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Stories Publish Folder

Community
kevinbadi
stories-publish-folder

Publish Instagram and Facebook Stories from a local folder. Drop images or short videos, and this skill publishes them as stories. Trigger when asked to publish stories, post to IG stories, or automate story publishing.

Overview

Publisherkevinbadi
Repositoryai-os-skills
Skill namestories-publish-folder
Stars
73
Forks
29
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Stories Publish Folder 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.
    https://github.com/kevinbadi/ai-os-skills/tree/main/stories-publish-folder
  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/kevinbadi/ai-os-skills.git /tmp/ai-os-skills
mkdir -p .claude/skills
cp -r /tmp/ai-os-skills/stories-publish-folder .claude/skills/stories-publish-folder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Stories Publish Folder 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 Stories Publish Folder 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 Stories Publish Folder 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.

Stories Publish — Folder Method

Publish Instagram and Facebook Stories from a local folder.

Drop images or short videos into ~/Stories/. This skill publishes them as Stories to Instagram and Facebook.

For creators who make their own story content and want automated publishing.


Watch Folder

Default: ~/Desktop/Stories/

The skill scans this folder for:

  • Images: .jpg, .png, .webp
  • Videos: .mp4, .mov (under 15 seconds recommended)

Folder Structure

~/Stories/
  ├── monday-bts.jpg                  ← ready to publish
  ├── product-tease.mp4               ← short video story
  ├── old-story.jpg                   
  └── old-story.published.json        ← sidecar (marks as published)

Story Sequences

Create a numbered sequence to post multiple stories in order:

~/Stories/monday-sequence/
  ├── 1.jpg (or 01-intro.jpg)
  ├── 2.jpg
  ├── 3.mp4
  └── 4.jpg

All items in the folder get posted as sequential stories.


Usage

bash
# Publish the next unpublished story
node skills/stories-publish-folder/scripts/stories-publish-folder.js

# Publish to Instagram only
node skills/stories-publish-folder/scripts/stories-publish-folder.js --platforms "instagram"

# Publish a specific file
node skills/stories-publish-folder/scripts/stories-publish-folder.js --file "~/Stories/my-story.jpg"

# Preview without publishing
node skills/stories-publish-folder/scripts/stories-publish-folder.js --dry-run

# Custom watch folder
node skills/stories-publish-folder/scripts/stories-publish-folder.js --folder "~/Desktop/ig-stories"

# Publish ALL unpublished stories (batch mode)
node skills/stories-publish-folder/scripts/stories-publish-folder.js --all --limit 10

Flags

FlagDescription
--file PATHPublish a specific image or video
--folder PATHOverride watch folder (default: ~/Stories/)
--platforms LISTComma-separated: instagram,facebook (default: both)
--allPublish all unpublished stories
--limit NMax stories in --all mode (default: 10)
--dry-runPreview, skip publishing

Supported Platforms

PlatformImage StoriesVideo Stories
Instagram✅✅
Facebook✅✅

Environment Variables

VariableRequiredDescription
LATE_API_KEYYesLate API key for publishing
INSFORGE_CONNECTION_STRINGNoDatabase for tracking

Story Specs

Instagram Stories

  • Images: 1080x1920 recommended (9:16 aspect ratio)
  • Videos: Up to 60 seconds, but 15 seconds recommended per story

Facebook Stories

  • Images: 1080x1920 recommended
  • Videos: Up to 20 seconds

Output

After publishing, each story gets a .published.json sidecar:

json
{
  "source_file": "monday-bts.jpg",
  "media_url": "https://cdn.getlate.dev/media/...",
  "late_post_id": "post_abc123",
  "published_at": "2026-03-13T12:00:00Z",
  "published_platforms": ["instagram", "facebook"]
}

Cron Schedule (Recommended)

Check for new stories 3x/day:

0 9,13,17 * * * node skills/stories-publish-folder/scripts/stories-publish-folder.js --all --limit 5

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Stories Publish Folder AI skill do?

Publish Instagram and Facebook Stories from a local folder. Drop images or short videos, and this skill publishes them as stories. Trigger when asked to publish stories, post to IG stories, or automate story publishing.

Why use Stories Publish Folder on TypingMind?

Because you install it once and use it with any model. Stories Publish Folder 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 Stories Publish Folder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevinbadi/ai-os-skills/tree/main/stories-publish-folder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Stories Publish Folder?

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 Stories Publish Folder?

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

Is the Stories Publish Folder AI skill free?

It is published on GitHub by kevinbadi. Check the repository for licensing terms. 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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