Glossary · The long foundations

The 8 AI words
to grasp
before the rest.

This page keeps the long definitions from the original glossary: the words I wanted to explain calmly before opening the full glossary. API key, .env file, token, CLI, MCP, AI model, skill, agent, plugin. If you're just starting out, start here. If you're only after one specific word, head to the A-Z glossary instead.

"Before piling up 70 words, I'd rather have 8 of them firmly in place."
This page is the entry hall. It doesn't replace the glossary: it gives you the foundations so everything else reads faster. — Jérémy · May 2026
8 long definitions ~25 min read Next up A-Z glossary
— Short path

Read these 8 words in order.

The full glossary is there for quick lookups. This page is there to understand the foundations in depth, with examples, common mistakes and concrete landmarks.

— Need a specific word?

The A-Z glossary is still the search page.

This page is deliberately short on word count. To look up RAG, hallucination, webhook, AGENTS.md, embedding or prompt injection, go through the full hub.

Open the A-Z glossary →
01
— Technical word · #01

API key

In one sentence: an API key is a personal password you paste into a tool so it can talk to Claude (or another AI service) on your behalf, and bill you as you go.

The analogy that clicks

Picture a personalized gym badge. You scan it on the way in, the gym knows it's you, and it charges your membership every time you visit. If you lose it or lend it out, you're the one who gets the bill. An API key is exactly that: a personalized badge for Claude. I keep mine in a password manager, never out in the open.

What it actually does for you

  • Hook Claude up to Zapier, Make or n8n to automate writing emails, meeting summaries or product sheets.
  • Connect Claude to an editor like Cursor, which helps you write documents, scripts or websites without starting from scratch.
  • Run an automation that reads your Notion, your Google Sheet or your CRM and generates content on a loop while you sleep.

Where you'll run into it

For Claude, it all happens at console.anthropic.com/settings/keys. You'll see a purple "Create Key" button in the top right, and a table with the columns Name, Key, Created, Last used. When you create the key, a window opens with the full value (it starts with sk-ant-). Careful: it's shown only once. On the no-code side, you paste it into an "API Key" field when connecting Claude to Zapier, into a "Credential" on n8n, or into the "Connection" of a Claude module on Make.

console.anthropic.com/settings/keys
API Keys + Create Key
Name Key Created Last used
zapier-prod sk-ant-api03-•••• Apr 12, 2026 Apr 20, 2026
n8n-test sk-ant-api03-•••• Apr 08, 2026 Apr 19, 2026
cursor-local sk-ant-api03-•••• Mar 24, 2026 Apr 20, 2026
One key per tool — the "Key" column hides everything but the last 4 characters

How to use it — step by step

  1. Create an account at console.anthropic.com (it's separate from claude.ai, even if you already have a Pro subscription).
  2. Add a bank card in the Billing tab. No mandatory monthly subscription, you only pay for what you use.
  3. Go to Settings → API Keys, then click Create Key.
  4. Give it a meaningful name (example: zapier-prod, n8n-test). The rule I stick to: one key per tool, never a single one for everything.
  5. Copy the key immediately and paste it into a password manager. If you close the window, it's gone: you'll have to create a new one.
  6. Paste it into the target tool (the API Key field in Zapier, Make, n8n, Cursor, etc.).
  7. Go back to Billing → Limits and set a monthly spending limit. That's your safety net.

What it costs (April 2026, per million "tokens" — see entry #03): Haiku 4.5 at $1 input and $5 output, Sonnet 4.6 at $3 / $15, Opus 4.7 at $5 / $25. For most everyday automations, Haiku or Sonnet is plenty.

You can skip it if…

You only use claude.ai or the mobile app to chat with Claude. In that case, your Pro ($20/month) or Max ($200/month) subscription is enough, and you never need to touch an API key. One trap worth knowing all the same: Claude Pro and the API are two separate bills. If one day you want to automate, you'll have to top up the card on the API side on top of your subscription. I might be off on a detail, so write to me if you spot anything inconsistent.

