research-to-article

Name: research-to-article
Availability: InStock
Author: notque

Orchestrate parallel research agents to generate voice-first articles with deterministic validation.

415|44|Updated Mar 18, 2026

Search Tags:#automation #research #validation #multi-agent #voice #article #pipeline

Ready to run

npx skills add https://github.com/notque/claude-code-toolkit --skill research-to-article

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-to-article
Source: https://github.com/notque/claude-code-toolkit/tree/main/skills/research-to-article
Command: npx skills add https://github.com/notque/claude-code-toolkit --skill research-to-article

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill orchestrates a complete, end-to-end research-to-article pipeline for voice content generation. It coordinates parallel agents to collect data, compiles findings into a coherent story arc, then generates a narrative article with voice-first writing, followed by deterministic validation and final artifact output.

Core Features & Use Cases

Orchestrate end-to-end research-to-article pipeline with parallel agents
Compile multi-source research into structured documents with a story arc
Generate voice-authentic articles using voice skills and profiles
Validate output deterministically with a validation tool and save artifacts
Gracefully degrade when agents timeout or return incomplete data

Quick Start

Launch the full research-to-article pipeline by initiating five parallel research agents for your subject, then compile, ground, generate, and validate to produce a publish-ready article.

Frequently Asked Questions about research-to-article

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

FAQPage Schema

How do I automate research into a publish-ready article?▼

Automate research-to-article workflows by launching five parallel research agents to collect data, compiling findings into a story arc, and generating a narrative article with voice-first delivery and deterministic validation.

What is a multi-agent pipeline for voice content generation?▼

A multi-agent pipeline for voice content generation coordinates parallel agents to gather research, structures the data into a narrative, and applies deterministic validation to produce voice-authentic articles.

How do I compile multi-source research into a structured article?▼

Compile multi-source research by orchestrating parallel agents that collect data, then aggregate the findings into a coherent document with a structured story arc before generating the final article.

Does the research-to-article pipeline handle incomplete data from agents?▼

Yes, the research-to-article pipeline gracefully degrades when parallel agents timeout or return incomplete data, ensuring the workflow continues to compile available findings and generate the article.

Can I validate generated articles deterministically before publishing?▼

Yes, you can validate generated articles deterministically using voice_validator.py to check the voice-authentic output before saving the final artifacts to disk.