Agent skill

Influencer Prospecting

by ScrapeCreators in ScrapeCreators/social-media-research-skills

A skill your agent uses when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research.

MITAuto-check: notesMarketing & SEO

Install Influencer Prospecting

skills CLI
$ npx skills add ScrapeCreators/social-media-research-skills --skill influencer-prospecting -a claude-code

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

GitHub CLI
$ gh skill install ScrapeCreators/social-media-research-skills influencer-prospecting --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/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/influencer-prospecting .claude/skills/influencer-prospecting && 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
influencer-prospecting
GitHub stars
3.3k
Token cost
~629 tokens
SKILL.md length
165 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 find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research.

  • The user wants to find creators
  • SKILL.md covers Overview, When to Use, Useful Sources and Scoring Framework, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Social accounts in a niche for outreach

What it does

Influencer Prospecting is an agent skill from ScrapeCreators/social-media-research-skills. Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.

Its SKILL.md is about 630 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 Influencer and creator marketing and Cold outreach. 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 find creators
  • Social accounts in a niche for outreach
  • Competitive research

Example prompts

  • “/influencer-prospecting”

Requirements

  • A credential in SCRAPECREATORS_API_KEY
  • Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch

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:

    • Bash
    • Read
    • Write
    • WebFetch

    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

Influencer Prospecting loads about 629 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 165 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~629

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). 165 words, ~629 tokens.

Download SKILL.mdSave it as .claude/skills/influencer-prospecting/SKILL.md (or your agent's skills folder).
name
influencer-prospecting
description
Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.
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

Influencer Prospecting

Overview

Build practical creator prospect lists from public social data. The goal is to find accounts that fit the niche, have enough reach, and show evidence of relevant content or audience fit.

When to Use

Use this skill when the user asks to:

  • find influencers or creators in a niche
  • build a UGC, affiliate, sponsorship, or seeding list
  • find micro-influencers with strong engagement
  • identify creators who already talk about a product category
  • export prospects as CSV

Useful Sources

  • TikTok search users, popular creators, profile, profile videos, audience demographics
  • Instagram search profiles, profile, posts, reels
  • YouTube search and channel details
  • Link-in-bio services: Linktree, Komi, Pillar, Linkbio, Linkme
  • Amazon Shop and TikTok Shop showcase where relevant

Scoring Framework

Score each prospect 1-5 on:

  • Niche fit — content clearly matches the category
  • Audience fit — country/language/platform fit when public data supports it
  • Reach — followers/subscribers and recent views
  • Engagement quality — comments look real and relevant
  • Brand safety — obvious controversy or mismatch risk
  • Contactability — public links/email/contact path available

Output Format

markdown
# Influencer Prospect List: {niche}

| Creator | Platform | Followers | Recent views | Fit | Contact path | Notes |
|---|---|---:|---:|---:|---|---|

## Best Fits
1. ...

## Outreach Angles
- ...

## CSV
```csv
creator,platform,profile_url,followers,recent_views,fit_score,contact_path,notes

## Common Pitfalls

- Do not equate large follower count with good fit.
- Do not scrape or expose private contact data. Use public links only.
- Do not hide uncertainty when profiles have limited public data.

© 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/influencer-prospecting of ScrapeCreators/social-media-research-skills.

Open the folder on GitHubat commit 64ba7b4

Compare with similar skills

Influencer Prospecting 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.

Influencer Prospecting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Influencer Prospecting this skillScrapeCreators/social-media-research-skills3.3k—~629Automated safety check: NotesMIT
Creator OutreachOotto-AI/claude-content-skills112—~827Automated safety check: PassMIT
Decision Makers Mapexplorium-ai/gtm-skills163—~2.4kAutomated safety check: PassMIT
Kol Discoverysandbaseai/sandbase-skills201—~769Automated safety check: PassApache-2.0
Marketing For Foundersnpc-live/clawfirm156—~911Automated safety check: PassNone
AI Content Disclosureborghei/Claude-Skills881—~3.4kAutomated safety check: PassMIT

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  • Ad Library Teardown

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  • Audience Research

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  • Comment Mining

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  • Competitor Social Research

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  • Content Repurposing

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Questions about Influencer Prospecting

What does Influencer Prospecting do?

A skill your agent uses when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Influencer Prospecting is an agent skill from ScrapeCreators/social-media-research-skills. Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research.

When should I use Influencer Prospecting?

Influencer Prospecting fits situations like: the user wants to find creators; social accounts in a niche for outreach; competitive research.

How do I install Influencer Prospecting in Claude Code?

Run `npx skills add ScrapeCreators/social-media-research-skills --skill influencer-prospecting -a claude-code`. Or copy the skill folder (skills/influencer-prospecting in ScrapeCreators/social-media-research-skills) into .claude/skills/influencer-prospecting in your project. Claude Code loads it when a task matches its description.

How do I install Influencer Prospecting in Codex?

Run `npx skills add ScrapeCreators/social-media-research-skills --skill influencer-prospecting -a codex`. Or copy the skill folder (skills/influencer-prospecting in ScrapeCreators/social-media-research-skills) into .agents/skills/influencer-prospecting in your project. Codex loads it when a task matches its description.

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

What does Influencer Prospecting need to run?

SKILL.md names no scripts, command-line tools or credentials: Influencer Prospecting 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 Influencer Prospecting 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 Influencer Prospecting 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 Influencer Prospecting use?

Influencer Prospecting 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 Influencer Prospecting use?

About 629 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 Influencer Prospecting?

Skills that share tags, products or a category with Influencer Prospecting: Creator Outreach (Ootto-AI/claude-content-skills, 112 stars), Decision Makers Map (explorium-ai/gtm-skills, 163 stars), Kol Discovery (sandbaseai/sandbase-skills, 201 stars) and Marketing For Founders (npc-live/clawfirm, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Influencer Prospecting?

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.