An AI-driven job search engine that matches developer skills to thousands of live job boards and ATS platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install farseek
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 farseek 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 Farseek?
Farseek is a specialized API designed to streamline the job hunting process by leveraging AI to analyze and match professional skills against a massive database of over 22,700 company boards. By integrating this Openclaw Skills compatible tool, developers can automate the discovery of relevant opportunities across major platforms like Greenhouse, Lever, and Workday.
The skill doesn't just search; it uses Claude-based intelligence to expand search terms and rank results based on technical relevance, ensuring that the most compatible roles are surfaced first. This approach significantly reduces the manual effort required to find high-quality job postings that align with specific technical backgrounds and career goals.
Farseek Use Cases
- Automating job discovery for specific tech stacks like Python, distributed systems, or Machine Learning.
- Building personalized career dashboards within AI coding agents using Openclaw Skills.
- Identifying high-tier job matches across multiple Applicant Tracking Systems (ATS) simultaneously.
- Monitoring remote or location-specific roles with specific historical job title context for better targeting.
How Farseek Works
- The user provides a list of technical skills, preferred locations, and target job titles to the Openclaw Skills interface.
- The Farseek API utilizes Claude to expand these skills into a broader set of relevant search terms.
- The system queries a vast network of over 20+ ATS platforms and tens of thousands of company career pages.
- Results are processed and assigned a Haiku score and a tier ranking (1 to 4) based on skill alignment.
- A curated list of up to 25 ranked job openings is returned with direct application links and cost metadata.
Farseek Setup
To integrate Farseek into your project or AI agent, you can interact with the REST endpoint directly. No complex installation is required as it is a web-based API designed for Openclaw Skills implementations.
curl -X POST https://farseek.ai/api/v1/search \
-H "Content-Type: application/json" \
-d '{
"skills": ["Python", "React"],
"location": "Remote",
"role": "Fullstack Developer"
}'
Ensure your agent handles the rate limit of 10 requests per minute to maintain optimal performance for your workflow.
Farseek Data Schema & Taxonomy
The API interacts with JSON payloads. The response includes job details and metadata for cost tracking to ensure transparency within Openclaw Skills workflows.
| Field | Description |
|---|---|
| jobs[] | List of job objects containing company, title, URL, and tier. |
| tier | Match quality (1 = Strong match, 4 = Broad match). |
| haiku_score | AI-generated relevance score (max 10). |
| meta | Usage stats including total results, tokens used, and cost in USD. |
The skill organizes its search logic by mapping user skills to thousands of job boards including Greenhouse, Lever, Ashby, Workday, SmartRecruiters, and BambooHR.
Farseek Advanced Features
- Multi-ATS Support: Simultaneously searches Greenhouse, Lever, Ashby, Workday, and 20+ other platforms.
- AI Tiering: Intelligent ranking system that classifies matches into four tiers of relevance for faster decision making.
- Skill Expansion: Automatically uses LLMs to broaden search terms, ensuring you don't miss roles with slightly different naming conventions.
- Usage Analytics: Detailed metadata for monitoring API usage and cost efficiency within Openclaw Skills environments.
- Cross-Origin Support: CORS enabled for any origin, making it highly flexible for web-based agent integrations.
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