Digital Clone

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Corpus-driven digital clone toolkit — collect, refine, and assess persona data from AI conversations and writings.

Digital Clone combines a CLI/MCP data pipeline with a Claude Code Skill. The tools handle the mechanical work (scanning, cleaning, deduplication, PII sanitization, quality assessment). The Skill handles what AI does best (personality extraction, system prompt generation, verification).

At A Glance

Layer	What it does
Ingest	Scan Claude Code, Codex, Gemini CLI transcripts + markdown + articles
Refine	Deduplicate, sanitize PII, normalize format
Quality	Volume, purity, coverage, recency assessment
Soul Forging	Personality extraction + System Prompt generation (Skill)
Verify	Test case templates + scoring rubric
Deploy	Platform-specific deployment guides

Two Modes

• Self Mode: clone yourself from local AI conversations and writings
• Mentor Mode: clone a public figure from manually collected corpus

Quick Start

git clone https://github.com/AliceLJY/digital-clone-skill.git
cd digital-clone-skill
npm install

# initialize workspace
bun run src/cli.ts init --target "Your Name" --mode self

# scan your AI conversations
bun run src/cli.ts ingest --source all

# clean and deduplicate
bun run src/cli.ts refine

# check corpus quality
bun run src/cli.ts quality

Then invoke the Skill in Claude Code for Soul Forging (Stage 4).

CLI Commands

Command	Description
clone init	Initialize workspace and config
clone ingest --source <src>	Scan corpus (cc, codex, gemini, memory, articles, all)
clone import <path>	Import external files (Mentor Mode)
clone refine	Clean, dedup, sanitize
clone quality	Generate quality report
clone stats	Show corpus statistics
clone verify-template	Generate test case template
clone deploy-guide --platform <p>	Generate deployment guide

MCP Tools

Tool	Description
clone_ingest	Scan and collect corpus
clone_refine	Clean and deduplicate
clone_quality	Assess corpus quality
clone_stats	Show statistics
clone_read_corpus	Read refined corpus slices (for AI personality extraction)

MCP Setup (Claude Code)

{
  "mcpServers": {
    "digital-clone": {
      "command": "bun",
      "args": ["run", "/path/to/digital-clone-skill/src/mcp-server.ts"],
      "cwd": "/path/to/digital-clone-skill"
    }
  }
}

Skill Installation

The Skill handles Stage 4 (Soul Forging) — personality extraction and System Prompt generation:

mkdir -p ~/.claude/skills/digital-clone
cp SKILL.md ~/.claude/skills/digital-clone/

Workflow

Stage 1: Target Profiling ─── Skill (conversational)
Stage 2: Data Hunting ─────── CLI: clone ingest / clone import
Stage 3: Data Refining ────── CLI: clone refine + clone quality
Stage 4: Soul Forging ─────── Skill (reads refined corpus, extracts personality)
Stage 5: Verification ─────── CLI: clone verify-template + Skill (scoring)
Stage 6: Deployment ────────── CLI: clone deploy-guide + Skill (customization)

Architecture

File	Role
src/cli.ts	CLI entry
src/mcp-server.ts	MCP tools
src/parsers.ts	Multi-source transcript parsing
src/ingest.ts	Corpus collection pipeline
src/refine.ts	Dedup + PII sanitize + normalize
src/quality.ts	Quality assessment + report
src/templates.ts	Verify + deploy template generation
src/config.ts	Configuration management
SKILL.md	Claude Code Skill (Soul Forging)

Credit

Source	Contribution
Claude Code	Foundation, CLI, MCP server, parsers
RecallNest	Parser architecture for CC/Codex/Gemini transcripts
@MinLiBuilds	Naval clone tutorial — original inspiration

Author

Built by 小试AI (@AliceLJY)

WeChat public account: 我的AI小木屋

License

MIT