10 Claude Code Skills, Plugins & CLIs to Install on Day One (April 2026)
AI Infrastructure Lead
Key Takeaways
- Skills teach Claude workflows (markdown files), Plugins give Claude new tools (MCP servers), CLIs give Claude helper programs (shell commands) — install some of each
- Day-one minimum: Codex CLI, Firecrawl, Playwright, Anthropic's Skill Creator — covers 80% of typical developer needs
- All 10 tools are free and open source (or have free tiers) — total cost to install the entire day-one stack is $0
- Watch token bloat: each MCP server's tool catalog counts toward every turn's context — install what you actually use, uninstall what you don't
- Skills vs Plugins vs CLIs (What the Labels Actually Mean)
- 1. Codex CLI — OpenAI's Agent as a Sub-Agent
- 2. Obsidian — A Second Brain for Claude
- 3. Autoresearch — Karpathy's Autonomous Experiment Runner
- 4. awesome-design-md — UI Design Reference
- 5. Firecrawl — Scrape Any Site to Markdown
- 6. Playwright — Browser Automation MCP
- 7. NotebookLM CLI — Google Research in Your Terminal
- 8. Skill Creator — Anthropic's Official Scaffolder
- 9. RAG-Anything — Multimodal Knowledge Graphs
- 10. Google Workspace CLI — Full Gmail & Docs Control
- FAQ
Skills vs Plugins vs CLIs (What the Labels Actually Mean)
Before we get to the list, a quick taxonomy. The three categories get conflated constantly because they all "extend Claude Code," but they do it in three very different ways and knowing the difference makes it much easier to pick the right tool for a given job.
Skills are markdown files. A skill lives in ~/.claude/skills/YourSkill/SKILL.md and contains instructions, prompts, reference material, and optional helper files. Claude loads a skill on demand — you (or Claude itself) invoke it by name, the contents get injected into the context, and then Claude uses them as guidance for whatever it's about to do. Skills are how you teach Claude your workflow.
Plugins are MCP (Model Context Protocol) servers. A plugin is an executable that starts up when Claude does and exposes one or more tools that Claude can call — like Read, Write, or Bash, but custom. Firecrawl gives Claude a scrape tool; Playwright gives it a browser_click tool. Plugins are how you give Claude new hands.
CLIs are independent command-line tools. They don't know anything about Claude — they're just programs on your PATH that Claude can shell out to using its built-in Bash tool. Codex CLI is a standalone OpenAI agent; Claude invokes it the same way it invokes git or npm. CLIs are how you give Claude helpers.
1. Codex CLI — OpenAI's Agent as a Sub-Agent
Counterintuitive day-one pick: install OpenAI's Codex CLI, a direct competitor to Claude Code, and let Claude Code invoke it as a helper. Codex is excellent at executing well-scoped implementation tasks — "rewrite this file to use React Server Components" — while Claude Code is excellent at planning, coordinating, and holding multi-file context. Run them together and you get two frontier models cooperating on the same project.
npm install -g @openai/codex export OPENAI_API_KEY=sk-YOUR_KEY # Inside Claude Code, tell it what's available: # "If you need a second opinion or want to parallelize a task, # you can shell out to codex via Bash with: codex exec 'task description'"
2. Obsidian — A Second Brain for Claude
Obsidian is a local markdown-based knowledge tool, and with the community MCP server it becomes Claude's long-term memory. Point Claude at your Obsidian vault and it can read, write, and link notes during a conversation — perfect for research projects, reading lists, client docs, and anything else you don't want to re-explain every session. The underlying files are just markdown, so you can commit your whole vault to git and treat it as part of your project.
claude mcp add obsidian \ --command "npx" \ --args '["-y","@obsidian/mcp-server","--vault","/path/to/your/vault"]'
3. Autoresearch — Karpathy's Autonomous Experiment Runner
Andrej Karpathy's autoresearch repo packages a small language model training loop and gives it to an agent so the agent can autonomously run experiments, track results, and propose architectural changes. Install it as a CLI that Claude Code can invoke, and Claude becomes capable of actually doing ML research — not just talking about it. If you've ever wanted an agent that can fine-tune a small model overnight while you sleep, this is the starting point.
git clone https://github.com/karpathy/autoresearch ~/tools/autoresearch cd ~/tools/autoresearch && pip install -e . # Claude can now invoke: autoresearch run --config experiments/gpt_tiny.yaml
4. awesome-design-md — UI Design Reference
VoltAgent's awesome-design-md is a curated collection of design-system markdown files — color tokens, typography scales, spacing primitives, component patterns — all formatted specifically to be dropped into an AI agent's context. Install it as a skill and Claude Code starts writing UI code that actually looks intentional instead of generic. It's the single biggest quality-of-life upgrade for anyone using Claude to build frontends.
