Orchestrate FindAll runs and chat-style responses via a REST-like API.
npx skills add https://github.com/orthogonal-sh/skills --skill parallel-orthogonal-sh
Please help me install this Agent Skill. Skill: parallel Source: https://github.com/orthogonal-sh/skills/tree/main/skills/orthogonal-parallel Command: npx skills add https://github.com/orthogonal-sh/skills --skill parallel-orthogonal-sh
Web researchers and developers often need scalable, AI-assisted web discovery that can run asynchronously and return structured results, reducing manual digging and speeding insight generation.
Create a FindAll run with your objective and then poll the run status to retrieve the results.
High-intent search queries and answers about installing and using this skill.
Automate AI-powered web research asynchronously by creating a FindAll run with your objective and polling the run status endpoint to retrieve structured results. This orchestrates discovery and AI-assisted summaries across projects.
The FindAll run status polling mechanism works by exposing a REST-like API endpoint to query real-time run status. You start a run, poll its status until completion, and then retrieve the structured findings and AI-assisted summaries.
Yes, you can perform search, extract, and chat operations via a single REST-like API. The API exposes dedicated endpoints to execute these operations, enabling scalable web discovery and structured data extraction.
The best way to retrieve and manage async task run results is using the provided API endpoints to query run status, retrieve task run results, and cancel runs. This ensures auditable web findings and real-time run management.
Yes, the async web research API supports canceling active FindAll runs. You can use the dedicated cancel endpoint to terminate ongoing tasks, ensuring you maintain control over resource allocation and project scalability.
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