Agent skill

Comment Mining

by Ootto-AI in Ootto-AI/claude-content-skills

Reads your comments and DMs to surface the questions, objections and exact phrases your audience uses — and turns them into content ideas.

MITAuto-check passedProductivity & Automation

Install Comment Mining

skills CLI
$ npx skills add Ootto-AI/claude-content-skills --skill comment-mining -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Ootto-AI/claude-content-skills comment-mining --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Ootto-AI/claude-content-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/comment-mining .claude/skills/comment-mining && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
comment-mining
GitHub stars
122
Token cost
~482 tokens
SKILL.md length
124 words
Files
1
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

Reads your comments and DMs to surface the questions, objections and exact phrases your audience uses — and turns them into content ideas.

  • The user says what should I post about
  • SKILL.md covers When to use, What you'll need and Instructions
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Mine my comments

What it does

Comment Mining is an agent skill from Ootto-AI/claude-content-skills. Reads your comments and DMs to surface the questions, objections and exact phrases your audience uses — and turns them into content ideas. Use when the user says "what should I post about", "mine my comments", "what is my audience asking", "turn my DMs into ideas".

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Messaging and chat bots. The repository describes itself as: Free, copy-paste Claude skills that run your content growth factory — turn ideas + your NotebookLM memory into scroll-stopping Instagram reels. By Ootto. The licence is MIT.

When your agent uses it

  • The user says what should I post about
  • Mine my comments
  • What is my audience asking
  • Turn my DMs into ideas

Example prompts

  • “what should I post about”
  • “mine my comments”
  • “what is my audience asking”
  • “/comment-mining”

What it can do on your machine

Read from SKILL.md and the folder at commit 5263be7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • ootto.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Comment Mining loads about 482 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 124 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~482

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Ootto-AI/claude-content-skills at commit 5263be7, republished under its MIT licence (© Ootto-AI). 124 words, ~482 tokens.

Download SKILL.mdSave it as .claude/skills/comment-mining/SKILL.md (or your agent's skills folder).
name
comment-mining
description
Reads your comments and DMs to surface the questions, objections and exact phrases your audience uses — and turns them into content ideas. Use when the user says "what should I post about", "mine my comments", "what is my audience asking", "turn my DMs into ideas".
user-invokable
true
argument-hint
[paste comments/DMs, or point at a post]
license
MIT
metadata.author
Ootto
metadata.version
1.0.0
metadata.category
content

Comment Mining — your audience already told you what to make

Reads your comments and DMs to surface the questions, objections and exact phrases your audience uses — and turns them into content ideas.

When to use

You're out of ideas, but your audience has been telling you what they want.

What you'll need

Your last 30-100 comments or DMs. The Ootto MCP can read them off your posts directly.

Instructions

Give Claude the input and run this.

You are my audience researcher. Here are my comments/DMs: [paste].

1. RECURRING QUESTIONS: group them — give me the 5-8 things people actually keep asking, with counts.
2. OBJECTIONS: what stops them buying, trying, or believing me.
3. THEIR WORDS: the exact phrases they use. Quote them verbatim — I want these in my hooks and captions.
4. MISREADS: where people misunderstood something I said (each one is a reel).
5. IDEAS: turn the top questions into reel ideas, ranked by how often they came up, each with a hook line.

Use their vocabulary, not mine.

Honesty: Every idea must trace to a real comment. Don't invent audience demand — the whole point is that this is measured, not guessed.

Next: viral-hook-writer → reel-scripter


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

© Ootto-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/comment-mining of Ootto-AI/claude-content-skills.

Open the folder on GitHubat commit 5263be7

Compare with similar skills

Comment Mining next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Comment Mining compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Comment Mining this skillOotto-AI/claude-content-skills122—~482Automated safety check: PassMIT
Feishu Docopenclaw/openclaw392k—~516Automated safety check: PassMIT
She Love Me863401402/she-love-me9251 repos~1.3kAutomated safety check: PassMIT
Feishu Docraucvr/Group-Goki1123 repos~592Automated safety check: PassMIT
Wechat Article Extractorfreestylefly/wechat-article-extractor-skill1361 repos~1kAutomated safety check: PassNone
Wechat Miniprogram Builderchenjin-cmd/wechat-miniprogram-builder355—~634Automated safety check: PassMIT

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Questions about Comment Mining

What does Comment Mining do?

Reads your comments and DMs to surface the questions, objections and exact phrases your audience uses — and turns them into content ideas. Comment Mining is an agent skill from Ootto-AI/claude-content-skills. Reads your comments and DMs to surface the questions, objections and exact phrases your audience uses — and turns them into content ideas.

When should I use Comment Mining?

Comment Mining fits situations like: the user says what should I post about; mine my comments; what is my audience asking; turn my DMs into ideas.

How do I install Comment Mining in Claude Code?

Run `npx skills add Ootto-AI/claude-content-skills --skill comment-mining -a claude-code`. Or copy the skill folder (skills/comment-mining in Ootto-AI/claude-content-skills) into .claude/skills/comment-mining in your project. Claude Code loads it when a task matches its description.

How do I install Comment Mining in Codex?

Run `npx skills add Ootto-AI/claude-content-skills --skill comment-mining -a codex`. Or copy the skill folder (skills/comment-mining in Ootto-AI/claude-content-skills) into .agents/skills/comment-mining in your project. Codex loads it when a task matches its description.

Can I use Comment Mining in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Ootto-AI/claude-content-skills --skill comment-mining -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comment-mining, .gemini/skills/comment-mining, .github/skills/comment-mining and .opencode/skills/comment-mining in your project.

What does Comment Mining need to run?

SKILL.md names no scripts, command-line tools or credentials: Comment Mining is instructions for the agent only.

Does Comment Mining access the network?

SKILL.md names 1 domain. As links in the text: ootto.ai. This is read from the text; nothing was executed.

Is Comment Mining safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Comment Mining use?

Comment Mining is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Comment Mining use?

About 482 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Comment Mining?

Skills that share tags, products or a category with Comment Mining: Feishu Doc (openclaw/openclaw, 392k stars), She Love Me (863401402/she-love-me, 925 stars), Feishu Doc (raucvr/Group-Goki, 112 stars) and Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Comment Mining?

Ootto-AI (a GitHub organization) maintains it in Ootto-AI/claude-content-skills, which has 122 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on October 8, 2026.

Source: Ootto-AI/claude-content-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.