Agent skill · Content & Marketing

orthogonal-exa

Neural web search - find similar content, extract pages, and run deep research

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill orthogonal-exa --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/orthogonal-exa/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Exa - Neural Web Search & Research ## 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"` Neural search engine for finding similar content, extracting pages, and deep research. ## Capabilities - **Exa Research**: Retrieve a paginated list of your research tasks - **Answer**: Get an LLM answer to a question informed by Exa search results - **Search**: The search endpoint lets you intelligently search the web and extract contents from the results - **Get a task**: Retrieve the status and results of a previously created research task - **Find similar links**: Find similar links to the link provided and optionally return the contents of the pages - **Create a task**: Create an asynchronous research task tha

What's inside
Steps it walks through
  1. Setup
  2. Capabilities
  3. Usage
  4. Exa Research
  5. Answer
  6. Search
  7. Get a task
  8. Find similar links
  9. Create a task
  10. Get contents
  11. Use Cases
  12. Discover More
Ships with 1 file
  • metadata.json
Commands it runs
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'))")
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
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About this skill
What does the orthogonal-exa skill do?

Neural web search - find similar content, extract pages, and run deep research

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill orthogonal-exa --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going