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Seven archetypes, a skill radar, and what your Claude sessions actually reveal

Anthropic's February 2026 study classified 11 observable collaboration behaviors across 9,830 Claude conversations. The researchers called it the AI Fluency Index.

I wanted to run the same classification on my own session history - not to benchmark against other users, but to find out which of the 11 behaviors I never touched. The result is skill-tree.

How It Works

skill-tree reads your Claude Code or Cowork session files, runs a remote classifier against the same 11-behavior taxonomy from Dakan and Feller's 4D AI Fluency Framework (three observable axes: Description, Discernment, Delegation - the fourth, Diligence, doesn't show up in chat logs), and assigns you one of seven archetype cards rendered as tarot cards with curated museum art.

The archetypes - Illuminator, Navigator, Alchemist, and four others - aren't just cosmetic. Each maps to a distinct behavioral cluster:

  • Illuminator - front-loads context and over-explains
  • Navigator - iterates tightly and discards failed directions fast

Seeing which card you land on tells you something your git history doesn't: not what you shipped, but how you collaborated to get there.

You can see a live rendered example at skill-tree-ai.fly.dev/fixture/illuminator.

Growth Quests

The growth quest piece is what I actually find useful day-to-day. After classification, the tool picks one behavior from your blind spots and pins it as a quest via the SessionStart hook, so it shows up at the top of your next Claude Code session. The state persists in ~/.skill-tree/ between sessions.

Pipeline Performance

The full pipeline - find session files, extract user messages, classify remotely via Claude Haiku on Fly.io, assign archetype, synthesize narrative, render the card, return a stable URL - runs in 30 to 60 seconds.

Installation

Install in Claude Code:

claude plugin marketplace add robertnowell/ai-fluency-skill-cards
claude plugin install skill-tree-ai@ai-fluency-skill-cards

Also works in Cowork via skill-tree-ai.zip, or as an MCP server (npm package skill-tree-ai) for Cursor, VS Code, and Windsurf.

https://github.com/robertnowell/ai-fluency-skill-cards

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