cd ~/.claude/skills git clone https://github.com/VoltAgent/awesome-design-md # Claude will auto-discover the SKILL.md files on next launch
5. Firecrawl — Scrape Any Site to Markdown
Firecrawl is the web-scraping backbone for AI agents. Point it at any URL and it returns clean markdown, structured data, or a full site crawl. Claude Code with Firecrawl installed can pull documentation, read competitor sites, fetch API references, or ingest an entire blog into context — all via one tool call. There's a generous free tier and the self-hosted version is open source.
claude mcp add firecrawl \ --command "npx" \ --args '["-y","firecrawl-mcp"]' \ --env "FIRECRAWL_API_KEY=fc-YOUR_KEY"
6. Playwright — Browser Automation MCP
Microsoft's Playwright MCP server turns Claude into a full browser driver. It can navigate pages, click elements, fill forms, take screenshots, capture network requests, and validate outcomes — all from natural language instructions. This is the plugin to install if you want Claude to actually use the web instead of just read it: filing bug reports, running end-to-end tests, scraping JavaScript-heavy pages, or validating your own app by clicking through it.
claude mcp add playwright \ --command "npx" \ --args '["-y","@playwright/mcp"]'
7. NotebookLM CLI — Google Research in Your Terminal
NotebookLM is Google's research assistant — upload PDFs, websites, and YouTube videos, get grounded summaries and cited Q&A. The community CLI wrapper exposes it as a terminal tool Claude Code can invoke. For any project where you're reading large volumes of source material and need grounded answers with citations, letting Claude hand queries off to NotebookLM is dramatically more reliable than asking Claude to remember everything.
pip install notebooklm-cli notebooklm auth login # Now Claude can run: notebooklm query "what does this PDF say about X"
8. Skill Creator — Anthropic's Official Scaffolder
The anthropics/skills repo contains a skill called skill-creator that writes new skills for you. You describe what you want — "a skill that runs our deployment checklist" — and it produces a properly-structured SKILL.md with front matter, description, instructions, and optional helper files. This is the fastest way to start producing your own custom skills, and because it's maintained by Anthropic, what it generates matches the official conventions exactly.
cd ~/.claude/skills git clone https://github.com/anthropics/skills # Inside Claude Code, invoke it: "use the skill-creator to make a new skill # called deploy-check that..."
9. RAG-Anything — Multimodal Knowledge Graphs
HKUDS's RAG-Anything is a multimodal retrieval-augmented generation framework that ingests PDFs, images, tables, and text into a single knowledge graph. Install it as a CLI and Claude can query your private document collection with grounded retrieval — the results come back with citations and Claude can follow them to the source. It's the right tool for projects where you have hundreds of technical documents and need the agent to actually find the right paragraph instead of hallucinating.
pip install rag-anything rag-anything ingest ~/docs --index ~/.rag/index # Claude queries it via: rag-anything query "your question" --top-k 5
10. Google Workspace CLI — Full Gmail & Docs Control
The Google Workspace CLI gives Claude Code keys to Gmail, Docs, Sheets, Drive, and Calendar. Install it, authenticate once, and Claude can read your inbox, draft emails, create and edit documents, schedule meetings, and pull cells from spreadsheets — all from the terminal. For anyone running a Claude Code–centric workflow, this is how the agent leaves the developer sandbox and starts touching real work output.
npm install -g @googleworkspace/cli gws auth login # Claude can now run: gws gmail search "invoice" --max 10 # gws docs create "Meeting notes 2026-04-11"
Final Word
The reason Claude Code has pulled so far ahead of every other agentic coding tool in 2026 isn't the base model — it's the extensibility layer. Skills let you teach it, plugins let you extend it, CLIs let you compose it with every other command-line tool on Earth. The 10 above are our pick for the day-one stack because each one solves a distinct category of friction: second AI, knowledge, experiments, design, web, browser, research, scaffolding, RAG, and productivity integrations.
Install the four we flagged as essential first — Codex CLI, Firecrawl, Playwright, and Skill Creator — and play with them for a day before adding the rest. By the end of your first week, you'll know which of the remaining six match your workflow and which you can skip. The whole stack is free, the whole stack is open source, and the whole stack composes with everything else you already use.
For the full directory, browse our Claude Code Skills list, the complete MCP Servers catalog, our Claude Code Hooks guide, and the latest Claude Code Agents roundup. If you're comparing Claude Code against other tools, see the best AI coding tools of 2026 and our tier list of 24 Claude Code backends.
FAQ
Recommended AI Tools
Anijam ✓ Verified
PopularAiTools Verified — the most complete AI animation tool we have tested in 2026. Story, characters, voice, lip-sync, and timeline editing in one canvas.
View Review →APIClaw ✓ Verified
PopularAiTools Verified — the data infrastructure layer purpose-built for AI commerce agents. Clean JSON, ~1s response, $0.45/1K credits at scale.
View Review →HeyGen
AI video generator with hyper-realistic avatars, 175+ language translation with voice cloning, and one-shot Video Agent. Create professional marketing, training, and sales videos without cameras or actors.
View Review →Writefull
Comprehensive review of Writefull, the AI writing assistant built for academic and research writing, with features, pricing, pros and cons, and alternatives comparison.
View Review →