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Intake

Parse free-text research topics into structured ResearchBriefs with initial queries.

393|34|Updated Feb 10, 2026
Search Tags:#scoping#queries#web-research#intake#research-brief#domain-extraction#topic-processing
One-click install
npx skills add https://github.com/Pthahnix/De-Anthropocentric-Research-Engine --skill intake-pthahnix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Intake
Source: https://github.com/Pthahnix/De-Anthropocentric-Research-Engine/tree/main/skills/strategy/intake
Command: npx skills add https://github.com/Pthahnix/De-Anthropocentric-Research-Engine --skill intake-pthahnix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Intake transforms a user's research topic into a structured research brief with initial queries, reducing ambiguity and speeding up the planning phase.

Core Features & Use Cases

  • Parse a free-text topic into structured components: domain, focus, and constraints.
  • Generate an initial landscape using a three-pronged web-research tactic to surface terminology, venues, and leading groups.
  • Produce a ResearchBrief that includes domain, focus, constraints, initialQueries, fieldContext, and keyTerms for downstream analysis.
  • Enforce a Completeness Probe before producing the brief, ensuring terminology coverage and sub-directions are mapped.

Quick Start

Provide a structured ResearchBrief by parsing a user's free-text topic into domain, focus, constraints, and generating initial queries through web-research.

Frequently Asked Questions about Intake

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

FAQPage Schema
How do I convert a free-text research topic into a structured research brief?▼

To convert free-text topics into a structured research brief, the Intake skill parses your input into domain, focus, and constraints, then generates initial queries and field context for downstream web research.

What is the best way to generate initial queries for web research planning?▼

Generating initial queries for web research is done by mapping a free-text topic to its domain and focus, then producing a structured ResearchBrief that includes key terms and targeted initial queries.

How does mapping a topic to domain and constraints improve research scoping?▼

Mapping a topic to domain and constraints improves research scoping by reducing ambiguity, enforcing a completeness probe for terminology coverage, and structuring sub-directions before web research begins.

Can I use this structured brief output for downstream analysis without manual formatting?▼

Yes, the structured brief output is designed for downstream analysis, providing formatted fields like domain, focus, constraints, initialQueries, fieldContext, and keyTerms directly without manual formatting.

What is included in the ResearchBrief output for early research planning?▼

The ResearchBrief output for early research planning includes parsed domain and focus areas, specific constraints, initial queries, field context, key terms, and a generated initial landscape of terminology and venues.

Does the intake process require predefined topics or can it handle raw free-text?▼

The intake process handles raw free-text directly, parsing unstructured research topics into structured components and generating a research brief without requiring predefined formats or manual pre-processing.

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