attune-hub

Attune Hub

IMPORTANT: Start your response by telling the user:

Attune Hub — Your starting point — discovers what you need and routes you to the right skill.

Scoping

If no argument is provided, use AskUserQuestion:

question: "What are you trying to accomplish?"
header: "attune-ai"
options:
  - label: "Run a workflow"
    description: "Security audit, code review, test gen, perf, release prep"
  - label: "Manage memory"
    description: "Store, retrieve, search, or forget patterns"
  - label: "Configure settings"
    description: "Check setup, update attune-ai, view telemetry"
  - label: "Learn what attune-ai does"
    description: "Overview of capabilities and skills"

Execution

Based on the user's answer or arguments, describe the intent so Claude matches the right skill:

Input	Describe to Claude
"Run a workflow" or security	"Run a security audit on the code"
"Run a workflow" or review	"Review the code for quality issues"
"Run a workflow" or tests	"Generate tests for uncovered code"
"Run a workflow" or perf	"Analyze code for performance issues"
"Run a workflow" or release	"Prepare for a release"
"Run a workflow" or bugs	"Predict likely bug locations"
"Manage memory" or memory	"Store or retrieve from memory"
"Configure settings" or setup	Run attune doctor and attune auth
"Configure settings" or update	Run pip install --upgrade attune-ai

Natural Language Routing

Pattern	Route to
"security", "vulnerability", "audit"	security-audit skill
"review", "quality", "code review"	code-quality skill
"test", "generate tests", "coverage"	smart-test skill
"performance", "bottleneck", "optimize"	workflow-orchestration skill
"release", "publish", "ship"	release-prep skill
"bug", "predict", "risk"	bug-predict skill
"run all audits", "full sweep", "what should I fix"	discovery-sweep skill
"memory", "store", "remember"	memory-and-context skill
"docs", "documentation"	doc-gen skill
"plan", "feature", "architecture"	planning skill
"refactor", "tech debt", "simplify"	refactor-plan skill
"spec", "brainstorm", "plan and execute"	spec skill
"scope this", "ask me everything at once", "discovery form"	elicit skill

When the scoping turn has 2–4 independent, non-branching, genuinely open dimensions (e.g. goal + scope + focus), gather them as one form via the elicit skill instead of sequential buttons — preferring the rich widget surface (elicitation_render_widget → show_widget, so free-text dimensions are textareas and concerns are multi-select checkboxes), with the AskUserQuestion mapping as the fallback (see the elicit skill's "Choosing a surface"). Stay single-question when only one dimension is unknown or answers branch.

Single-referent resolution

Before acting on a terse confirmation (go, do it, y, 1), make sure exactly one referent is obvious from the prior turn — that you can fill in "go [doing X]" with a single, unambiguous X.

• If the prior turn left multiple proposals on the table, the referent is unresolved — ask which one before executing, don't guess the most likely.
• Restate the referent as you act ("Running the security audit on src/ —") so the user can catch a mismatch immediately.

This is advisory guidance for the broader conversation; the one enforceable foothold is the AskUserQuestion one-question-per-turn rule (a single turn can't bundle multiple ambiguous decisions). See docs/specs/collaboration-gates/ (R9/R10).

Skills Reference

Skill	Triggers
security-audit	security, vulnerability, audit, scan
code-quality	review, quality, bugs, code smell
bug-predict	predict bugs, risky code, what might break
discovery-sweep	run all audits, full sweep, what should I fix, triage findings
doc-gen	generate docs, documentation, README
smart-test	generate tests, test gaps, coverage
fix-test	fix test, broken test, debug test
planning	plan, feature, architecture, TDD
refactor-plan	refactor, tech debt, simplify
release-prep	release, publish, deploy
memory-and-context	memory, store, retrieve, empathy
workflow-orchestration	workflow, run, analyze
spec	spec-driven dev, brainstorm and execute
rag-code-gen	grounded code, cite sources, verify against attune (needs [rag] extra)
coach	coach, learn, explain, tell me more, deeper
recall	recall, remember, what did I learn, prior session, past findings
verify	verify docs, fact-check, did the model hallucinate, check generated content
bulk	batch, bulk process, 50% savings, overnight analysis
catalog	catalog, list capabilities, browse, what can attune do
personal-memory	remember this for me, capture this decision, save to personal memory, my saved topics, forget topic
image-analysis	analyze this image, look at this screenshot, what's in this diagram, read this mockup
elicit	scope this, discovery form, ask me everything at once, multi-select question
author-feature	author a feature page, single-source doc, new feature master, draft docs without an api
roundtable	roundtable, convene the table, ask the table, what do the other models think

MCP Server Not Running

If the MCP server is not responding, run:

pip install attune-ai
attune doctor