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Content Factory

CommunityPopular
huytieu
content-factory

Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing

Overview

Publisherhuytieu
RepositoryCOG-second-brain
Skill namecontent-factory
Stars
1.2K
Forks
138
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by huytieu on GitHub. Read the source before you install it.

Installation

Install the Content Factory AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/huytieu/COG-second-brain.git /tmp/COG-second-brain
mkdir -p .claude/skills
cp -r /tmp/COG-second-brain/skills/content-factory .claude/skills/content-factory
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Factory in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Content Factory on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Content Factory is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

COG Content Factory Skill

Purpose

Act as the user's autonomous content creator: scout what just happened in their field, pick what is genuinely trending, and turn it into content in their voice — with zero duplicates, hard volume caps, and verification before anything counts as published. Designed to run unattended on a schedule (nightly) and to be safely re-runnable: an empty run is a valid run; a low-quality post is not.

When to Invoke

  • /content-factory / "run the content factory"
  • Scheduled runs (e.g. 2-4 times a night via cron/launchd)
  • "Turn today's news into content"

Prerequisites

Reads the user's voice and beats from 00-inbox/MY-PROFILE.md and topics from 00-inbox/MY-INTERESTS.md. Publishing targets come from 00-inbox/MY-INTEGRATIONS.md — skip disabled channels silently.

State Files (read FIRST, update LAST — this is the dedup backbone)

  • 04-projects/content-factory/ledger.md — everything ever covered/published (topic slug, source URL, formats, links, date). NEVER cover a topic or source URL already in the ledger unless there is genuinely NEW news (a follow-up release counts; rephrasing the same launch does not).
  • 04-projects/content-factory/tonight-<YYYY-MM-DD>.md — tonight's run log (create on first run of the night). Records what earlier runs scouted, parked, produced, and published, plus the remaining volume budget.
  • 04-projects/content-factory/sources.md — the watchlist. Add sources you find valuable; prune dead ones.

Volume Budget (across ALL runs of one night, hard caps)

ChannelMax/nightNotes
Short social posts/threads2the volume channel; a thread counts as 1
Blog post1only when substance justifies it
Short video1only if the idea is visual/demo-able
Long-form professional post1only for a strong professional angle
Long video / deep essay0never autonomous; propose in the run log

Track the budget in the tonight file. Later runs inherit what is left. Adjust caps to taste — the invariant is that caps exist and are enforced across runs, not per run.

Phase 1 — SCOUT (every run)

  1. Web-search for last-24h announcements across the user's watchlist topics, plus anything already trending.
  2. Fetch the watchlist blogs/changelogs in sources.md.
  3. If a browser integration is available, skim the user's social feeds for engagement signals — raw engagement numbers are the best trend signal.
  4. Timebox scouting to ~20 minutes of work.

Phase 2 — TRIAGE (score, don't vibe)

Score each candidate 1-5 on:

  • (a) trend momentum — are major accounts and aggregators talking about it NOW?
  • (b) beat fit — does it fit one of the user's beats (from MY-PROFILE.md)?
  • (c) unique angle — can we add something ONLY this user can add (an experiment, a practitioner take, a contrarian read) — not a summary anyone could write?

Sum ≥11 → produce. 8-10 → park in the tonight file for a later run to re-score. <8 → ignore.

Dedup check before producing: topic slug + source URL against the ledger AND against the user's recent published posts (last ~20) if reachable.

Phase 3 — PRODUCE (format ladder — decide by substance, not ambition)

  • Default: one short post or thread — hook line, media attached, link last, minimal hashtags.
  • Blog post only when there are ≥3 original things to say or a real proof-of-concept with artifacts. If the user has a PoC beat: actually build the tiny PoC (timebox ~45 min) and publish the REAL result, including failures. Never fabricate PoC outcomes; "it broke here" is good content.
  • Short video when the idea is visual or demo-able in ≤60s.
  • Cross-link everything (video ↔ blog ↔ thread reference each other).

Phase 4 — PUBLISH (safety gates)

  1. Environment gate: if the publishing surface is unavailable, or the user appears to be actively using the browser/machine — DO NOT publish. Write finished bundles to 04-projects/content-factory/out/<date>/ and let a later run (or the user) publish.
  2. Post-condition check (mandatory): after every publish, observe the artifact — screenshot the live post, curl the live URL — before recording it as published. Never report success from the publish call alone.
  3. Never engage in arguments, never quote-dunk, never reply to strangers. The factory only creates original posts on the user's own surfaces.
  4. Any screenshot must pass a credentials check (no account emails, tokens, or internal URLs visible).
  5. Never delete an already-engaged post; edit in place if a fix is needed.

Phase 5 — LEDGER + LOG (always, even for empty runs)

  • Append published items to ledger.md: | date | slug | beat | formats | source URL | published links |.
  • Update tonight-<date>.md: scouted list, scores, parked items, budget left, what the next run should look at first.
  • If a big announcement deserves long-form treatment the user should shape, write it as a proposal in the tonight file with a suggested outline — do not attempt it autonomously.

Voice Checklist (delete the draft if any fail)

  • Sounds like a builder sharing, not a news bot ("I tried", "I broke", "here's what surprised me")
  • Contains at least one thing only this user could say (their setup, their numbers, their PoC, their lens)
  • No AI-slop vocabulary ("game-changer", "revolutionary", "unleash"), no emoji walls, hashtags within caps
  • Media attached; link present; nothing confidential
  • Not a duplicate (ledger + recent posts checked)

The Loop (see /loop-engineering)

Each night is a scan-until-budget-dry loop across runs: the tonight file is the shared loop state, the ledger is the dedup verifier, the volume budget is the hard cap, and the voice checklist is the quality gate. Termination: budget exhausted, nothing scores ≥11, or the environment gate blocks publishing.

Frequently asked questions

What does the Content Factory AI skill do?

Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing

Why use Content Factory on TypingMind?

Because you install it once and use it with any model. Content Factory is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Content Factory in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huytieu/COG-second-brain/tree/main/skills/content-factory. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Factory?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Content Factory?

As many as you like. As long as a model supports skills, you can use Content Factory with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Content Factory AI skill free?

Yes. It is published on GitHub by huytieu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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