Agent skill · Backend & API

web-research-parallel

Web research API with OpenAI-compatible chat completions and async tasks

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill web-research-parallel --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/research-tools/capabilities/web-research-parallel/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

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

From the SKILL.md

# Parallel - Web Research API ## 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"` Web research API that returns OpenAI ChatCompletions-compatible responses. ## Capabilities - **Retrieve FindAll Run Status**: Retrieve a FindAll run (free) - **FindAll Run Result**: Retrieve the FindAll run result at the time of the request (free) - **Cancel FindAll Run**: Cancel a FindAll run (free) - **Retrieve Task Run Input**: Retrieves the input of a run by run_id (free) - **Retrieve Task Run**: Retrieves run status by run_id (free) - **Ingest FindAll Run**: Transforms a natural language search objective into a structured FindAll spec - **Retrieve Task Run Result**: Retrieves a run result by run_id, blocking until th

What's inside
Steps it walks through
  1. Setup
  2. Capabilities
  3. Usage
  4. Retrieve FindAll Run Status (free)
  5. FindAll Run Result (free)
  6. Cancel FindAll Run (free)
  7. Retrieve Task Run Input (free)
  8. Retrieve Task Run (free)
  9. Ingest FindAll Run
  10. Retrieve Task Run Result (free)
  11. Create FindAll Run
  12. Search
  13. Chat API
  14. Extract
Ships with 1 file
  • skill.meta.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 web-research-parallel skill do?

Web research API with OpenAI-compatible chat completions and async tasks

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill web-research-parallel --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 gooseworks-ai/goose-skills, a repository with 1,091 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.

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