Distill-Me personalizes Claude by extracting your unique decision-making patterns and values.

Distill-Me

Distill yourself into a SKILL.md. Learns your judgment, style, and priorities from Claude data.

Skills teach Claude how to do a type of work. Distill-Me teaches Claude how to do work like you.

Most memory tools capture "prefers tabs over spaces." Distill-Me captures "makes decisions by checking evidence before trusting reports, ships fast and iterates, handles ambiguity by demanding honest opinions, and their corrections reveal past bad experiences with over-helpful AI."

How It Works

/distill-me:distill

One command. Scans your Claude sessions, memories, and rules. Extracts behavioral patterns at three depths:

Layer 1: Observable     — what you literally say and do
Layer 2: Interpretive   — what your patterns reveal about how you think
Layer 3: Contrastive    — what makes you DIFFERENT from most people

Output goes to ~/.claude/CLAUDE.md (loads everywhere) and the plugin's skills/enhanced-self/SKILL.md.

Scanned data stays on disk. Analysis is done by Claude (via API), same as any Claude Code session.

Install

git clone https://github.com/LewenW/claude-distill-me.git
cd claude-distill-me
pip install -e .

# Register MCP server
claude mcp add distill-me -e PYTHONPATH="$(pwd)/src" -- python -m distill_me.server

Usage

/distill-me:distill        # extract patterns → personal skill
/distill-me:distill pm     # same, fused with PM best practices

What Gets Extracted

Three categories, each with three-layer depth:

Decision-Making & Cognitive Patterns

How you choose when presented with options
Your implicit decision framework (evidence-driven? gut? speed-first?)
Risk calibration and when it shifts by context
What your guardrails reveal about past experiences
What makes your reasoning different from most people

Communication & Personality

Voice, language mixing patterns, message length as priority signal
Your relationship with AI and how it shifts by task
Emotional register — what triggers excitement, frustration, dismissal
Gap between how you write and how you want Claude to write
What makes your voice impossible to confuse with someone else's

Values & Work Philosophy

Stated preferences vs revealed preferences (where they diverge)
Values hierarchy — when two priorities conflict, which wins
Root values driving surface decisions
Meta-cognition: how you learn, handle your own mistakes

<details> <summary>Example output (click to expand)</summary>

## Decision-Making & Cognitive Patterns

- **Pattern**: When receiving external input (bug reports, reviews), this user
  verifies each claim against current code before acting — because they've been
  burned by trusting reports that were already handled.
  **Evidence**: "很多之前报的 bug 实际上已经在代码中处理了"
  **Depth**: interpretive

- **Pattern**: When scoping work, cuts aggressively — only fixes functional +
  consistency issues, skips low-impact edge cases. This isn't laziness; it's a
  trained instinct that scope creep kills shipping velocity.
  **Evidence**: "Bug 1 和 Bug 3 值得修。其余都是极端边缘情况，不动。"
  **Depth**: deep

## Communication & Personality

- **Pattern**: Uses 2-5 word commands for routine tasks ("推", "好啦", "帮我弄吧")
  but switches to detailed paragraphs when stakes are high. Message length IS
  the priority signal — short means "just do it", long means "think carefully."
  **Depth**: interpretive

- **Pattern**: Hates AI smell in output. Not just banned words ("leverage",
  "robust") — the underlying objection is to THINKING that produces generic,
  hedge-everything, please-everyone output. Wants opinionated, specific, direct.
  **Depth**: deep

</details>

Role Fusion

Fuse your personal patterns with role-specific best practices:

/distill-me:distill pm                    # built-in PM template
/distill-me:distill discord/bot-builder   # from installed Cowork plugin

Two sources of roles:

Built-in templates — references/role-templates/*.md (ships with PM)
Installed plugins — any Cowork plugin in ~/.claude/plugins/ with a SKILL.md

Install a Cowork plugin, and its skills automatically become available as roles. Personal patterns always take priority — the role template adapts to fit you, not the reverse.

Configuration

All limits are configurable via environment variables:

Variable	Default	What it controls
`DISTILLME_SCAN_DAYS`	30	How many days of history to scan
`DISTILLME_MAX_SESSIONS`	20	Max session files to read
`DISTILLME_MAX_TOTAL_TURNS`	100	Max turns to collect
`DISTILLME_MAX_ANALYSIS_TURNS`	80	Turns sent to analysis
`DISTILLME_MAX_MESSAGE_CHARS`	2000	Per-message truncation
`DISTILLME_MAX_MEMORY_CHARS`	1000	Per-memory truncation
`DISTILLME_EXCLUDE_PROJECTS`	(none)	Comma-separated project names to skip

Set them in your .mcp.json env block or shell profile.

Data Sources

Source	Location
Session logs	`~/.claude/projects//.jsonl`
Memory files	`~/.claude/projects//memory/.md`
CLAUDE.md	`~/.claude/CLAUDE.md` + project-level
memory-bridge	`~/.claude/shared-memory/`

MCP Tools

Tool	Purpose
`scan_user_data()`	Collect all data, return three-layer analysis prompts
`save_extracted_patterns()`	Write judgment/style/priorities to disk
`generate_personal_skill()`	Build SKILL.md from patterns + optional role fusion

Structure

├── commands/distill.md              # /distill-me:distill command
├── skills/
│   ├── self-distill/SKILL.md        # extraction quality guide
│   └── enhanced-self/SKILL.md       # [generated] your personal skill
├── references/role-templates/pm.md  # PM best practices
└── src/distill_me/
    ├── server.py                    # MCP server (3 tools)
    ├── scanner.py                   # data collection
    ├── extractor.py                 # three-layer extraction prompts
    └── generator.py                 # SKILL.md + CLAUDE.md injection

Relation to memory-bridge

memory-bridge stores and shares memories across projects. Distill-Me reads that data and goes further — it extracts behavioral patterns.

memory-bridge remembers what you said. Distill-Me learns how you think.

Platform Compatibility

Works everywhere Claude loads ~/.claude/CLAUDE.md:

Feature	Claude Code CLI	Desktop	Cowork
MCP tools	yes	yes	needs bridge
`/distill-me:distill`	yes	yes	yes
Output to CLAUDE.md	yes	yes	yes

Requirements

Python 3.10+
mcp>=1.0.0
Claude Code (CLI or Desktop)

License

MIT