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janwilmake
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findall-api

Ingest natural-language objectives and orchestrate FindAll API discovery runs.

Updated Jan 22, 2026
Search Tags:#api#integration#streaming#parallel#candidates#findall
One-click install
npx skills add https://github.com/janwilmake/parallel-coding-skills --skill findall-api
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: findall-api
Source: https://github.com/janwilmake/parallel-coding-skills/tree/main/skills/findall-api
Command: npx skills add https://github.com/janwilmake/parallel-coding-skills --skill findall-api

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The FindAll API integration enables automatic discovery and evaluation of candidates from natural-language objectives within Parallel.

Core Features & Use Cases

  • Ingest objectives to generate structured findall schemas and run configurations.
  • Create, monitor, and retrieve results for parallel FindAll runs including streaming events and enrichments.
  • Use enrichments to extract additional fields for matched candidates and build richer outputs for downstream workflows.

Quick Start

Use the FindAll API to ingest an objective and create a run, then poll or stream results to access matched candidates.

Frequently Asked Questions about findall-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate candidate discovery from natural-language objectives in Parallel?▼

Automating candidate discovery in Parallel is achieved by using the FindAll API to ingest natural-language objectives, which generates structured schemas and run configurations for immediate evaluation.

Can I stream events and retrieve results for matched candidates in real time?▼

Streaming events and retrieving results for matched candidates in real time is supported by polling the runs and events endpoints to access candidate data as it becomes available.

How does the FindAll API extract additional fields for matched candidates?▼

The FindAll API extracts additional fields for matched candidates by using the enrich endpoint, which builds richer outputs for downstream workflows using core, preview, and pro generators.

What is the best way to orchestrate end-to-end candidate discovery workflows via API?▼

The best way to orchestrate end-to-end candidate discovery workflows via API is by sequentially calling the ingest, runs, retrieve, result, schema, enrich, extend, and events endpoints.

Does the FindAll API integration support parallel run creation and status monitoring?▼

Parallel run creation and status monitoring are fully supported, allowing you to create runs from ingested objectives and retrieve their current status to track candidate evaluation progress.

When should I use the extend endpoint in a candidate evaluation workflow?▼

You should use the extend endpoint in a candidate evaluation workflow when you need to augment existing schemas or run configurations to access additional matched candidate data.

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