Job Auto Apply
sundial-org/awesome-openclaw-skills
Automated job search and application system for Clawdbot. An agent skill from sundial-org/awesome-openclaw-skills.
People, company, investor, and job search with LinkedIn data enrichment
$ npx skills add gooseworks-ai/goose-skills --skill people-company-search-fiber -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills people-company-search-fiber --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/lead-generation/capabilities/people-company-search-fiber .claude/skills/people-company-search-fiber && 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 "people-company-search-fiber" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/people-company-search-fiber into .claude/skills/people-company-search-fiber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "people-company-search-fiber", 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/lead-generation/capabilities/people-company-search-fiberType 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 people-company-search-fiber -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills people-company-search-fiber --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/lead-generation/capabilities/people-company-search-fiber .agents/skills/people-company-search-fiber && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "people-company-search-fiber" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/people-company-search-fiber into .agents/skills/people-company-search-fiber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "people-company-search-fiber", 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 people-company-search-fiber -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills people-company-search-fiber --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/lead-generation/capabilities/people-company-search-fiber .cursor/skills/people-company-search-fiber && 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 "people-company-search-fiber" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/people-company-search-fiber into .cursor/skills/people-company-search-fiber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "people-company-search-fiber", 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/lead-generation/capabilities/people-company-search-fiber--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 people-company-search-fiber -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills people-company-search-fiber --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/lead-generation/capabilities/people-company-search-fiber .gemini/skills/people-company-search-fiber && 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 "people-company-search-fiber" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/people-company-search-fiber into .gemini/skills/people-company-search-fiber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "people-company-search-fiber", 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 people-company-search-fiberInstalls 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 people-company-search-fiber -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/lead-generation/capabilities/people-company-search-fiber .github/skills/people-company-search-fiber && 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 "people-company-search-fiber" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/people-company-search-fiber into .github/skills/people-company-search-fiber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "people-company-search-fiber", 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 people-company-search-fiber -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 people-company-search-fiber --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/lead-generation/capabilities/people-company-search-fiber .opencode/skills/people-company-search-fiber && 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 "people-company-search-fiber" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/people-company-search-fiber into .opencode/skills/people-company-search-fiber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "people-company-search-fiber", 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.
people-company-search-fiberPeople, company, investor, and job search with LinkedIn data enrichment
People Company Search Fiber is an agent skill from gooseworks-ai/goose-skills. People, company, investor, and job search with LinkedIn data enrichment
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Business, Finance & HR, covering Job search and resumes and Resume and CV writing. 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 first numbered list 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.
Shell commands in SKILL.md call:
curlpython3npxFrom 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.comapi.gooseworks.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GOOSEWORKS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
People Company Search Fiber loads about 4.9k tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 1,845 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 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); files beside SKILL.md are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,845 words, ~4,894 tokens.
.claude/skills/people-company-search-fiber/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.| Endpoint | Cost | Notes |
|---|---|---|
/v1/natural-language-search/profiles | $0.02/record (pageSize × $0.02) | Default $0.50 if no pageSize |
/v1/people-search | $0.02/record (pageSize × $0.02) | Default $0.50 if no pageSize |
/v1/natural-language-search/companies | Varies | |
/v1/kitchen-sink/person | Varies | Single lookup |
/v1/validate-email/single | ~$0.02 |
Cheaper alternative for people search: Apollo mixed_people/search costs $0.01 flat per call regardless of result count. Use $GOOSEWORKS_API_BASE/v1/proxy/apollo/mixed_people/search when possible.
Tip: Use the dedicated proxy route $GOOSEWORKS_API_BASE/v1/proxy/fiber/... instead of the generic orthogonal proxy for cleaner billing tracking.
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Comprehensive search and enrichment for people, companies, investors, and jobs.
