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Quickstart: The Plugin (Claude Code)

The fastest way to use Attune AI is as a Claude Code plugin. Install it once, then drive everything — code review, security audits, test generation, spec-driven development — with plain English in your normal Claude Code session.

No CLI to learn. No Python package. No separate API key — the plugin runs inside the Claude Code session you already have.

Prefer the CLI or Python?

This page is the plugin-first path. If you'd rather run workflows from a terminal or from code, start with First Steps instead — it covers the attune CLI and the Python API.


What you get

The plugin ships 17 auto-triggering skills. You don't memorize commands — you describe what you want, and the right skill activates.

Say something like… Skill that activates What it does
"review this file for quality issues" code-quality Code review + bug prediction
"scan src/ for vulnerabilities" security-audit eval/exec, secrets, injection, path traversal
"what tests am I missing?" smart-test Finds coverage gaps, generates tests
"this test keeps failing" fix-test Diagnoses and fixes, up to 3 attempts
"help me plan this feature" planning Architecture + TDD planning
"let's build X from a spec" spec Brainstorm → plan → execute with quality gates
"what can attune do?" attune-hub Routes you to the right skill

Step 1 — Install the plugin (1 min)

In Claude Code:

claude plugin marketplace add Smart-AI-Memory/attune-ai
claude plugin install attune-ai@attune-ai

That's it. The skills are now available in every Claude Code session — no API key, no config file.


Step 2 — Orient yourself (30 sec)

Ask the hub what's available:

what can attune do?

The attune-hub skill activates and routes you to the workflow that fits your goal. Use this whenever you're not sure which capability you want.


Step 3 — Run your first real workflow (3 min)

Point it at code you actually care about. Two good first runs:

Code review — open a file (or just name it) and ask:

review src/payments.py for quality issues and likely bugs

The code-quality skill spins up a small team of specialist subagents, reads your real source, and returns prioritized findings with file/line references and suggested fixes.

Security audit — for a vulnerability-focused pass:

do a security audit on the src/ directory

The security-audit skill scans for eval/exec misuse, hardcoded secrets, path traversal, and injection risks, then reports each finding with severity and a fix.

Either one shows you the core pattern in a couple of minutes: describe the goal → specialist agents review your real code → you get actionable, cited findings.


Step 4 — Go deeper (optional)

Once the basics click, the highest-leverage skill is spec-driven development:

/spec

This walks you from a rough idea through requirements, design, and an ordered task list — with human approval gates between phases — then executes the tasks. It's the recommended path for anything non-trivial.

Other skills worth trying by name or description:

  • smart-test — "find untested code in this module and write tests for it"
  • refactor-plan — "this file has too much going on, plan a refactor"
  • release-prep — "get me ready to cut a release"
  • recall — "did I hit this problem in a past session?"

What's next

If you want to… Go to
Run workflows from a terminal or Python First Steps
Add the full MCP toolset (41 tools) + CLI MCP Integration
Pick a longer learning path Choose Your Path
See every workflow First Steps → Try More Workflows

Plugin vs. package

The plugin gives you the 17 natural-language skills with zero setup. Installing the Python package (pip install attune-ai) adds the attune CLI, the MCP server, and 41 MCP tools on top. You can start with the plugin today and add the package later — they layer cleanly.