02
— Technical word · #02

.env file

In one sentence: a .env file is a little text notebook sitting next to your project that holds your API keys and passwords, so you don't have to write them straight into your code.

The analogy that clicks

It's the key ring tucked away in the hallway drawer. When someone visits your house (your code), they see the furniture but not the keys. The key ring stays hidden, and when the app needs to open a door (call Claude, send an email), it quietly reaches inside for it. The worst mistake would be sticking the keys on the front door — the equivalent of posting your code online with the passwords inside.

What it actually does for you

  • Separate your secrets from your code. You can share your project with a technical person without handing over your paid access.
  • Swap out a key (after a rotation or a leak) without touching a single line of code.
  • Run several environments side by side: a .env.development with test keys, a .env.production with the real ones.

Where you'll run into it

In an editor like VS Code or Cursor, the file shows up at the root of the project folder, often greyed out because it's treated as hidden. Its name is literally .env (with the dot in front, no extension). Inside, one line per secret, in the format NAME_IN_CAPS=value, with no spaces around the equals sign. If you deploy on Vercel, Netlify or Railway, you don't create a file: you go to the Environment Variables tab in the project settings and fill in the same thing in a table.

my-project — Cursor
my-project
index.html
package.json
.env
.env.example
.gitignore
README.md
# My keys — NEVER commit to GitHub
ANTHROPIC_API_KEY=sk-ant-api03-xxxxxxxxxxxx
RESEND_API_KEY=re_xxxxxxxxxxxx
SUPABASE_URL=https://xxx.supabase.co
 
# Restart the app after any change
A hidden file at the root · one line per key · never in Git

How to use it — step by step

  1. At the root of your project, create a file named exactly .env (mind the dot at the start).
  2. Add one line per secret, for example: ANTHROPIC_API_KEY=sk-ant-your-real-code. No spaces around the =, no quotes unless the value contains a space.
  3. Before saving anything to GitHub, check that the .gitignore file does contain the line .env. That's what keeps your notebook from leaving with the rest.
  4. Create a .env.example file next to it with the same names but without the real values (example: ANTHROPIC_API_KEY=your-key-here). That one can go to GitHub, it serves as a template for you or a collaborator.
  5. Restart your app so it loads the new variables.

Resources that go further if one day you're managing several keys with a team: 1Password CLI (secrets never touch the disk, unlocked with Touch ID) or Doppler (automatic key rotation, handy from three people up). For a solo project, a plain .env is more than enough.

You can skip it if…

You only use no-code tools like Zapier, Make or n8n in their cloud versions. Those platforms store your keys for you, in their own interface, and you never have a file to handle. Same thing if you go through Claude Code with a Pro subscription: the keys are tucked into the macOS keychain (the "Keychain"), and there's nothing to configure on your end. The .env becomes useful the day you run a little script on your computer or on a server.

03
— Technical word · #03

Token

In one sentence: a token is a small chunk of a word (three to four letters on average) that the AI counts to work out how much text you send it and how much it sends back — and that's the unit it bills you on.

The analogy that clicks

Think of an Uber. You don't pay per trip, you pay by distance traveled. The meter ticks up every kilometer. Tokens work the same way: every word you send Claude turns the meter, and every word it sends back does too. A short email = a few cents. A fifty-page contract = several dollars. Me, I always estimate before kicking off a loop, to dodge the nasty surprise the next morning.

What it actually does for you

  • Understand why your bill swings around: a hundred short emails cost far less than a single fifty-page PDF.
  • Estimate the cost of an automation before you launch it. A worked example: 1,000 product sheets of 300 words processed with Sonnet 4.6 comes to roughly 400,000 input tokens, or about $1.20.
  • Pick the right model for the task. Haiku 4.5 at $1 per million tokens is three times cheaper than Sonnet 4.6 at $3, and it's plenty for simple jobs (sorting, short summaries, extraction).
  • Avoid the nasty surprises. A hundred-page PDF contract is roughly 125,000 input tokens. If you run it on a loop inside a scenario, the bill climbs fast.

