Content Alchemy

Name: content-alchemy
Author: AliceLJY

AI-Assisted Article Pipeline for Claude Code

Raw idea in, fact-checked article out. Every claim traceable. Every stage human-confirmed.

A Claude Code skill that transforms raw ideas into professional articles through a 5-stage semi-automated pipeline — with built-in source verification, cross-reference checking, and anti-AI-voice writing principles.

English | 简体中文

Why Content Alchemy?

Most AI writing tools optimize for speed. Content Alchemy optimizes for trust.

The problem with "just let AI write it":

You: "Write an article about AI replacing jobs."

AI: "According to a McKinsey report, 800 million jobs will be displaced by 2030..."

You: (checks) That number is from 2017 and the actual range was 400-800M with heavy caveats. 😤

AI: "Studies show that 47% of US jobs are at risk..."

You: (checks) That's the 2013 Frey & Osborne paper, widely criticized for methodological issues. 😤😤

How Content Alchemy handles this:

Stage 2: Sources extracted → each one gets an authenticity check

Stage 3: Source Truth Table built → every claim mapped to its origin

Stage 3.5: Cross-Reference → same claim checked against 2+ independent sources

Stage 5: Confidence self-assessment → weak claims downgraded or flagged [unverified]

Result: An article where readers can trust the data. ✅

What makes it different

Problem	Solution
AI makes up data	Source Truth Table forces citations
Source exists but data is wrong	Stage 3.5 Cross-Reference adds multi-source verification
Article reads like AI	7 anti-AI writing principles plus a 6-dimension scan
Uncertain facts slip through	Confidence self-assessment downgrades or marks weak claims

Pipeline

┌─────────┐    ┌─────────┐    ┌─────────┐    ┌─────────┐    ┌─────────┐    ┌─────────┐
│ Stage 1 │───►│ Stage 2 │───►│ Stage 3 │───►│Stage 3.5│───►│ Stage 4 │───►│ Stage 5 │
│ Topic   │    │ Source   │    │ Deep    │    │ Cross-  │    │Refining │    │Humanized│
│ Mining  │    │Extraction│    │Analysis │    │Reference│    │         │    │ Article │
└─────────┘    └─────────┘    └─────────┘    └─────────┘    └─────────┘    └─────────┘
     │              │              │              │              │              │
     ▼              ▼              ▼              ▼              ▼              ▼
 mining-        Source         Source         Cross-Ref      manifesto.md   article.md
 report.md    Authenticity    Truth Table      Report
               Report

Every stage pauses for human confirmation before proceeding. No auto-pilot.

Quick Start

git clone https://github.com/AliceLJY/content-alchemy.git
claude skill add ./content-alchemy

Usage

alchemy AI and loneliness     # Full pipeline from topic
alchemy-setup                 # Check/download dependencies

Start from any stage:

Mode	When to use	Entry point
Topic Mode	Start from scratch	`alchemy [topic]` → Stage 1
Source Mode	Have transcripts or articles	Provide sources → Stage 3
Draft Mode	`article.md` already exists	Hand off to content-publisher

Ecosystem

Content Alchemy is the research & writing half. Publishing is a separate repo.

  content-alchemy (this repo)          content-publisher
  ─────────────────────────          ──────────────────
  Stage 1: Topic Mining              Image generation
  Stage 2: Source Extraction    ───► Layout formatting
  Stage 3: Deep Analysis             WeChat publishing
  Stage 3.5: Cross-Reference         Cleanup
  Stage 4: Refining
  Stage 5: Humanized Article

Repo	Role
content-alchemy (this repo)	Research and writing, Stages 1-5
content-publisher	Images, layout, publishing, cleanup
recallnest	Shared memory layer for Claude Code, Codex, Gemini CLI
openclaw-tunnel	Docker-to-host tunnel for `/cc`, `/codex`, `/gemini`
digital-clone-skill	Build digital clones from corpus data

Version History

Version	Era	Highlights
v1.0-v2.5	Antigravity	Project inception, 9-stage to 7-stage workflow evolution
v3.1-v3.2	Claude Code (Opus 4.5)	Bug fixes, fallback mechanisms, doc restructuring
v4.0-v4.3	Claude Code (Opus 4.6)	Chrome reuse, Bilibili extraction, Cross-Reference, 6-dimension AI scan
v5.0	Claude Code (Opus 4.6)	Split into content-alchemy and content-publisher, progressive reference loading

Project Structure

content-alchemy/
├── README.md
├── README_CN.md
├── SKILL.md
├── references/
│   ├── stage1-mining.md
│   ├── stage2-extraction.md
│   ├── stage3-analysis.md
│   ├── stage3.5-crossref.md
│   ├── stage4-refining.md
│   ├── stage5-writing.md
│   ├── source-channels.md
│   └── video-acquisition.md
├── scripts/
│   ├── format-text.ts
│   ├── preprocess_article.py
│   └── sync-codex-skill.sh
├── templates/
│   └── cross-reference-report.md
└── assets/
    └── wechat_qr.jpg

Prerequisites & Environment

Required:

Claude Code
Bun
Python 3
A writable ~/Desktop/bot-articles/

Local path assumptions (may need adjustment):

Output directory: ~/Desktop/bot-articles/{topic-slug}/
Persona source: ~/.claude/projects/*/memory/writing-persona.md
Style catalog: ~/.openclaw-antigravity/workspace/images/style-catalog.md
Style history: ~/.openclaw-antigravity/workspace/images/style-history.txt

Compatibility:

Tested on macOS with the author's Claude Code CLI workflow
Not guaranteed to work on Linux or Windows
Some paths are hardcoded — users may need to adjust persona and style asset paths
Downstream publishing depends on content-publisher

Author

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

Six content pillars: Hands-on AI, AI Pitfall Diaries, AI and Humanity, AI Cold Eye, AI Musings, and AI Visual Notes.

License

MIT