An AI-driven LinkedIn assistant that scrapes, filters, and scores job listings to find your perfect career match.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jobclaw
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jobclaw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Job Hunter?
Job Hunter is a sophisticated automation tool designed to streamline the modern job search. By leveraging the power of Openclaw Skills, this tool navigates LinkedIn to find real-time listings based on granular technical requirements and geographical preferences. It goes beyond basic searching by integrating with Google Gemini AI to analyze job descriptions and provide a compatibility score, ensuring you focus only on the most relevant opportunities.
The skill provides a conversational interface that makes complex job hunting as simple as chatting with an assistant. Whether you are looking for specific tech stacks like Python and FastAPI or seeking remote-only roles across multiple European countries, Job Hunter handles the heavy lifting of data collection and evaluation.
Job Hunter Use Cases
- Finding remote software engineering roles across specific countries like Spain or Germany.
- Filtering out noise in job boards by excluding recruitment agencies or specific keywords.
- Scoring job listings against a personal technical profile to prioritize high-value applications.
- Tracking job application history and saving interesting leads for future follow-up.
How Job Hunter Works
- Parameter Collection: The user provides search criteria such as keywords, required technologies, and preferred locations via a natural conversation.
- Scraping Engine: The skill executes a multi-page scrape of LinkedIn listings, handling per-country search logic to maximize result quality.
- AI Evaluation: If a Gemini API key is provided, the skill sends job details to the LLM to calculate a match score based on technologies and experience.
- Ranked Delivery: Results are presented in a clean, sorted format, highlighting top matches with scores and direct links to apply.
- Data Management: Users can save interesting leads to a local database for long-term tracking and organization.
Job Hunter Setup
First, ensure you have the necessary dependencies installed for this Openclaw Skills component:
pip install httpx selectolax google-genai
To enable AI-powered scoring, configure your Google Gemini API key:
python3 scripts/job_hunter.py setkey "YOUR_GEMINI_API_KEY"
Job Hunter Data Schema & Taxonomy
Job Hunter maintains an organized local storage system within ~/.openclaw/job-hunter/ to track your progress:
| File | Description |
|---|---|
config.json |
Stores the Gemini API key and global search preferences. |
history.json |
A log of previous search queries for easy re-runs. |
saved.json |
A permanent list of jobs you have marked for follow-up. |
Job Hunter Advanced Features
- Multilingual Support: Automatically detects user language and generates AI summaries in that language while preserving original job data.
- Granular Filtering: Support for LinkedIn-specific company size codes and experience level categories.
- Search Persistence: Capability to re-run historical searches with a single command to find new postings since the last check.
- AI Prompt Injection: Pass custom criteria like "Must use microservices" to influence how the AI scores potential matches.
SKILL.md
Loading
Related Openclaw Skills
Systeminformer Process Viewer
A robust command-line sysops toolkit for scanning, monitoring, and managing system processes with persistent local storage.
CorpusGraph: Document ETL & Entity Relationship Engine
An advanced document ETL and entity extraction engine that turns unstructured files into a searchable relationship graph for AI agents.
Marp: Markdown Presentation Ecosystem
Marp is a high-performance presentation ecosystem that converts plain Markdown files into professional slide decks, PDFs, and PowerPoint presentations.
OKX Prediction Skill
An advanced BTC market analysis skill that uses multi-timeframe logic and sentiment data to generate high-probability trade signals.
Security Audit Skill
A comprehensive security auditing tool designed to identify vulnerabilities in Move smart contracts through a rigorous 7-category safety checklist.
RedNote Viral Writer
A powerful AI assistant for creating viral Xiaohongshu (RedNote) content through trend analysis and automated copywriting.
METADATA
Featured*