Where you'll run into it

At console.anthropic.com/settings/usage, you get a chart showing tokens consumed on input and output, day by day and model by model. In claude.ai, a "Long conversation" indicator shows up as you approach the limit. In Cursor or Claude Code, a counter at the bottom of the screen tells you the session's usage. To estimate a piece of text before sending it, there's an online tool: claude-tokenizer.vercel.app, you paste your text and see the exact count.

console.anthropic.com/settings/usage
Usage · Apr 2026 FILTER: Sonnet 4.6 ▾
M 14
T 15
W 16
T 17
F 18
S 19
S 20
Input tokens Output tokens
Input (green) and output (pink) side by side — output costs 5× more

How to estimate — step by step

  1. Count the number of words in the document you want to send (right-click → Properties in Word, or at the bottom of Google Docs).
  2. Multiply by 1.3 if it's in English, 1.5 if it's in French. That gives you the input token count. Good to know: French costs about 14% more than English for the same volume, because the tokenization is less optimized.
  3. Estimate the length of the expected answer and multiply that by 1.5 too. Those are your output tokens.
  4. Apply the model's pricing. Simple rule to memorize: output costs five times more than input. So a short prompt asking for a long summary costs more than a long document with a short question at the end.
  5. If you want the exact figure, run your text through claude-tokenizer.vercel.app.

A few visual landmarks: 1,000 tokens ≈ 500 to 650 words in French, roughly one A4 page. The context window (what Claude can read in one go) is 1 million tokens on Sonnet 4.6 and Opus 4.6/4.7, so about 1,500 pages. Easily enough to feed it a whole book.

You can skip it if…

You only use the Claude Pro subscription ($20/month) or Max ($200/month) through claude.ai or the app. On those plans, you get a message quota, not a per-unit count. Tokens become a topic the day you plug the API into an automation tool — and even then, for reasonable use, you're often at a few dollars a month. The real risk to watch is the loop running over 1,000 prospects with nobody watching: there, a 50-page PDF run through Opus can climb to $310 without warning. Hence the spending limit to set in Billing (see entry #01). I might be off on a price, the grid moves — check on anthropic.com/pricing before you cost out a project.

04
— Technical word · #04

CLI / Terminal

In one sentence: a text window on your computer where you type orders on the keyboard instead of clicking with the mouse.

The analogy that clicks

Imagine texting back and forth with your computer. No buttons, no icons, no menus. You type a sentence, it replies. That's it. The first time I opened it, that black window scared me. In reality, it's just a chat box. Quick vocabulary: CLI = the principle (command-line interface), Terminal = the app that opens the window, Shell = the engine running inside it (bash or zsh on Mac, PowerShell on Windows). You don't need to memorize this, I'm just leaving it here in case you come across it.

What it actually does for you

  • Install a tool a tutorial tells you to copy and paste (Claude Code, Node.js, Homebrew).
  • Launch Claude Code in a folder on your computer by simply typing claude.
  • Run a little program a contractor sent you, without going through a technical team.

Where you'll run into it

In YouTube video tutorials (that famous black window). On the official page claude.com/download. Whenever an article says "run this command" (something like brew install… or npm install…), that's it. On Mac, you open it with Cmd+Space then type "Terminal." On Windows, it's "Windows Terminal" in the Start menu.

Terminal — my-project — 80 × 24
jeremy@macbook ~ $ cd Documents/my-project
jeremy@macbook my-project $ ls
README.md   index.html   package.json   .env
jeremy@macbook my-project $ claude
Claude Code v3.2 · ready to help
Reading CLAUDE.md
3 skills loaded (cold-email, seo-audit, copywriting)
 
3 commands for life: cd (enter) · ls (list) · claude (launch Claude Code)

How to use it — step by step

  1. On Mac: press Cmd+Space, type "Terminal," confirm with Enter. If you want something prettier later: Ghostty (free) or Warp (paid, with built-in AI).
  2. On Windows: open "Windows Terminal" from the Start menu, it's pre-installed. By default it launches PowerShell, which will do the job.
  3. Copy the command the tutorial gives you, paste it into the window, press Enter, wait for the machine to respond.
  4. If you see a red error, don't panic: copy it, paste it into Claude, ask it to translate it and give you the fix.

