Attune AI
The 21st century help system for developer tools.
Static docs rot. READMEs go stale the moment you merge.
Help pages don't know if you're a beginner or an expert.
Nobody maintains them — and it shows.
Attune AI is a different approach. Documentation is
authored once as templates, rendered at runtime
with audience awareness, maintained automatically by
AI agents, and learned from based on how people
actually use it. The result is a living knowledge base
that stays accurate, adapts to who's reading, and
improves over time — without anyone manually updating
markdown files.
The same system powers 18 multi-agent workflows, 13
auto-triggering skills, and 38 MCP tools — all of which
double as the authoring and assistance toolkit for
building and maintaining knowledge bases at scale.
How It Works
1. Authored as Templates
540 templates across 11 types — errors, warnings, tips,
references, tasks, FAQs, notes, quickstarts, concepts,
troubleshooting, and comparisons. Each template has
structured frontmatter (tags, related links, audience
hints) and a markdown body. Templates are the source of
truth; rendered output is ephemeral.
2. Rendered at Runtime
Help adapts to the reader. Progressive depth
escalates across template types as you ask again:
First ask → concept (what is this?)
Second ask → task (how do I use it?)
Third ask → reference (show me the details)
Audience adaptation adjusts verbosity and framing
for Claude Code users, CLI users, and marketplace
readers — from the same source template.
Precursor warnings surface relevant errors and
warnings before you hit them, based on the file
you're editing.
3. Maintained by AI
A 5-phase maintenance workflow detects stale templates,
prioritizes by usage feedback, regenerates via batch API,
rebuilds cross-links, and validates the result — all
without manual intervention.
detect → map → regenerate → rebuild → validate
Templates that help people more get maintained first.
Templates nobody reads get deprioritized. The knowledge
base optimizes itself.
4. Learned from Usage
Every template lookup is tracked. Feedback ratings
adjust template confidence scores. Usage telemetry
weights priorities so the maintenance workflow focuses
on what matters. The help system gets better the more
you use it.
The Toolkit
The help system doesn't just contain knowledge — it
comes with tools to build, maintain, and deliver it.
These same tools power attune-ai's own 540 templates,
proving the approach works at scale.
| |
|---|
| 18 Multi-Agent Workflows | Code review, security audit, test gen, release prep — specialist teams of 2-6 Claude subagents that also serve as knowledge-authoring pipelines |
| 38 MCP Tools | Every workflow exposed as a native Claude Code tool via Model Context Protocol, including help_lookup (4 modes) and help_maintain (auto-regeneration) |
| 13 Auto-Triggering Skills | Say "review my code" and Claude picks the right skill — each skill integrates contextual help from the template engine |
| Portable Security Hooks | PreToolUse guard blocks eval/exec and path traversal; PostToolUse auto-formats Python |
| Socratic Discovery | Workflows ask questions before executing, not the other way around |
Get Started in 60 Seconds
Plugin (works standalone)
claude plugin marketplace add Smart-AI-Memory/attune-ai
claude plugin install attune-ai@attune-ai
Then say "what can attune do?" in Claude Code. That's it.
Add Python Package (unlocks CLI + MCP)
pip install 'attune-ai[developer]'
Smart-AI-Memory