Takes free-form text (e.g., 'Software engineers in US with 5+ years of experience') and returns a list of matching profiles.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/natural-language-search/profiles","body":{"query":"Software engineers in San Francisco with 5+ years experience"}}'Takes free-form text (e.g., 'Series A startups in USA with 50–200 employees') and returns a list of matching companies.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/natural-language-search/companies","body":{"query":"Series A startups in fintech with 50-200 employees"}}'Do a reverse lookup: given an email address, find someone's LinkedIn profile and personal details. Note: if you also have the person's name, company, etc., you'll get better results with the Kitchen Sink endpoint, where you can pass all the information you have.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/email-to-person/single","body":{"email":"john@company.com"}}'Returns an enriched profile with details for a given LinkedIn profile identifier
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/linkedin-live-fetch/profile/single","body":{"identifier":"https://linkedin.com/in/johndoe"}}'Checks if a given email is likely to bounce using a waterfall of strategies. Works for catch-all email addresses, which are increasingly common yet hard for other APIs to validate.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/validate-email/single","body":{"email":"john@example.com"}}'Search for a person using a variety of parameters such as LinkedIn slug, LinkedIn URL, or their current company information. Returns profile data for the person if found.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/kitchen-sink/person","body":{"linkedin_url":"https://linkedin.com/in/johndoe"}}'Search for a company using a variety of parameters such as LinkedIn slug, LinkedIn URL, name, etc. Returns complete company data if found.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/kitchen-sink/company","body":{"domain":"openai.com"}}'Search for investors with flexible filtering capabilities
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/investor-search"}'
"searchParams": {
"investment_stages": ["Seed", "Series A"],
"industries": ["AI", "SaaS"]
}
}'Fetches recent posts from a LinkedIn profile. Returns a paginated feed of posts with optional cursor for pagination. Each page returns up to 50 posts.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/linkedin-live-fetch/profile-posts","body":{"identifier":"https://linkedin.com/in/johndoe"}}'Returns an enriched company with details for a given LinkedIn company identifier
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/linkedin-live-fetch/company/single","body":{"identifier":"https://linkedin.com/company/openai"}}'Search for people using filters
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/people-search"}'
"searchParams": {
"job_titles": ["CTO", "VP Engineering"],
"locations": ["San Francisco", "New York"]
}
}'Fetches paginated comments for a LinkedIn post. Each page contains up to 10 comments.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/linkedin-live-fetch/post-comments","body":{"identifier":"https://linkedin.com/feed/update/urn:li:activity:1234"}}'Search for companies using filters
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/company-search"}'
"searchParams": {
"industries": ["Software", "AI"],
"employee_count_min": 50,
"employee_count_max": 500
}
}'Takes free-form text (e.g., 'Series A startups in USA with 50–200 employees') and converts it into a structured set of filters for company search.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/text-to-search-params/companies","body":{"query":"AI startups in healthcare"}}'Takes free-form text (e.g., 'Software engineers in US with 5+ years of experience') and converts it into a structured set of filters for profile search.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/text-to-search-params/profiles","body":{"query":"Senior engineers at FAANG companies"}}'Search for job postings with flexible filtering capabilities
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/job-search"}'
"searchParams": {
"job_titles": ["Software Engineer"],
"locations": ["Remote"]
}
}'Fetches paginated reactions of a specific type for a LinkedIn post. Each page contains up to 10 reactions.
Parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/linkedin-live-fetch/post-reactions","body":{"identifier":"https://linkedin.com/feed/update/urn:li:activity:1234"}}'For full endpoint details and parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"fiber API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"fiber","path":"/v1/natural-language-search/profiles"}' # Get endpoint details© 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 1 other file in skills/lead-generation/capabilities/people-company-search-fiber 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 9, 2026.
People Company Search Fiber 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 |
|---|---|---|---|---|---|---|
| People Company Search Fiber this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Job Auto Applysundial-org/awesome-openclaw-skills | 663 | — | ~1.7k | Automated safety check: Pass | None | |
| Career-Ops Job Search Centercareer-ops-hq/career-ops | 74k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Reactive Resume Builderreactive-resume/reactive-resume | 44k | — | ~2k | Automated safety check: Pass | MIT | |
| LinkedIn Job SearchMadsLorentzen/ai-job-search | 45k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool | 2.1k | — | ~2.3k | Automated safety check: Pass | Custom licence |
sundial-org/awesome-openclaw-skills
Automated job search and application system for Clawdbot. An agent skill from sundial-org/awesome-openclaw-skills.
career-ops-hq/career-ops
Routes job-search requests to modes for evaluating offers, scanning portals, generating tailored CVs, tracking applications and drafting outreach, starting from a pasted job URL or description.
reactive-resume/reactive-resume
Builds resumes as valid JSON for the open-source Reactive Resume app by interviewing you, and can track job applications through its MCP tools.
MadsLorentzen/ai-job-search
Searches LinkedIn's public job listings for any location or remote work and fetches the full description of a posting, with no login or API key.
LiuMengxuan04/shushu-internship-tool
Turns a target internship job description into a resume-ready, interview-ready project by finding and auditing GitHub projects and drafting resume bullets and interview Q&A.
reactive-resume/reactive-resume
Runs the job-search pipeline. An agent skill from reactive-resume/reactive-resume.
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
People, company, investor, and job search with LinkedIn data enrichment. People Company Search Fiber is an agent skill from gooseworks-ai/goose-skills.
People Company Search Fiber fits situations like: tasks that involve Job search and resumes; tasks that involve Resume and CV writing.
Run `npx skills add gooseworks-ai/goose-skills --skill people-company-search-fiber -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/people-company-search-fiber in gooseworks-ai/goose-skills) into .claude/skills/people-company-search-fiber in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill people-company-search-fiber -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/people-company-search-fiber in gooseworks-ai/goose-skills) into .agents/skills/people-company-search-fiber 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 people-company-search-fiber -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/people-company-search-fiber, .gemini/skills/people-company-search-fiber, .github/skills/people-company-search-fiber and .opencode/skills/people-company-search-fiber in your project.
Going by SKILL.md and its folder, People Company Search Fiber needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.
SKILL.md names 2 domains. In commands or code: linkedin.com and api.gooseworks.ai; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
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. Review the folder before installing.
People Company Search Fiber is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.9k tokens (SKILL.md is roughly 20k 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 People Company Search Fiber: Job Auto Apply (sundial-org/awesome-openclaw-skills, 663 stars), Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars) and LinkedIn Job Search (MadsLorentzen/ai-job-search, 45k 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.