Employee Generated Content
kostja94/marketing-skills
When the user wants to plan, implement, or optimize employee-generated content (EGC) or employee advocacy.
Find Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search.
$ npx skills add gooseworks-ai/goose-skills --skill kol-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills kol-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/kol-discovery .claude/skills/kol-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 "kol-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/kol-discovery into .claude/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-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/kol-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 kol-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills kol-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/kol-discovery .agents/skills/kol-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 "kol-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/kol-discovery into .agents/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-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 kol-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills kol-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/kol-discovery .cursor/skills/kol-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 "kol-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/kol-discovery into .cursor/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-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/kol-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 kol-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills kol-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/kol-discovery .gemini/skills/kol-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 "kol-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/kol-discovery into .gemini/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-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 kol-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 kol-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/kol-discovery .github/skills/kol-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 "kol-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/kol-discovery into .github/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-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 kol-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 kol-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/kol-discovery .opencode/skills/kol-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 "kol-discovery" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/kol-discovery into .opencode/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-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.
kol-discoveryFind Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search.
Kol Discovery is an agent skill from gooseworks-ai/goose-skills. Find Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search. Given a company/idea and target domain, generates authority keywords, searches LinkedIn posts to find prolific authors with high engagement, and merges with web-researched influencers. Use when someone wants to "find influencers in X space" or "who are the KOLs for Y industry."
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/kol_discovery.py` and `skill.meta.json`).
It sits in Writing & Content, covering Social media posts and Influencer and creator marketing. It works with LinkedIn. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
linkedin.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
APIFY_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Kol Discovery loads about 1.5k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 591 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
I token** — set as `APIFY_API_TOKEN` in `.env`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.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 591 words, ~1,546 tokens.
.claude/skills/kol-discovery/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Find Key Opinion Leaders in any domain by searching LinkedIn posts for prolific, high-engagement authors and merging with web-researched influencers.
Core principle: Search for authority/thought-leadership keywords, not pain-language. We want people who shape conversation in the space — conference speakers, newsletter writers, podcast hosts, and prolific LinkedIn posters.
Ask the user these questions:
Based on intake, generate 15-25 topic/authority keywords. These are NOT pain-language — they're the terms thought leaders use when sharing expertise:
Also generate:
Present keywords to user for approval before running.
Save config in the current working directory or wherever the user prefers:
Config JSON structure:
{
"client_name": "example",
"domain_keywords": ["\"freight tech\" thought leadership", "supply chain innovation"],
"exclusion_patterns": ["hiring.*position", "we.re recruiting"],
"kol_title_keywords": ["vp", "founder", "analyst", "editor", "host"],
"vendor_exclude_keywords": ["software engineer", "saas", "recruiter"],
"domain_relevance_keywords": ["freight", "logistics", "supply chain"],
"country_filter": "",
"max_posts_per_keyword": 50,
"min_posts": 2,
"min_total_engagement": 50,
"top_n_kols": 50
}python3 skills/kol-discovery/scripts/kol_discovery.py \
--config kol-discovery.json \
--output-dir . \
[--test] [--web-kols kol-web-kols.json] [--yes]Flags:
--config (required) — path to client config JSON--output-dir — directory for output CSV (default: current working directory)--test — limit to 5 keywords (validation run)--web-kols — path to web-researched KOL JSON (agent generates this)--yes — skip cost confirmation prompts--max-runs — override Apify run limitWhat the script does:
apimaestro/linkedin-posts-search-scraper-no-cookies for each domain keywordCost estimate: ~$0.10 per keyword. Full run with 20 keywords: ~$2-3.
Always run with --test first.
Before or alongside the script, do web research to find known KOLs:
Save as JSON in the current working directory:
[
{
"name": "Jane Doe",
"linkedin_url": "https://www.linkedin.com/in/janedoe/",
"source": "FreightWaves conference speaker 2025",
"notes": "Hosts weekly logistics podcast"
}
]Pass to script via --web-kols.
Present results:
Common adjustments:
min_posts or min_total_engagement thresholdsCSV exported to the current working directory:
| Column | Description |
|---|---|
| Rank | Overall rank by KOL Score |
| Name | Full name |
| LinkedIn URL | Profile link |
| Headline | From LinkedIn |
| KOL Score | Composite score |
| Total Posts | Posts found in search |
| Total Reactions | Sum of reactions across posts |
| Total Comments | Sum of comments across posts |
| Avg Engagement | Average reactions+comments per post |
| Top Post URL | Highest engagement post |
| Top Post Preview | First 100 chars of top post |
| Source | post-data / web-research / both |
APIFY_API_TOKEN in .envapimaestro/linkedin-posts-search-scraper-no-cookies (keyword search)Trigger phrases:
With existing config:
python3 skills/kol-discovery/scripts/kol_discovery.py \
--config clients/example/configs/kol-discovery.json \
--output-dir clients/example/leads --yes© 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
SKILL.md and 2 other files (scripts) in skills/social/capabilities/kol-discovery of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
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 7, 2026.
Kol 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 |
|---|---|---|---|---|---|---|
| Kol Discovery this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~1.5k | Automated safety check: Notes | MIT | |
| Employee Generated Contentkostja94/marketing-skills | 1k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Linkedin Marketingsergebulaev/linkedin-skills | 4.4k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Linkedin Content Plannersergebulaev/linkedin-skills | 4.4k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
kostja94/marketing-skills
When the user wants to plan, implement, or optimize employee-generated content (EGC) or employee advocacy.
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
freekmurze/dotfiles
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.
sergebulaev/linkedin-skills
Plan, draft, audit, and publish LinkedIn posts and comments.
sergebulaev/linkedin-skills
Generate a 7-day LinkedIn content plan from a theme, audience, and pillars.
freekmurze/dotfiles
Create, schedule, and manage social media posts via Typefully.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Categories
Find Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search. Kol Discovery is an agent skill from gooseworks-ai/goose-skills. Find Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search.
Kol Discovery fits situations like: someone wants to find influencers in X space; who are the KOLs for Y industry.
Run `npx skills add gooseworks-ai/goose-skills --skill kol-discovery -a claude-code`. Or copy the skill folder (skills/social/capabilities/kol-discovery in gooseworks-ai/goose-skills) into .claude/skills/kol-discovery in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill kol-discovery -a codex`. Or copy the skill folder (skills/social/capabilities/kol-discovery in gooseworks-ai/goose-skills) into .agents/skills/kol-discovery in your project. Codex loads it when a task matches its description.
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 kol-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/kol-discovery, .gemini/skills/kol-discovery, .github/skills/kol-discovery and .opencode/skills/kol-discovery in your project.
Going by SKILL.md and its folder, Kol Discovery needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.
SKILL.md names 1 domain. In commands or code: linkedin.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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.
Kol Discovery is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Kol Discovery: Employee Generated Content (kostja94/marketing-skills, 1k stars), Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars) and Linkedin Marketing (sergebulaev/linkedin-skills, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.