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Search for jobs across multiple boards and company career pages. Use when looking for new positions to apply to.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Process a batch of job applications - discover roles, prepare materials, pre-fill forms. Use when ready to apply to multiple positions.
Style guide for writing that doesn't sound AI-generated. Use when drafting cover letters, emails, or any professional communication.
Research-backed job application workflow emphasizing relationship-building over mass applications
Analyze resume against job description for ATS optimization and keyword gaps
Generate tailored interview questions and practice with STAR method feedback
| name | job-search |
| description | Search for jobs across multiple boards and company career pages. Use when looking for new positions to apply to. |
Search for jobs programmatically across Indeed, LinkedIn, Glassdoor, Google, ZipRecruiter, and directly via Greenhouse API.
When user asks to search for jobs, use the Python scripts in toolkit/scripts/:
python toolkit/scripts/job_search.py "ML engineer" --location "San Francisco, CA" --min-salary 200000 --hours 72
python greenhouse_search.py anthropic openai stripe --keyword "engineer" --min-salary 200000
job_search.py - Multi-board aggregatorUses JobSpy library to search:
Parameters:
search_term - Job title or keywords--location - City, State--remote - Remote jobs only--min-salary - Filter by minimum salary--hours - Posted within N hours (default: 72)--results - Results per site (default: 25)--output - Save to fileExample:
python job_search.py "software engineer" -l "New York, NY" -s 180000 -r --hours 48
greenhouse_search.py - Direct company searchQueries Greenhouse Job Board API (no auth needed for public listings).
Known companies: anthropic, openai, deepmind, stripe, databricks, insitro, biohub, czi, and more.
Parameters:
companies - One or more company names--keyword - Filter by keyword in title/description--min-salary - Minimum salary (extracted from descriptions)--location - Location filter--list-known - Show all known board tokensExample:
python greenhouse_search.py anthropic stripe openai --keyword "senior" --min-salary 250000
If scripts fail with import errors:
pip install python-jobspy pandas requests
job_search.py to find positions across boardsgreenhouse_search.py for specific target companies/apply <url> skill to start application processBoth scripts output: