Social Media Finder Skill
browser-act/skills
This skill helps users automatically find social media profiles across platforms like Facebook, Twitter, Instagram, LinkedIn, etc.
Discover top LinkedIn influencers and voices by topic, industry, follower count, and country.
Install Linkedin Influencer Discovery
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-influencer-discovery --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/social/capabilities/linkedin-influencer-discovery .claude/skills/linkedin-influencer-discovery && 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 "linkedin-influencer-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-influencer-discovery into .claude/skills/linkedin-influencer-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-influencer-discovery", 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/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-influencer-discoveryType 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 gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-influencer-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/social/capabilities/linkedin-influencer-discovery .agents/skills/linkedin-influencer-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-influencer-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-influencer-discovery into .agents/skills/linkedin-influencer-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-influencer-discovery", 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 gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-influencer-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/social/capabilities/linkedin-influencer-discovery .cursor/skills/linkedin-influencer-discovery && 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 "linkedin-influencer-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-influencer-discovery into .cursor/skills/linkedin-influencer-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-influencer-discovery", 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/gooseworks-ai/goose-skills.git --path skills/social/capabilities/linkedin-influencer-discovery--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 gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-influencer-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/social/capabilities/linkedin-influencer-discovery .gemini/skills/linkedin-influencer-discovery && 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 "linkedin-influencer-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-influencer-discovery into .gemini/skills/linkedin-influencer-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-influencer-discovery", 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 gooseworks-ai/goose-skills linkedin-influencer-discoveryInstalls 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 gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/social/capabilities/linkedin-influencer-discovery .github/skills/linkedin-influencer-discovery && 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 "linkedin-influencer-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-influencer-discovery into .github/skills/linkedin-influencer-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-influencer-discovery", 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 gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-influencer-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/social/capabilities/linkedin-influencer-discovery .opencode/skills/linkedin-influencer-discovery && 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 "linkedin-influencer-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-influencer-discovery into .opencode/skills/linkedin-influencer-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-influencer-discovery", 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
linkedin-influencer-discovery- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~884 tokens
- SKILL.md length
- 275 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Discover top LinkedIn influencers and voices by topic, industry, follower count, and country.
- You need to find the top 100 voices in a space
- SKILL.md covers Quick Start, CLI Reference, Cost and Output Fields, plus 1 more section
- Runs Python scripts from its folder; calls python3 and pip; needs APIFY_API_TOKEN
- Build influencer lists for outreach
What it does
Linkedin Influencer Discovery is an agent skill from gooseworks-ai/goose-skills. Discover top LinkedIn influencers and voices by topic, industry, follower count, and country. Use when you need to find the top 100 voices in a space, build influencer lists for outreach, or identify thought leaders on LinkedIn.
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/discover_influencers.py` and `skill.meta.json`).
It sits in Marketing & SEO, covering Influencer and creator marketing. It works with LinkedIn and Apify. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- You need to find the top 100 voices in a space
- Build influencer lists for outreach
- Identify thought leaders on LinkedIn
Example prompts
- “/linkedin-influencer-discovery”
Requirements
- Python 3
- A credential in APIFY_API_TOKEN
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
APIFY_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkedin Influencer Discovery loads about 884 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 275 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 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); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 275 words, ~884 tokens.
Download SKILL.mdSave it as
.claude/skills/linkedin-influencer-discovery/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- linkedin-influencer-discovery
- description
- Discover top LinkedIn influencers and voices by topic, industry, follower count, and country. Use when you need to find the top 100 voices in a space, build influencer lists for outreach, or identify thought leaders on LinkedIn.
LinkedIn Influencer Discovery
Discover top LinkedIn influencers by topic, country, and follower count using the Apify powerai/influencer-filter-api-scraper actor. Queries a database of 3.6M+ influencer profiles filtered to those with LinkedIn presence.
Quick Start
Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.
# Find top AI influencers with LinkedIn profiles
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
--topic "artificial intelligence" --max-results 50 --output summary
# Find SaaS influencers in the US
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
--topic "saas" --country "United States of America" --output summary
# Find marketing influencers with email available
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
--topic "marketing" --has-email --max-results 100
# Filter to a specific follower range
python3 skills/linkedin-influencer-discovery/scripts/discover_influencers.py \
--topic "fintech" --min-followers 10000 --max-followers 500000 --output summaryCLI Reference
| Flag | Default | Description |
|---|---|---|
--topic | required | Topic to search (e.g. "artificial intelligence", "saas", "marketing") |
--category | none | Category filter (e.g. "technology", "business", "lifestyle") |
--country | none | Country (e.g. "United States of America", "United Kingdom") |
--language | English | Language filter |
--min-followers | 0 | Minimum follower count (client-side filter) |
--max-followers | 0 (unlimited) | Maximum follower count (client-side filter) |
--has-email | false | Only return influencers with an email address |
--max-results | 100 | Max influencers to discover (up to 1000) |
--output | json | Output format: json or summary |
--token | env var | Apify token (prefer APIFY_API_TOKEN env var) |
--timeout | 600 | Max seconds to wait for Apify run |
Cost
~$0.01 per result. 100 influencers ~ $1.00. The script prints a cost estimate before running.
Output Fields
Each influencer result includes (when available):
full_name- Display nameusername- Social media handlebiography- Bio textfollower_count- Total followers (across platforms)following_count- Following countmain_topic- Primary topic/nichetopics- List of associated topicscategory_name- Category classificationlinkedin_url- LinkedIn profile URLhas_email- Whether email is availableexternal_url- Website URLscountry,city- Locationis_verified- Verification status
Notes
- Results are sorted by follower count (descending) by default
- The actor queries a pre-indexed database, not live LinkedIn search
- Follower counts are across all platforms, not LinkedIn-specific
- The
--min-followersand--max-followersflags filter client-side after results return - For detailed profile enrichment, use the Apify
harvestapi/linkedin-profile-scraperactor on the discovered LinkedIn URLs - For post analysis, use the Apify
harvestapi/linkedin-profile-postsactor on the discovered LinkedIn URLs
© gooseworks-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
SKILL.md and 2 other files (scripts) in skills/social/capabilities/linkedin-influencer-discovery of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/discover_influencers.py
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Compare with similar skills
Linkedin Influencer Discovery 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 |
|---|---|---|---|---|---|---|
| Linkedin Influencer Discovery this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~884 | Automated safety check: Pass | MIT | |
| Social Media Finder Skillbrowser-act/skills | 6.1k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Google Social Media Finderbrowser-act/skills | 6.1k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Apify Influencer Discoverysickn33/agentic-awesome-skills | 47k | 2 repos | ~1.3k | Automated safety check: Notes | MIT | |
| Gingiris Kol OutreachGingiris-1031/Competitor-analysis-tool | 110 | — | ~965 | Automated safety check: Pass | None | |
| Running MarketingGTM-Strategist/gtm-strategist-skills | 264 | — | ~7.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Linkedin Influencer Discovery
What does Linkedin Influencer Discovery do?
Discover top LinkedIn influencers and voices by topic, industry, follower count, and country. Linkedin Influencer Discovery is an agent skill from gooseworks-ai/goose-skills. Discover top LinkedIn influencers and voices by topic, industry, follower count, and country.
When should I use Linkedin Influencer Discovery?
Linkedin Influencer Discovery fits situations like: you need to find the top 100 voices in a space; build influencer lists for outreach; identify thought leaders on LinkedIn.
How do I install Linkedin Influencer Discovery in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a claude-code`. Or copy the skill folder (skills/social/capabilities/linkedin-influencer-discovery in gooseworks-ai/goose-skills) into .claude/skills/linkedin-influencer-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Linkedin Influencer Discovery in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a codex`. Or copy the skill folder (skills/social/capabilities/linkedin-influencer-discovery in gooseworks-ai/goose-skills) into .agents/skills/linkedin-influencer-discovery in your project. Codex loads it when a task matches its description.
Can I use Linkedin Influencer Discovery 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 gooseworks-ai/goose-skills --skill linkedin-influencer-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-influencer-discovery, .gemini/skills/linkedin-influencer-discovery, .github/skills/linkedin-influencer-discovery and .opencode/skills/linkedin-influencer-discovery in your project.
What does Linkedin Influencer Discovery need to run?
Going by SKILL.md and its folder, Linkedin Influencer Discovery needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.
Does Linkedin Influencer Discovery access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Linkedin Influencer Discovery 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Linkedin Influencer Discovery use?
Linkedin Influencer Discovery 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 Linkedin Influencer Discovery use?
About 884 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 Linkedin Influencer Discovery?
Skills that share tags, products or a category with Linkedin Influencer Discovery: Social Media Finder Skill (browser-act/skills, 6.1k stars), Google Social Media Finder (browser-act/skills, 6.1k stars), Apify Influencer Discovery (sickn33/agentic-awesome-skills, 47k stars) and Gingiris Kol Outreach (Gingiris-1031/Competitor-analysis-tool, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkedin Influencer Discovery?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.