Comment Responder logo

Comment Responder

Organization
Ootto-AI
comment-responder

Turn every comment into a lead on autopilot. Claude watches your new comments, posts a friendly public reply (never a link), and DMs the commenter your lead magnet / resource — then logs them as a lead. Use when the user says "auto reply to comments", "DM everyone who comments", "comment to DM", "lead magnet automation", "turn comments into leads", "auto-respond", or "capture leads from a reel".

Overview

PublisherOotto-AI
Repositoryclaude-content-skills
Skill namecomment-responder
Stars
264
Forks
53
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 Ootto-AI on GitHub. Read the source before you install it.

Installation

Install the Comment Responder 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/Ootto-AI/claude-content-skills/tree/main/skills/comment-responder
  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/Ootto-AI/claude-content-skills.git /tmp/claude-content-skills
mkdir -p .claude/skills
cp -r /tmp/claude-content-skills/skills/comment-responder .claude/skills/comment-responder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comment Responder 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 Comment Responder 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 Comment Responder 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.

Comment Responder — every comment becomes a lead

Post a reel with a "comment WORD and I'll send it" CTA, and this runs the back half for you: it detects each new comment, replies publicly (warm, link-free), and slides the resource into the commenter's DMs — so you wake up to a list of leads instead of a pile of "sent you a DM 🙌" you have to do by hand.

When to use

Any reel/post with a keyword CTA ("comment SKILLS / BREAKDOWN / SETUP …"). Set the rule once; it handles every commenter the same way, 24/7.

What you'll need

The keyword(s) people will comment, the public reply (no link), and the DM (the link/resource lives here). Optional: the specific post to scope it to.

Instructions

Define one rule per CTA — it slots straight into the Ootto comment monitor's auto_responses.json:

You are my comment-to-lead responder. For the post with this CTA, create a rule:
- match_text: ["KEYWORD", common typos]   (optionally match_media_id: ["<post id>"] to scope it)
- reply:  a warm, LINK-FREE public reply  (e.g. "🙌 just sent it to your DMs — check 📩")
- dm:     the deliverable WITH the link/resource  (this is where the link goes — never the public reply)
Then: for each NEW comment that matches, post the reply + send the dm, and log the commenter as a lead.
Rules: ONE link, in the DM only. If a comment doesn't match any rule, defer it to me (don't guess).

The honesty + safety rules (built in):

  • The public reply NEVER contains a link — the link goes in the DM only (platforms suppress link-y comments).
  • Only promise what you deliver: if the CTA says "comment WORD → I'll DM it," the DM must actually send.
  • No match → defer to a human, don't auto-reply with a guess.

Runs unattended: point it at a scheduled runner (e.g. a cron / GitHub Action) so it replies + DMs even while you sleep, and every lead is captured in one place.

Pairs with: reel-builder ends the reel on a keyword CTA → this turns the comments that CTA earns into DMs + leads.


Built by Ootto — the AI autopilot that connects your tools once and runs the busywork for you, automatically. Book a demo →

Frequently asked questions

What does the Comment Responder AI skill do?

Turn every comment into a lead on autopilot. Claude watches your new comments, posts a friendly public reply (never a link), and DMs the commenter your lead magnet / resource — then logs them as a lead. Use when the user says "auto reply to comments", "DM everyone who comments", "comment to DM", "lead magnet automation", "turn comments into leads", "auto-respond", or "capture leads from a reel".

Why use Comment Responder on TypingMind?

Because you install it once and use it with any model. Comment Responder 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 Comment Responder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/comment-responder. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Comment Responder?

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 Comment Responder?

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

Is the Comment Responder AI skill free?

Yes. It is published on GitHub by Ootto-AI 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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