was verified against:

• Anthropic official documentation (code.claude.com/docs)
• Claude Code release notes (v2.1+)
• GitHub repository stars and activity (April 2026)
• Production reports: Gartner Q1 2026, Anthropic 2026 Agentic Coding Trends
• Community sources: awesome-claude-code, awesome-claude-plugins, quemsah/awesome-claude-plugins (14,634 repos)
• Benchmark data: GAIA benchmark, LangGraph production metrics, CrewAI execution data
• Direct testing and production deployments

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License

MIT — use, fork, share, build on top of this freely. Attribution appreciated but not required.

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