The 3 commands that cover 90% of cases: cd folder-name to enter a folder, ls to see what's inside, claude to launch Claude Code in it.

You can skip it if…

Since April 14, 2026, Anthropic has released the Claude Code desktop app for Mac and Windows. You download it at claude.com/download, double-click the .dmg file (Mac) or .exe (Windows), and use Claude Code without ever opening the terminal. The "Code" tab in Claude Desktop, and that's it. Here's the real good news of 2026: you can get started today without touching the black window. The day you want to go further, the 3 commands above will do. I might be off on your needs, but honestly, 9 entrepreneurs out of 10 will never have to open it.

05
— Technical word · #05

MCP (Model Context Protocol)

In one sentence: a standard plug that lets any AI (Claude, ChatGPT) hook into any tool (Gmail, Notion, Stripe, your database) without writing a custom integration.

The analogy that clicks

It's the USB-C of artificial intelligence. Remember before: every device had its own cable. One for the iPhone, another for the Kindle, a third for the headphones, and you rummaged through a drawer full of wires to find the right one. USB-C imposed a single universal plug. You plug in, it works. MCP does exactly the same thing for AI: one plug, and any AI can talk to any tool you already use. No adapter, no custom project at €15,000. It was Anthropic (the company behind Claude) that launched the standard in November 2024, and OpenAI adopted it in turn in March 2025. Today Google and Microsoft too. It became the norm in under 18 months.

What it actually does for you

  • Hook Claude up to your Gmail: it reads your emails, sorts them, drafts replies for you.
  • Hook Claude up to Notion: it creates pages, updates a database, digs up a note anywhere in your workspace.
  • Hook Claude up to Stripe or to your database: you ask "summarize this week's sales" and it queries the real data live, not an estimate.
  • On the numbers side: more than 10,000 MCP connectors available by the end of 2025, 97 million downloads a month. It's no longer a gadget, it's a standard building block.

Where you'll run into it

In Claude Desktop: Settings → Connectors (or "MCP connectors" depending on the version). In ChatGPT Desktop: Settings → Connectors, since March 2025. In the Claude Code app: the /mcp command. The official catalog is at modelcontextprotocol.io/servers, where you can browse every available connector.

claude.ai — Settings → Connectors
Connectors (MCP connectors) + Add connector
Gmail
Read, sort, draft replies
Connected
Notion
Create pages, search the workspace
Connected
Slack
47 actions: search, post, workflows
Not connected
Stripe
Conversational sales dashboard
Not connected
You pick from the list · connect in 1 click · no custom project

How to use it — step by step

  1. Open Claude Desktop (the app you installed) or go to claude.ai in your browser.
  2. Click your name at the bottom left, then Settings, then Connectors.
  3. Click Add connector. You pick from the list: Gmail, Notion, Slack, Google Drive, Calendar, Stripe, etc.
  4. You sign in to your Gmail account (or another) just like logging into a normal app. You click "I authorize." That's it.
  5. Back in Claude, you test it by typing: "Summarize my 10 most recent unread emails." It does it.

The most useful connectors when you're an entrepreneur: Gmail and Google Workspace (read/sort/draft, calendar, Drive, Sheets), Notion (official, create and search your pages), Slack (47 actions available), Stripe (conversational sales dashboard), Supabase or HubSpot (query your customer database in plain English).

