orthogonal-job-search
Search for jobs matching your skills, experience, and preferences
Best use case
orthogonal-job-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search for jobs matching your skills, experience, and preferences
Teams using orthogonal-job-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/orthogonal-job-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orthogonal-job-search Compares
| Feature / Agent | orthogonal-job-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search for jobs matching your skills, experience, and preferences
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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" \
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