Influencer Discovery
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
A skill your agent uses when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments…
Install Audience Research
$ npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills audience-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/audience-research .claude/skills/audience-research && rm -rf skills-srcUse ~/.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/
Install the "audience-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research into .claude/skills/audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills audience-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/audience-research .agents/skills/audience-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "audience-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research into .agents/skills/audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills audience-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/audience-research .cursor/skills/audience-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "audience-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research into .cursor/skills/audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ScrapeCreators/social-media-research-skills.git --path skills/audience-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills audience-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/audience-research .gemini/skills/audience-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "audience-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research into .gemini/skills/audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ScrapeCreators/social-media-research-skills audience-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/audience-research .github/skills/audience-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "audience-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research into .github/skills/audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills audience-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/audience-research .opencode/skills/audience-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "audience-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/audience-research into .opencode/skills/audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
audience-research- GitHub stars
- 3.3k
- Token cost
- ~635 tokens
- SKILL.md length
- 186 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments…
- Works in 5 steps: Pull profile and available… → Pull recent content and comments if… → Extract region, language, niche,… → …
- The user wants to evaluate a creator
- SKILL.md covers Overview, When to Use, Useful Sources and Workflow, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Audience Research is an agent skill from ScrapeCreators/social-media-research-skills. 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.
Its SKILL.md is about 640 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 Market research and Influencer and creator marketing. It works with TikTok. The repository describes itself as: AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn &… The licence is MIT.
When your agent uses it
- The user wants to evaluate a creator
- Brand audience using public profile signals
- TikTok audience demographics
- Follower/following data
Example prompts
- “/audience-research”
Requirements
- A credential in SCRAPECREATORS_API_KEY
- Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 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.
What it can do on your machine
Read from SKILL.md and the folder at commit 64ba7b4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteWebFetch
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Audience Research loads about 635 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 186 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, WebFetch
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 ScrapeCreators/social-media-research-skills at commit 64ba7b4, republished under its MIT licence (© ScrapeCreators). 186 words, ~635 tokens.
Download SKILL.mdSave it as
.claude/skills/audience-research/SKILL.md (or your agent's skills folder).- name
- audience-research
- description
- 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.
- allowed-tools
- Bash, Read, Write, WebFetch
- version
- 1.0.0
- author
- ScrapeCreators
- license
- MIT
- homepage
- https://scrapecreators.com
- repository
- https://github.com/ScrapeCreators/social-media-research-skills
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.
© ScrapeCreators, 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/audience-research of ScrapeCreators/social-media-research-skills.
Open the folder on GitHubat commit 64ba7b4
Compare with similar skills
Audience Research 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Audience Research this skillScrapeCreators/social-media-research-skills | 3.3k | — | ~635 | Automated safety check: Notes | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 211 | — | ~2.5k | Automated safety check: Notes | None | |
| Reelclaw Adsdansugc/reelclaw | 145 | — | ~3.9k | Automated safety check: Notes | MIT | |
| Gingiris Ugc MatrixGingiris-1031/Competitor-analysis-tool | 110 | — | ~790 | Automated safety check: Pass | None | |
| Youtube Channel API Skillbrowser-act/skills | 6.1k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Higgsfield Content FactoryDaanKieft/ai-influencer | 116 | — | ~15k | Automated safety check: Pass | None |
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Related
Works with
Categories
Questions about Audience Research
What does Audience Research do?
A skill your agent uses when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments…. Audience Research is an agent skill from ScrapeCreators/social-media-research-skills. 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.
When should I use Audience Research?
Audience Research fits situations like: the user wants to evaluate a creator; brand audience using public profile signals; tikTok audience demographics; follower/following data.
How do I install Audience Research in Claude Code?
Run `npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a claude-code`. Or copy the skill folder (skills/audience-research in ScrapeCreators/social-media-research-skills) into .claude/skills/audience-research in your project. Claude Code loads it when a task matches its description.
How do I install Audience Research in Codex?
Run `npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a codex`. Or copy the skill folder (skills/audience-research in ScrapeCreators/social-media-research-skills) into .agents/skills/audience-research in your project. Codex loads it when a task matches its description.
Can I use Audience Research 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 ScrapeCreators/social-media-research-skills --skill audience-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audience-research, .gemini/skills/audience-research, .github/skills/audience-research and .opencode/skills/audience-research in your project.
What does Audience Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Audience Research is instructions for the agent only. Our summary lists: A credential in SCRAPECREATORS_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, WebFetch.
Does Audience Research 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 Audience Research safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Audience Research use?
Audience Research 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 Audience Research use?
About 635 tokens (SKILL.md is roughly 2.5k 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 Audience Research?
Skills that share tags, products or a category with Audience Research: Influencer Discovery (tigerless-labs/influencer-discovery, 211 stars), Reelclaw Ads (dansugc/reelclaw, 145 stars), Gingiris Ugc Matrix (Gingiris-1031/Competitor-analysis-tool, 110 stars) and Youtube Channel API Skill (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Audience Research?
ScrapeCreators (a GitHub organization) maintains it in ScrapeCreators/social-media-research-skills, which has 3,306 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 26, 2026.
Source: ScrapeCreators/social-media-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.