You can skip it if…

You have absolutely nothing to install to start using an AI. Claude and ChatGPT work perfectly fine without any MCP connector. You copy-paste them some text, you ask them a question, they answer. MCP is the layer you add the day you want the AI to act directly on your real tools (your Gmail, your Notion, your database) instead of you copy-pasting all day long. If you're just starting out, install Claude Desktop, use it for 2 weeks like a classic chatbot. When you feel you're wasting time recopying the same content from Notion into Claude, that's the day you come back here and connect the Notion connector. Not before.

06
— Technical word · #06

Model (Opus / Sonnet / Haiku)

In one sentence: a Claude model is the version of the AI's brain that you choose based on how hard your request is. The three main ones are called Opus, Sonnet and Haiku.

The analogy that clicks

Imagine three engines in the same garage. Opus is the racing V8: it can do anything, but it drinks fuel and it costs. Sonnet is the family hybrid: powerful when needed, reasonable day to day. Haiku is the electric city car: you take it out for errands, it's quick, it won't break the bank.

I don't pick the V8 to go grab bread. I don't take the city car to cross Europe. With Claude models, it's the same: you match the tool to the mission.

What it actually does for you

  • Steer three levers at once: intelligence, speed and cost. The more powerful the model, the more it costs per request.
  • Opus saves you the back-and-forth when you want clean strategic reasoning right the first time (an acquisition plan, a contract review, a complex trade-off).
  • Sonnet is my default setting for about 90% of uses: writing, research, synthesis, replying to emails.
  • Haiku saves up to 80% on repetitive high-volume tasks: sorting 500 emails, extracting data from a list of invoices, tagging leads.
Model Exact identifier Input ($/M tokens) Output ($/M tokens) Memory When to pick it
Opus 4.7 claude-opus-4-7 $5 $25 1 million Complex reasoning, strategic analysis
Sonnet 4.6 claude-sonnet-4-6 $3 $15 1 million Default: writing, research, everyday work
Haiku 4.5 claude-haiku-4-5 $1 $5 200,000 Classification, extraction, high volume

Rough orders of magnitude: Opus costs about 5 times Haiku, Sonnet about 3 times Haiku. Official Anthropic pricing, April 2026.

Where you'll run into it

The word "model" shows up in three different places, and that's often what gets confusing.

  • On claude.ai (Pro or Max subscription): a dropdown menu at the top of the conversation, next to the title. You'll read something like "Claude Sonnet 4.6 ▾." You click, you switch.
  • In Claude Code (the app in the terminal): the /model command shows the list and lets you switch (/model opus, /model haiku).
  • On a tool that connects the AI to something else (Cursor, n8n, Zapier, an API): a "model" field where you paste the exact identifier from the table above.
claude.ai — conversation
Claude Sonnet 4.6
Claude Opus 4.7
Max reasoning, strategic analysis
Pricier
Claude Sonnet 4.6
Default · versatile
✓ Active
Claude Haiku 4.5
Fast, economical, volume
Fast
Click the model name up top · pick from the list · that's it

How to use it — step by step

  1. On claude.ai: click the model name at the top of your conversation, then select the one you want from the list that opens.
  2. In Claude Code: type /model in the window, a list appears, pick the one you're after.
  3. On a third-party tool (n8n, Zapier, Cursor, an API integration): copy the exact identifier (for example claude-sonnet-4-6) and paste it into the configuration's "model" field.
  4. Test the same prompt on two models when you're unsure: you'll immediately see the difference in quality and speed, and you'll decide with full knowledge.

You can skip it if…

…you're just starting out. Leave Sonnet 4.6 as the default, it's the balanced setting for the vast majority of cases. You'll deal with the model choice when you get a clear signal: either the cost climbs because you're processing large volumes (switch to Haiku), or the quality falls short on a specific task (switch to Opus for the duration of the mission).

07
— Technical word · #07

Skill & Agent (the difference, finally clear)

In one sentence: a skill is a specialty manual that Claude opens when it needs it. An agent is Claude let loose on its own on a mission, moving forward until it's done.

