Digital Clone

Corpus-Driven Digital Clone Skill for Claude Code

Collect your AI conversations, extract your personality, deploy a clone that talks like you.

A Claude Code Skill that turns conversation history and writings into a digital clone — guiding you through corpus collection, cleaning, personality extraction, system prompt generation, and verification. Optional Bun-based CLI/MCP tools are included for mechanical data preprocessing.

English | 简体中文

---

What It Does

The Skill walks you through a 6-stage pipeline, entirely conversational — no runtime dependencies required:

Stage	Name	What Happens
1	Target Profiling	Identify the clone target and map data sources
2	Data Hunting	Collect raw corpus (transcripts, articles, research)
3	Data Refining	Clean, dedup, PII sanitization, quality assessment
4	Soul Forging	Extract personality, generate System Prompt
5	Verification	Trap-question testing with pass criteria (target: ≥80%)
6	Deployment	Platform-specific deploy guide (NotebookLM / bot / generic LLM)

Two Modes

• Self Mode — clone yourself from local AI conversations and writings
• Mentor Mode — clone a public figure via 6-angle parallel research (primary voice, live reactions, external views, decisions, social fragments, timeline)

---

Quick Start

Install the Skill (this is the whole installation):

mkdir -p ~/.claude/skills/digital-clone
curl -o ~/.claude/skills/digital-clone/SKILL.md \
  https://raw.githubusercontent.com/AliceLJY/digital-clone-skill/main/SKILL.md

Then in Claude Code:

帮我克隆自己 / "Clone myself from my articles and CC transcripts" 帮我克隆纳瓦尔做数字导师 / "Clone Naval as my digital mentor"

The Skill handles everything conversationally, stage by stage, with your approval at each step. All outputs go to ./clone-workspace/ in your current directory.

---

Optional: CLI Preprocessing Tools

Requires Bun. The CLI does not run on Node.js (it uses Bun's TypeScript module resolution). If you don't use Bun, skip this section entirely — the Skill covers the full pipeline on its own.

For large corpora (thousands of transcript files), the CLI does the mechanical work faster than in-conversation processing:

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

bun run src/cli.ts init --target "Your Name" --mode self
bun run src/cli.ts ingest --source all
bun run src/cli.ts refine
bun run src/cli.ts quality

Important: the workspace path is relative to where you run the commands. If you preprocess with the CLI, start your Claude Code session in the same directory so the Skill finds ./clone-workspace/. The refined corpus separates *-user.md (your voice — used for personality extraction) from *-assistant.md (AI replies — reference only, excluded from Soul Forging).

Command	Description
bun run src/cli.ts init	Initialize workspace and config
bun run src/cli.ts ingest --source <src>	Scan corpus (cc, codex, gemini, memory, articles, all)
bun run src/cli.ts import <path>	Import external files (Mentor Mode)
bun run src/cli.ts refine	Clean, dedup, sanitize
bun run src/cli.ts quality	Generate quality report
bun run src/cli.ts stats	Show corpus statistics
bun run src/cli.ts verify-template	Generate test case template
bun run src/cli.ts deploy-guide --platform <p>	Generate deployment guide
bun run src/cli.ts refresh	Re-scan sources and merge new content into the refined corpus

Set CLONE_WORKSPACE to pin the workspace to a fixed path shared between CLI and Skill sessions.

refresh can optionally pull recent memories from a RecallNest install (the author's memory system; set RECALLNEST_CLI or place it at ~/recallnest/lm). Without it, use --skip-recallnest.

MCP Tools (5 tools, also requires Bun)

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 (defaults to user-side text)

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"
    }
  }
}

Architecture

File	Role
SKILL.md	Claude Code Skill — the full 6-stage pipeline (the product)
src/cli.ts	Optional CLI entry (Bun)
src/mcp-server.ts	Optional MCP tools (Bun)
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

---

Credit

Source	Contribution
Claude Code	Foundation, CLI, MCP server, parsers
RecallNest	Parser architecture for CC/Codex/Gemini transcripts
@MinLiBuilds	Naval clone tutorial — original inspiration
alchaincyf/nuwa-skill	6-angle research + three-pass verification
LvPengfei1/PersonaVault	Evidence grading + capability boundaries

Author

Built by 小试AI (@AliceLJY) for the WeChat public account 我的AI小木屋.

Ecosystem

Part of the 小试AI open-source AI workflow:

Project	Description
recallnest	MCP memory workbench (LanceDB + Jina v5)
content-publisher	Image generation + layout + WeChat publishing
openclaw-tunnel	Docker ↔ host CLI bridge (/cc /codex /gemini)
telegram-ai-bridge	Telegram bots for Claude, Codex, and Gemini
claude-code-studio	Multi-session collaboration platform for Claude Code
cc-empire	Complete Claude Code workflow scaffold (rules + hooks + agents)
etwin-bot	E-Twin Telegram bot — this skill's 1:1 instantiation as a runnable bot
trio-handoff	Bidirectional handoff bundles for AI coding agents

License

MIT