audience-research

Q: How do I install audience-research?

Run npx skills add https://github.com/scrapecreators/social-media-research-skills --skill audience-research in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/audience-research/ (personal) or .claude/skills/audience-research/ (project).

by scrapecreatorsProductivity & Automation

Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.

Installs: 1.2K
Last 24h: +22
Trending rank: #5375
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/scrapecreators/social-media-research-skills --skill audience-research

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads audience-research automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Audience Research

Overview

Evaluate whether a creator or social account reaches the right audience. This skill combines available public profile metrics, TikTok audience demographics, regional signals, follower/following data when available, comments, language, and content topics.

When to Use

Use this skill when the user asks to:

check if a creator's audience fits a market
compare audience fit across creators
find US-heavy, country-specific, or niche-specific creators
evaluate sponsorship/influencer opportunities
understand who appears to engage with an account

Useful Sources

/v1/tiktok/user/audience
/v1/tiktok/profile/region
profile endpoints across platforms
follower/following endpoints where available
comments on recent posts
link-in-bio pages and creator shops for niche signals

Workflow

Pull profile and available audience/demographic data.
Pull recent content and comments if audience intent matters.
Extract region, language, niche, product/category, and community signals.
Score audience fit against the user's target market.
Label confidence based on the strength of public data.

Output Format

# Audience Research: {creator}

## Fit Summary
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low

## Evidence
| Signal | Evidence | Source |
|---|---|---|

## Audience Notes
- Geography:
- Language:
- Niche/content fit:
- Comment quality:

## Sponsorship Recommendation
- Good fit / Maybe / Poor fit
- Why:

Common Pitfalls

Do not infer exact demographics from vibes. Use available evidence and label assumptions.
Do not overpromise audience details for platforms that do not expose them publicly.
Do not ignore mismatch between creator location and audience location.

FAQ

What does the audience-research skill do?

How do I install audience-research?

Run npx skills add https://github.com/scrapecreators/social-media-research-skills --skill audience-research in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/audience-research/ (personal) or .claude/skills/audience-research/ (project).

Which AI agents can use audience-research?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is audience-research safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains audience-research?

It is published by scrapecreators in scrapecreators/social-media-research-skills. It has 1,221 recorded installs.