The analogy that clicks

You walk into a restaurant. On the cook's counter there are several manuals: Italian cooking, pastry, sushi. The cook opens the right manual the moment they need it. Those manuals are the skills. On their own, they cook nothing. They make the cook competent in a specific area the moment they get to it.

The agent is the chef you send to do the shopping, come back, cook, plate up and serve. You say "make dinner," you go back to your own business, and they run through the steps on their own until the plate lands on the table. And while they cook, they can absolutely open a manual (a skill) for tonight's Italian recipe.

Summary: an agent can use skills. A skill, on the other hand, never acts on its own.

Skill Agent
What it is A folder with specialized instructions and resources A program that runs on a loop, decides and carries out actions
Active or passive Passive: Claude opens it automatically when the situation matches Active: it chooses its steps, chains them, stops when the mission is done
Who triggers it Claude, on its own, by recognizing the need You, via a button, a command, an incoming email or a scheduled time
Examples A "prospecting email" skill, an "SEO audit" skill, an "Eurofiscalis article" skill A watch agent scanning 100 sources, an agent sorting your inbox, a sales agent
What you have to do Drop the folder in the right place once, then forget it: it triggers itself Launch it, keep an eye on it now and then, set the limits of its mission

What it actually does for you

  • A skill installs an expertise once and for all. Example: I have a "prospecting email" skill. Every time I ask "write me an email to this prospect," Claude automatically applies the skill's best practices without me having to remind it.
  • An agent carries out a multi-step mission while you do something else. Example: a watch agent that reads 100 sources every morning, filters out the noise, summarizes the essentials and pings you when it's done.
  • The combo: my watch agent uses an "editorial synthesis" skill when it writes the final summary. The agent drives, the skill provides the method.

Where you'll run into them

Skills, you'll mostly see them in Claude Code (the /skill list and /skill create commands), in the Team and Enterprise versions of claude.ai (centralized management in the admin), and in the skills pack I share (they're folders named SKILL.md in a ~/.claude/skills/ directory).

Agents, you'll come across them in articles talking about a "watch agent" or a "sales agent," in Claude Code itself (which is an agent), in tools like n8n or Zapier when they call Anthropic's Agent SDK, or in ready-made SaaS offerings that wrap all of this up for you.

~/.claude/skills/ — my installed skills
.claude / skills
cold-email
SKILL.md
templates.md
seo-audit
SKILL.md
references/
copywriting
SKILL.md
humanizer
SKILL.md
1st mockup · a skill = a folder with a SKILL.md inside · you copy it once, Claude loads it on its own
Claude Code — watch agent running
Agent "watch-ai" started · Apr 20, 08:00
100 sources loaded (blogs, X, YouTube, newsletters)
Skill "editorial-synthesis" activated
 
[1/100] Scanning thepragmaticengineer.com...
[2/100] Scanning simonwillison.net...
[3/100] Scanning latent.space...
2 relevant articles detected
...
Summary written in markdown
Sent to jeremy@sagnier.me
 
Mission accomplished · duration 4m 32s
2nd mockup · an agent runs on its own · here it uses a skill along the way · mission done, it stops

How to put them to work — step by step

  1. For a skill: download or copy the skill's folder, drop it into ~/.claude/skills/skill-name/. Inside, there's a SKILL.md file with a description. Claude reads that description automatically and activates the skill as soon as it recognizes the right context. You don't need to call it by hand.
  2. For an agent: either you use Claude Code (which is already a working agent day to day), or you go through a tool that wraps it up cleanly (n8n, Zapier, a SaaS solution), or you have a custom agent built via Anthropic's Agent SDK.
  3. To check a skill works: fire off a request that matches its specialty and watch whether Claude applies the skill's method without you reminding it. If so, it's in place.
  4. To check an agent works: give it a simple mission with a clear finish line ("scan these 10 sources, send me a summary"), check the result, tweak its instructions if needed.

You can skip them if…

…you only use Claude for one-off questions in the chat. No need for a skill if you never repeat the same type of request. No need for an agent if you're not looking to delegate a multi-step mission without supervision.

