Agent skill

People Company Search Fiber

by gooseworks-ai in gooseworks-ai/goose-skills

People, company, investor, and job search with LinkedIn data enrichment

MITAuto-check passedBusiness, Finance & HR

Install People Company Search Fiber

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill people-company-search-fiber -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills people-company-search-fiber --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/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-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
people-company-search-fiber
GitHub stars
1.2k
Used in
1 other repo
Token cost
~4.9k tokens
SKILL.md length
1,845 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

People, company, investor, and job search with LinkedIn data enrichment

  • Works in 5 steps: Recruiting: Find candidates matching… → Sales Prospecting: Build targeted lead… → Fundraising: Research investors in your… → …
  • Tasks that involve Job search and resumes
  • SKILL.md covers Cost Reference, Setup, Capabilities and Usage, plus 2 more sections
  • Calls curl, python3 and npx; reaches linkedin.com and api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

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.

When your agent uses it

  • Tasks that involve Job search and resumes
  • Tasks that involve Resume and CV writing

Example prompts

  • “/people-company-search-fiber”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Recruiting: Find candidates matching specific criteria
  2. Sales Prospecting: Build targeted lead lists
  3. Fundraising: Research investors in your space
  4. Competitive Intel: Track companies and their employees
  5. Job Search: Find relevant job opportunities

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

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • linkedin.com
    • api.gooseworks.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,845 words, ~4,894 tokens.

Download SKILL.mdSave it as .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.
name
people-company-search-fiber
description
People, company, investor, and job search with LinkedIn data enrichment
source
orthogonal

Fiber AI - People & Company Intelligence

Cost Reference

EndpointCostNotes
/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/companiesVaries
/v1/kitchen-sink/personVariesSingle 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.

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash
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.

Capabilities

  • Search profiles from text: Takes free-form text (e
  • Search companies from text: Takes free-form text (e
  • Find person by email: Do a reverse lookup: given an email address, find someone's LinkedIn profile and personal details
  • Live fetch LinkedIn profile: Returns an enriched profile with details for a given LinkedIn profile identifier
  • Validate a single email: Checks if a given email is likely to bounce using a waterfall of strategies
  • Kitchen sink person lookup: Search for a person using a variety of parameters such as LinkedIn slug, LinkedIn URL, or their current company information
  • Kitchen sink company lookup: Search for a company using a variety of parameters such as LinkedIn slug, LinkedIn URL, name, etc
  • Investor search: Search for investors with flexible filtering capabilities
  • Fetch LinkedIn profile posts: Fetches recent posts from a LinkedIn profile
  • Live fetch LinkedIn company: Returns an enriched company with details for a given LinkedIn company identifier
  • People search: Search for people using filters
  • Fetch LinkedIn post comments: Fetches paginated comments for a LinkedIn post
  • Company search: Search for companies using filters
  • Convert text into company search filters: Takes free-form text (e
  • Convert text into profile search filters: Takes free-form text (e
  • Job postings search: Search for job postings with flexible filtering capabilities
  • Fetch LinkedIn post reactions: Fetches paginated reactions of a specific type for a LinkedIn post

Usage

Search profiles from text

Takes free-form text (e.g., 'Software engineers in US with 5+ years of experience') and returns a list of matching profiles.

Parameters:

  • query* (string)
  • pageSize (integer) - The number of profiles to return, if you need to get more results, you can paginate.
  • getDetailedEducation (['boolean', 'null']) - Whether to include deep details about each educational item, like the school's LinkedIn URL, website, location, etc. That'll be put in the detailedEducation array. This slows down the API call, so only enable this if you need it.
  • getDetailedWorkExperience (['boolean', 'null']) - Whether to include deep details about each work experience item, like the company's LinkedIn URL, website, location, etc. That'll be put in the detailedWorkExperience array. This slows down the API call, so only enable this if you need it.
  • cursor (['string', 'null']) - A pagination cursor returned from a previous search response. Use this to fetch the next page of results.
bash
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"}}'
Search companies from text

Takes free-form text (e.g., 'Series A startups in USA with 50–200 employees') and returns a list of matching companies.

