The complete operating layer for Claude.
Commands · MCP Servers · Plugins · Tools · Workflows · Agent Frameworks
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.
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
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 |
This is a framework, not just a collection.
- Commands — Interaction
- MCP — Execution
- Plugins — Capabilities
- Tools — Infrastructure
- Workflows — Automation
- Agents — Intelligence scaling
- Install 3 plugins
- Add Memory MCP
- Try Builder–Validator
/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{
"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"]
}
}
}/init # Creates CLAUDE.md — Claude reads this every session
/memory # Edit it with your stack, conventions, and rulesShift+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%
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)
| 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 |
| 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 |
| 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 |
| 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) |
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
| 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 |
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.
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 |
Claude Code ships weekly. The ecosystem moves fast.
How to know if something is outdated:
- Run
/helpin Claude Code — always shows current command list - Check
claude --versionbefore using CLI flags - MCP server transport syntax changed in 2026 (use
--transport httpfor cloud servers)
Last full audit: April 28, 2026 Next planned update: When Claude Code hits v3.0 or major ecosystem shift
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.
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
MIT — use, fork, share, build on top of this freely. Attribution appreciated but not required.
If this saved you time, star the repo.
Built for the Claude ecosystem. Updated by the community. April 2026.
commands.md · mcp-servers.md · plugins.md · tools.md · workflows.md · agent-frameworks.md