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Ig Caption

Community
Jakeschincariol
ig-caption

Write the Instagram caption - the line that survives the "... more" cut, the body, the single ask, the search terms and the three hashtags - and lint it before it goes out. Use when the user says "write the caption", "caption this", "what do I put in the description", has a reel or a carousel ready and needs the text, or asks about hashtags.

Overview

PublisherJakeschincariol
Repositoryinstagram-agent-skill
Skill nameig-caption
Stars
975
Forks
218
Bundled files
1
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.

  • 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 Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the Ig Caption 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/Jakeschincariol/instagram-agent-skill/tree/main/skills/ig-caption
  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/Jakeschincariol/instagram-agent-skill.git /tmp/instagram-agent-skill
mkdir -p .claude/skills
cp -r /tmp/instagram-agent-skill/skills/ig-caption .claude/skills/ig-caption
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ig Caption 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 Ig Caption 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 Ig Caption 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.

ig-caption

One tool lives in this folder and it runs:

bash
python3 caption.py caption.txt
python3 caption.py caption.txt --keywords "client proposals,agency pricing"

It prints the caption the way the feed prints it: the first 125 characters in a box, everything else behind the tap. Read that box before you read anything else you wrote.

First, decide which job this caption has

This is the decision that ruins captions when it is skipped.

Job A: the video already hooked them. A Reel carries its own hook in the first two seconds, spoken and on screen. The caption is not a second hook and competing with the video is how you lose both. Its job is the ask, the context that makes the ask make sense, and the words people search.

Job B: the caption is the content. A photo, a single image, a carousel cover that opens a loop. Here line one is the hook and it works exactly like a Reel hook: concrete, short, and cut off at a cliff rather than mid-clause.

Ask which one you are writing. If the user has a Reel with a strong hook, write A and say why.

The shape

Line 1      125 characters of visible space. Job A: the ask, plainly.
            Job B: the hook.
            Never a greeting, never a hashtag, never an emoji as the first
            character.
Body        short paragraphs, one line of white space between each. Two to six
            of them. This is where the search terms live.
The ask     one. Comment a keyword, save it, or DM. One.
Hashtags    up to five, on their own line at the bottom, or none.

Limit is 2,200 characters and almost nothing needs 2,200. A caption that earns the tap and then delivers 600 characters beats one that delivers 1,800.

Hashtags, honestly

Hashtags are not a reach lever any more, and the platform has now said so with a product change. Instagram capped hashtags at five per post on 18 December 2025, down from thirty, telling creators that "using fewer (up to 5) more targeted hashtags, rather than many generic ones" performs better. Adam Mosseri had already said in February 2025 that hashtags do not work to increase reach and are a label, not a distribution lever.

So: up to five, specific, as topic labels. If the user has a block of twenty saved in their notes app, that block is now dead weight and the linter will fail it.

#viral, #fyp, #explorepage, #foryou describe nothing. Cut them.

Search terms matter more than hashtags now

Instagram search reads the caption text. So the phrase the user wants to be found for goes in the caption as a phrase a human would type, in a sentence that reads normally. "Client proposals" as words in line three, not "#clientproposals" in a block at the bottom.

Ask for two or three of those terms, then pass them to the linter:

bash
python3 caption.py draft.txt --keywords "client proposals,agency pricing"

Rules

  • No link in the caption. Captions are not clickable. A URL in the body is dead text that says "I do not use this platform". Bio or DM.
  • One ask. Two asks is the same as none. caption.py counts them.
  • The keyword ask needs a keyword people can type. One word, no spaces, no emoji, and say it out loud in the video too. Comment CONTRACT works. Comment "the contract guide" does not.
  • Write the first comment separately if there is a link. Say so in the receipt.
  • Emoji as punctuation, not decoration. The linter flags anything over 4 per 100 characters.
  • Alt text is worth 20 seconds. For carousels and photos, write it. It is read by screen readers and by Instagram.

The loop

  1. Decide Job A or Job B and say which.
  2. Draft it.
  3. Run /ig-human on it. Captions are short, so slop is louder here than anywhere else in the pack.
  4. Run caption.py with the user's search terms. Fix every FAIL. Decide on every WARN out loud rather than silently.
  5. Print the copy-ready block, then the receipt:
CAPTION READY
job:        A - the reel carries the hook
visible:    118 of 125 characters used before the cut
ask:        one, comment CONTRACT
hashtags:   3
search:     "client proposals" in line 3, "agency pricing" in line 5
linter:     READY

Nothing is posted. The user pastes it.

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 Ig Caption AI skill do?

Write the Instagram caption - the line that survives the "... more" cut, the body, the single ask, the search terms and the three hashtags - and lint it before it goes out. Use when the user says "write the caption", "caption this", "what do I put in the description", has a reel or a carousel ready and needs the text, or asks about hashtags.

Why use Ig Caption on TypingMind?

Because you install it once and use it with any model. Ig Caption 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 Ig Caption in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/instagram-agent-skill/tree/main/skills/ig-caption. 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 Ig Caption?

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 Ig Caption?

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

Is the Ig Caption AI skill free?

Yes. It is published on GitHub by Jakeschincariol 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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