Content Os

ContentOS

[English](#english) | [中文](#中文)

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English

**An agent-agnostic, self-improving daily content workflow. It scans high-quality sources, turns fresh signals into a briefing, and drafts posts in your voice.**

Bring Codex, Claude Code, Cursor, Gemini CLI, OpenCode, or your own agent. ContentOS is a workflow and data contract, not a model, vendor, or CLI-specific application.

Built by [**@starzq**](https://x.com/starzq), who uses it every morning for AI, crypto, US equities, space, and solo-business research.

ContentOS reads curated X accounts, newsletters, podcasts, and other sources; filters them through your topic library and positioning; then produces a daily briefing and drafts. On the next run, it learns from your published-post performance and adjusts its recommendations.

It is not another summarizer. The design premise is that **summarizing is cheap and judgment is expensive**, so the workflow spends most of its effort on freshness, deduplication, source quality, voice, and editorial boundaries.

Video walkthrough

[](https://youtu.be/LTNbRodeVzo)

▶ **[Watch on YouTube: Self-improving Daily Content OS](https://youtu.be/LTNbRodeVzo)**

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What is in this repository

ContentOS has four portable parts:

• SKILL.md — the complete learn → do → reflect workflow, written as agent instructions.
• Config templates — your sources, topic library, positioning, voice, and red lines.
• Workflow constraints and build-time guards — editorial rules in the instructions, plus Python checks for stale must-reads and missing or duplicate event_id values.
• A local dashboard — a self-contained HTML file with embedded data; no server or database required.

`SKILL.md` includes tool names from the author's current setup. They are reference adapters, not platform requirements. Map them to equivalent tools in your agent.

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