On the other hand, the moment you catch yourself giving the same instructions twice ("write like this, follow this plan, avoid that"), that's the right time to install a skill. And the moment you repeat a chain of actions every week (read sources, synthesize, publish), that's the right time to look at agents.

Rest assured: you have nothing to program. Skills get copied into a folder. Agents already exist as ready-to-use tools.

08
— Technical word · #08

Plugin & Marketplace

In one sentence: a plugin is a ready-made pack of skills, commands and agents that you add to Claude Code in one line. The marketplace is the official store where you grab them.

The analogy that clicks

Imagine a smartphone straight out of the factory. It works, but there's not much on it: phone, texts, browser. You open the App Store, you download WhatsApp, Notion, Spotify. In 3 minutes your phone has 10 new superpowers.

It's exactly that for Claude Code. On a base install, it knows how to code and answer. With a plugin, you add a pack of expertise in one command: a working method, a framework's up-to-date docs, automatic review, and so on. Anthropic's official marketplace lists over 140 of them, all tested and signed.

What it actually does for you

  • Install a complete methodology in one command (superpowers) instead of rewriting it yourself in your CLAUDE.md.
  • Wire a framework's up-to-date official docs into Claude Code (context7) · no more outdated answers from Claude about Next.js or Supabase.
  • Get polished front-end interfaces without briefing 20 lines of prompt (frontend-design triggers on its own).

The 6 plugins I use

My pick after several weeks of testing. All installable from the official marketplace with claude plugin install <name>.

Plugin What it brings
superpowers Project methodology · 14 skills + 3 slash commands (/brainstorm, /write-plan, /execute-plan). Forces Claude to spec things out before coding.
context7 Up-to-date docs for any framework. Claude no longer answers based on a 2-year-old version.
claude-md-management /revise-claude-md command · audits and improves the CLAUDE.md of your current project.
frontend-design A skill that triggers on its own for UI overhauls. Generates production-grade front-end.
code-review /code-review command · specialized multi-agents before a commit.
code-simplifier An agent that simplifies generated code. Handy when Claude wrote 400 lines for what deserved 100.
Terminal — installing the 6 plugins
jeremy@macbook ~ $ claude plugin install superpowers
Successfully installed plugin: superpowers@claude-plugins-official
jeremy@macbook ~ $ claude plugin install context7
Successfully installed plugin: context7@claude-plugins-official
jeremy@macbook ~ $ claude plugin list
✔ superpowers · context7 · claude-md-management · frontend-design · code-review · code-simplifier
 
One command per plugin · check the state with claude plugin list

How to install — step by step

  1. Open your terminal (see entry #04 CLI / Terminal if you're not comfortable with it).
  2. List the plugins already installed with claude plugin list to know where you stand.
  3. Install a plugin with claude plugin install <name>. For example claude plugin install context7.
  4. Restart Claude Code (close and relaunch) so the new slash commands are recognized.
  5. Test it. For superpowers: type /brainstorm in Claude Code on an article idea. For claude-md-management: /revise-claude-md.

You can disable without uninstalling with claude plugin disable <name> · re-enable with claude plugin enable <name>. Always tested and reversible.

You can skip it if…

…you're a complete beginner. Plugins only make sense once you've used Claude Code for at least a week and spotted what you're missing. For your first days, stick with Claude Code and no plugins · you'll quickly see the frustrations, and each plugin answers one of them precisely.

On the other hand, the moment you think "I wish Claude knew the latest version of Next.js" or "my working method isn't being respected every time," that's the right moment. One command line, and it's installed forever, across all your projects. You don't touch anything else.

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Move on to the full glossary.

The 8 basics are kept separate so they stay readable. The full glossary, on the other hand, is built for quick searching across all 70 terms and for opening the detailed pages when you need to go further.

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AI glossary A-Z

70 words, filters, instant search, alphabetical index and 24 dedicated pages.

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