Agent skill

Job Search

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

Search for jobs matching your skills, experience, and preferences

MITAuto-check passedBusiness, Finance & HR

Install Job Search

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill job-search -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills job-search --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/job-search .claude/skills/job-search && 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
job-search
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
138 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Search for jobs matching your skills, experience, and preferences

  • Works in 5 steps: Search Job Listings → Research Companies → Get Company Intel → …
  • Tasks that involve Job search and resumes
  • SKILL.md covers Setup, Workflow, Example Usage and Tips, plus 1 more section
  • Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Job Search is an agent skill from gooseworks-ai/goose-skills. Search for jobs matching your skills, experience, and preferences

Its SKILL.md is about 1.1k 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. 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

Example prompts

  • “/job-search”

Requirements

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

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Search Job Listings
  2. Research Companies
  3. Get Company Intel
  4. Find Hiring Managers
  5. Get Contact Info

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:

    • 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

Job Search loads about 1.1k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 138 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 138 words, ~1,092 tokens.

Download SKILL.mdSave it as .claude/skills/job-search/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
job-search
description
Search for jobs matching your skills, experience, and preferences
source
orthogonal

Job Search - Find Your Next Role

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"

Search for jobs matching your skills, experience level, and location preferences.

Workflow

Step 1: Search Job Listings

Use Fiber to search for jobs:

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", "Full Stack Developer"],
    "locations": ["San Francisco", "Remote"],
    "experience_level": "senior"
  }
}'
Step 2: Research Companies

Get company information for interesting roles:

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": {
    "company_names": ["Stripe", "Figma", "Notion"]
  }
}'
Step 3: Get Company Intel

Use Brand.dev for detailed company info:

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":"brand-dev","path":"/v1/brand/retrieve","query":{"domain":"stripe.com"}}'
Step 4: Find Hiring Managers

Find people at the company to network with:

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": {
    "company_names": ["Stripe"],
    "job_titles": ["Engineering Manager", "VP Engineering", "CTO"]
  }
}'
Step 5: Get Contact Info

Find email for outreach:

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":"hunter","path":"/v2/email-finder","query":{"domain":"stripe.com","first_name":"John","last_name":"Doe"}}'

Example Usage

bash
# Search for remote AI jobs
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": ["Machine Learning Engineer", "AI Engineer"],
    "locations": ["Remote"],
    "keywords": ["LLM", "generative AI"]
  }
}'

# Research a company
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"}'
  "query": "Tell me about Anthropic - funding, team size, culture"
}'

Tips

  • Customize your search for each application
  • Research company culture before applying
  • Network with people at target companies
  • Set up alerts for new postings

Discover More

List all endpoints, or add a path for parameter details:

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":"brand-dev API endpoints"}' api show fiber
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"hunter API endpoints"}'

Example: `curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"olostep","path":"/v1/scrapes`"}' for endpoint parameters.

© 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/job-search 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

Job Search 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.

Job Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Job Search this skillgooseworks-ai/goose-skills1.2k1 repos~1.1kAutomated safety check: PassMIT
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.6kAutomated safety check: PassMIT
Reactive Resume Builderreactive-resume/reactive-resume44k—~2kAutomated safety check: PassMIT
freehire Tech Job SearchMadsLorentzen/ai-job-search45k—~2.7kAutomated safety check: PassMIT
Interview Prepreactive-resume/reactive-resume44k—~10kAutomated safety check: PassMIT
LinkedIn Job SearchMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: PassMIT

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  • Reactive Resume Builder

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Questions about Job Search

What does Job Search do?

Search for jobs matching your skills, experience, and preferences. Job Search is an agent skill from gooseworks-ai/goose-skills.

When should I use Job Search?

Job Search fits situations like: tasks that involve Job search and resumes.

How do I install Job Search in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill job-search -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/job-search in gooseworks-ai/goose-skills) into .claude/skills/job-search in your project. Claude Code loads it when a task matches its description.

How do I install Job Search in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill job-search -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/job-search in gooseworks-ai/goose-skills) into .agents/skills/job-search in your project. Codex loads it when a task matches its description.

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

What does Job Search need to run?

Going by SKILL.md and its folder, Job Search 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 Job Search access the network?

SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Job Search 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 Job Search use?

Job Search 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 Job Search use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 Job Search?

Skills that share tags, products or a category with Job Search: Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars), freehire Tech Job Search (MadsLorentzen/ai-job-search, 45k stars) and Interview Prep (reactive-resume/reactive-resume, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Job Search?

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.