Agent skill

Social Listening

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

A skill your agent uses when you need to turn a supplied set of comments, DMs, reviews, community posts, or call notes into an evidence-backed picture of what people ask, resist, and repeat.

MITAuto-check passedMarketing & SEO

Install Social Listening

skills CLI
$ npx skills add Ootto-AI/claude-content-skills --skill social-listening -a claude-code

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

GitHub CLI
$ gh skill install Ootto-AI/claude-content-skills social-listening --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/social-listening .claude/skills/social-listening && 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
social-listening
GitHub stars
130
Token cost
~882 tokens
SKILL.md length
428 words
Files
1
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when you need to turn a supplied set of comments, DMs, reviews, community posts, or call notes into an evidence-backed picture of what people ask, resist, and repeat.

  • Works in 4 steps: Set the evidence boundary → Extract the signal without flattening it → Cluster by decision-relevant theme → …
  • You need to turn a supplied set of comments
  • SKILL.md covers 1. Set the evidence boundary, 2. Extract the signal without…, 3. Cluster by… and 4. Produce a demand map, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Social Listening is an agent skill from Ootto-AI/claude-content-skills. Use when you need to turn a supplied set of comments, DMs, reviews, community posts, or call notes into an evidence-backed picture of what people ask, resist, and repeat. Trigger phrases include "what are people saying about this?", "mine these comments", "what language should we use?", "find recurring objections", and "summarise this community feedback". Do not use this to scrape platforms, infer demographics, or write positioning from a handful of anecdotes; use agent-reach to collect public evidence first…

Its SKILL.md is about 880 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 Marketing & SEO, covering Social media marketing, Messaging and chat bots and Web scraping. 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

  • You need to turn a supplied set of comments
  • Community posts
  • Call notes into an evidence-backed picture of what people ask
  • Phrases include what are people saying about this?

Example prompts

  • “what are people saying about this?”
  • “mine these comments”
  • “what language should we use?”
  • “/social-listening”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Set the evidence boundary
  2. Extract the signal without flattening it
  3. Cluster by decision-relevant theme
  4. Produce a demand map

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

    No URLs in SKILL.md.

    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

Social Listening loads about 882 tokens when it runs. Until then it costs about 153 tokens; SKILL.md has 428 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~153
When it runs · the whole SKILL.md, loaded when a task matches
~882

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). 428 words, ~882 tokens.

Download SKILL.mdSave it as .claude/skills/social-listening/SKILL.md (or your agent's skills folder).
name
social-listening
description
Use when you need to turn a supplied set of comments, DMs, reviews, community posts, or call notes into an evidence-backed picture of what people ask, resist, and repeat. Trigger phrases include "what are people saying about this?", "mine these comments", "what language should we use?", "find recurring objections", and "summarise this community feedback". Do not use this to scrape platforms, infer demographics, or write positioning from a handful of anecdotes; use agent-reach to collect public evidence first, audience-personas to group people, and positioning-audit to decide the message.

Social Listening

Turn evidence the operator already has into a usable demand map without pretending that a small sample represents the whole market.

1. Set the evidence boundary

Ask for the source material, where it came from, its date range, and the decision it should inform. Keep comments, DMs, reviews, support tickets, and interview notes labelled by source. If the user has only a claim about what people say, ask for the underlying text before analysing it.

2. Extract the signal without flattening it

For each item, capture the speaker's own wording, the situation they describe, the job they are trying to do, the obstacle, and any stated outcome. Keep a short supporting excerpt beside every finding so a reader can check it. Separate direct customer language from the operator's interpretation.

3. Cluster by decision-relevant theme

Group repeated evidence into questions, desired outcomes, objections, alternatives, proof requests, and vocabulary. Count only the supplied evidence. Mark a theme as isolated when it appears once, recurring when it appears across independent items, and unresolved when the context is too thin to tell.

4. Produce a demand map

Return a compact table with: theme, evidence count, representative wording, likely stage of the journey, confidence, and the next action. Next actions can be a research question, an FAQ update, an input for audience-personas, or a test for positioning-audit. Call out contradictions instead of averaging them away.

Show full SKILL.md (196 more words)Show less

Hard rules

  • Do not infer age, location, income, intent, or sentiment beyond what the evidence says.
  • Never present supplied comments as a representative market sample without a sampling basis.
  • Preserve anonymisation: do not expose names, handles, private messages, or customer details unnecessarily.
  • Do not manufacture quotes or improve a speaker's wording inside quotation marks.
  • Treat volume as a clue, not proof of importance; a repeated complaint from one thread is not independent corroboration.

Failure modes

FailureDo this instead
A loud minority becomes "the audience"State the sample and test the theme with a wider, independently collected set.
Themes mix people at different stagesSplit the cluster by situation or journey stage before recommending an action.
The result is a pile of quotesConvert each cluster into a decision, uncertainty, and next move.
The user wants public-platform researchUse agent-reach to gather allowed public sources, then return here to analyse them.

Where it sits

Use agent-reach before this skill when evidence must be collected. Use audience-personas after this skill to turn recurring patterns into grounded audience groups. Use positioning-audit after that when those groups need a message and social-proof-mining when the evidence should become approved proof.

© 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/social-listening of Ootto-AI/claude-content-skills.

Open the folder on GitHubat commit 5263be7

Compare with similar skills

Social Listening 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.

Social Listening compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Social Listening this skillOotto-AI/claude-content-skills130—~882Automated safety check: PassMIT
Chrome Daily Update Checkdragon-hh/ai-boshu-crawler106—~1.3kAutomated safety check: PassNone
Competitor Intelgooseworks-ai/goose-skills1.2k1 repos~1.8kAutomated safety check: PassMIT
Business Contact and Social Links Finderbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT
LinkedIn Authority BuilderBrianRWagner/ai-marketing-claude-code-skills441—~1.9kAutomated safety check: PassNone
Xiaohongshu User Profilebrowser-act/skills6.1k—~2kAutomated safety check: PassMIT

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Questions about Social Listening

What does Social Listening do?

A skill your agent uses when you need to turn a supplied set of comments, DMs, reviews, community posts, or call notes into an evidence-backed picture of what people ask, resist, and repeat. Social Listening is an agent skill from Ootto-AI/claude-content-skills. Use when you need to turn a supplied set of comments, DMs, reviews, community posts, or call notes into an evidence-backed picture of what people ask, resist, and repeat.

When should I use Social Listening?

Social Listening fits situations like: you need to turn a supplied set of comments; community posts; call notes into an evidence-backed picture of what people ask; phrases include what are people saying about this?.

How do I install Social Listening in Claude Code?

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

How do I install Social Listening in Codex?

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

Can I use Social Listening 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 social-listening -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/social-listening, .gemini/skills/social-listening, .github/skills/social-listening and .opencode/skills/social-listening in your project.

What does Social Listening need to run?

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

Does Social Listening access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Social Listening 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 Social Listening use?

Social Listening is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Social Listening use?

About 882 tokens (SKILL.md is roughly 3.5k 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 Social Listening?

Skills that share tags, products or a category with Social Listening: Chrome Daily Update Check (dragon-hh/ai-boshu-crawler, 106 stars), Competitor Intel (gooseworks-ai/goose-skills, 1.2k stars), Business Contact and Social Links Finder (browser-act/skills, 6.1k stars) and LinkedIn Authority Builder (BrianRWagner/ai-marketing-claude-code-skills, 441 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Social Listening?

Ootto-AI (a GitHub organization) maintains it in Ootto-AI/claude-content-skills, which has 130 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.