Parameters:

  • query* (string)
  • pageSize (integer) - The number of companies to return, if you need to get more results, you can paginate.
  • cursor (['string', 'null']) - A pagination cursor returned from a previous search response. Use this to fetch the next page of results.
bash
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"}}'
Find person by email

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:

  • email* (string) - The person's email address for which you want to do a reverse lookup
  • num_profiles (['number', 'null']) - Number of profiles to return. Maximum 10 profiles can be returned for given query. The returned profiles will be sorted by best match first.
bash
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"}}'
Live fetch LinkedIn profile

Returns an enriched profile with details for a given LinkedIn profile identifier

Parameters:

  • identifier* (string) - Identifier can be a profile's LinkedIn slug (e.g. 'williamhgates' from <linkedin.com/in/williamhgates>), a Sales Navigator URN (e.g. 'ACwAAA.....'), or a full LinkedIn URL (e.g. 'https://www.linkedin.com/in/williamhgates/')
  • getDetailedEducation (['boolean', 'null']) - Whether to include deep details about each educational item, like the school's LinkedIn URL, website, location, etc. That'll be put in the detailedEducation array. This slows down the API call, so only enable this if you need it.
  • getDetailedWorkExperience (['boolean', 'null']) - Whether to include deep details about each work experience item, like the company's LinkedIn URL, website, location, etc. That'll be put in the detailedWorkExperience array. This slows down the API call, so only enable this if you need it.
bash
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"}}'
Validate a single email

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:

  • email* (string) - The email to validate
bash
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"}}'
Kitchen sink person lookup

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:

  • profileIdentifier (string) - If provided and correct, we would always be able to find the profile. You do not need to pass in any other info if you pass this.
  • emailAddress (['string', 'null']) - The email address of the person to search for
  • personName (['object', 'null'])
  • jobTitle (['object', 'null'])
  • companyIdentifier (string) - The company the profile is currently working at. If provided the accuracy of the lookup increases. You do not need to pass in any other company parameters if you pass this.
  • companyName (['object', 'null'])
  • companyDomain (['object', 'null'])
  • numProfiles (integer) - The maximum number of profiles you want to fetch. Profiles are sorted by best match first.
  • liveFetch (['boolean', 'null']) - Whether to fetch the freshest copy of the found profiles's LinkedIn data (costs extra). If omitted or set to false, we'll give the cached data present in our database. The boolean flag is deprecated and will be removed in future. Please use the object instead.
  • forceCompanyMatch (['boolean', 'null']) - Whether to strictly match the company. If true, we will strictly lookup prospects which belong to given company details.
  • fuzzySearch (['boolean', 'null']) - Whether to use fuzzy search on names, job titles and other parameters. This is good if you are not sure about the exact name or job title.
  • getDetailedEducation (['boolean', 'null']) - Whether to include deep details about each educational item, like the school's LinkedIn URL, website, location, etc. That'll be put in the detailedEducation array. This slows down the API call, so only enable this if you need it.
  • getDetailedWorkExperience (['boolean', 'null']) - Whether to include deep details about each work experience item, like the company's LinkedIn URL, website, location, etc. That'll be put in the detailedWorkExperience array. This slows down the API call, so only enable this if you need it.
bash
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"}}'
Show full SKILL.md (720 more words)Show less
Kitchen sink company lookup

Search for a company using a variety of parameters such as LinkedIn slug, LinkedIn URL, name, etc. Returns complete company data if found.

Parameters:

  • companyIdentifier (string) - A unique identifier for the company. Accepts one of: linkedinSlug, linkedinUrl, or linkedinOrgID. Providing this increases the accuracy and speed of the lookup. If this is provided, you do not need to supply companyName or companyDomain.
  • companyName (['object', 'null'])
  • companyDomain (['object', 'null'])
  • numCompanies (integer) - The number of companies you want to fetch. Companies are sorted by best match first.
bash
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:

  • searchParams* (object) - Investor search filter parameters
  • pageSize (integer) - Number of investors to return per page (max 1000)
  • cursor (['string', 'null']) - Pagination cursor returned from a previous search response. Use this to fetch the next page of results. Null for the first page.
bash
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"]
  }
}'
Fetch LinkedIn profile posts

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:

  • identifier* (string) - Identifier can be a profile's LinkedIn slug (e.g. 'williamhgates' from <linkedin.com/in/williamhgates>), a Sales Navigator URN (e.g. 'ACwAAA.....'), or a full LinkedIn URL (e.g. 'https://www.linkedin.com/in/williamhgates/')
  • cursor (['string', 'null']) - Pagination cursor for fetching additional pages of posts
bash
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"}}'
Live fetch LinkedIn company

Returns an enriched company with details for a given LinkedIn company identifier

Parameters:

bash
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:

  • searchParams (object) - Search parameters for people search.
  • pageSize (integer) - The number of profiles to return, if you need to get more results, you can paginate.
  • cursor (['string', 'null']) - A pagination cursor returned from a previous search response. Use this to fetch the next page of results.
  • currentCompanies (['array', 'null']) - Filter people by the companies they are currently working for. If you want to search over many companies, we suggest using the Combined Search API, which is optimized for this use case.
  • prospectExclusionListIDs (['array', 'null']) - Filter out people which belong to the given prospect exclusion lists
  • companyExclusionListIDs (['array', 'null']) - Filter out people who work at companies which belong to the given company exclusion lists
bash
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"]
  }
}'
Fetch LinkedIn post comments

Fetches paginated comments for a LinkedIn post. Each page contains up to 10 comments.

Parameters:

  • contentId* (string) - You can get LinkedIn posts from the Profile or Company Posts endpoints. (e.g., 'urn:li:activity:7123456789012345678' or 'urn:li:ugcPost:7391650829398675456')
  • cursor (['string', 'null']) - Pagination cursor for fetching additional pages of posts
bash
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:

  • searchParams* (object) - Search parameters for company search API.
  • pageSize (integer) - The number of companies to return, if you need to get more results, you can paginate.
  • cursor (['string', 'null']) - A pagination cursor returned from a previous search response. Use this to fetch the next page of results.
  • companyExclusionListIDs (['array', 'null']) - Filter out companies which belong to the given company exclusion lists. You can create company exclusion lists via /v1/exclusions/companies/create-list
bash
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
  }
}'
Convert text into company search filters

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:

  • query* (string)
bash
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"}}'
Convert text into profile search filters

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:

  • query* (string)
bash
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:

  • searchParams* (object) - Job search filter parameters
  • pageSize (integer) - Number of jobs to return per page (max 1000)
  • cursor (['string', 'null']) - Pagination cursor for fetching next page of results
bash
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"]
  }
}'
Fetch LinkedIn post reactions

Fetches paginated reactions of a specific type for a LinkedIn post. Each page contains up to 10 reactions.

Parameters:

  • contentId* (string) - You can get LinkedIn posts from the Profile or Company Posts endpoints. (e.g., 'urn:li:activity:7123456789012345678' or 'urn:li:ugcPost:7391650829398675456')
  • reactionType (['string', 'null']) - Type of reaction to fetch. If null, all reactions will be fetched.
  • cursor (['string', 'null']) - Pagination cursor for fetching additional pages of posts
bash
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"}}'

Use Cases

  1. Recruiting: Find candidates matching specific criteria
  2. Sales Prospecting: Build targeted lead lists
  3. Fundraising: Research investors in your space
  4. Competitive Intel: Track companies and their employees
  5. Job Search: Find relevant job opportunities

Discover More

For full endpoint details and parameters:

bash
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

Files

SKILL.md and 1 other file in skills/lead-generation/capabilities/people-company-search-fiber of gooseworks-ai/goose-skills.

  • SKILL.md
  • 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

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.

People Company Search Fiber compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
People Company Search Fiber this skillgooseworks-ai/goose-skills1.2k1 repos~4.9kAutomated safety check: PassMIT
Job Auto Applysundial-org/awesome-openclaw-skills663—~1.7kAutomated safety check: PassNone
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.6kAutomated safety check: PassMIT
Reactive Resume Builderreactive-resume/reactive-resume44k—~2kAutomated safety check: PassMIT
LinkedIn Job SearchMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence

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Works with

Questions about People Company Search Fiber

What does People Company Search Fiber do?

People, company, investor, and job search with LinkedIn data enrichment. People Company Search Fiber is an agent skill from gooseworks-ai/goose-skills.

When should I use People Company Search Fiber?

People Company Search Fiber fits situations like: tasks that involve Job search and resumes; tasks that involve Resume and CV writing.

How do I install People Company Search Fiber in Claude Code?

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.

How do I install People Company Search Fiber in Codex?

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.

Can I use People Company Search Fiber 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 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.

What does People Company Search Fiber need to run?

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.

Does People Company Search Fiber access the network?

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.

Is People Company Search Fiber 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. Review the folder before installing.

What licence does People Company Search Fiber use?

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.

How many tokens does People Company Search Fiber use?

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.

What are the alternatives to People Company Search Fiber?

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.

Who maintains People Company Search Fiber?

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.