skills.rest
nurturev
nurturevOFFICIAL
Explore all skills by this author →
GitHub

research

Research entities in batch or on-demand modes to produce standardized enrichment signals.

Updated Mar 17, 2026
Search Tags:#research#on-demand#enrichment#batch-processing#due-diligence#multi-signal#entity-intelligence
One-click install
npx skills add https://github.com/nurturev/gtm-engine --skill research-nurturev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/nurturev/gtm-engine/tree/main/.claude/skills/research
Command: npx skills add https://github.com/nurturev/gtm-engine --skill research-nurturev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gather multi-dimensional intelligence about entities (hiring signals, tech stack, posts, M&A, funding) to provide depth beyond basic enrichment. Use when an entity list exists and the user needs richer context to drive decisions beyond simple enrichment.

Core Features & Use Cases

  • Batch mode processes lists through parallel research swimlanes to generate signals for many entities.
  • On-demand mode triggers research for a single entity via Slack/webhook, scores the fit, and returns actionable insights.
  • Produces standardized signals per entity: event summaries, URLs, dates, and categories to feed downstream workflows (qualification, content, outreach).

Quick Start

Research a specified entity to return structured enrichment signals for decision-making.

Frequently Asked Questions about research

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

FAQPage Schema
How do I gather multi-signal entity intelligence for due-diligence workflows?▼

You gather multi-signal entity intelligence by producing enriched entity profiles with structured signals like event summaries, dates, and categories to drive due-diligence decisions.

Can I research a single entity on-demand through Slack or a webhook?▼

Yes, on-demand mode triggers research for a single entity through Slack or webhook, scores the fit, and returns actionable insights for immediate qualification workflows.

What is the best way to process an entity list for batch enrichment signals?▼

Batch mode processes entity lists through parallel research swimlanes, utilizing modular platform and web research pathways to generate standardized signals for many entities simultaneously.

Does this entity research tool work for hiring signals and tech stack discovery?▼

Yes, entity research produces standardized signals covering hiring signals, tech stack, posts, M&A, and funding, providing depth beyond basic enrichment for outreach decisions.

When do I need multi-dimensional entity enrichment instead of basic enrichment?▼

You need multi-dimensional entity enrichment when an entity list exists and you require richer context, such as event summaries and categories, to drive decisions beyond simple enrichment.

Related Skills

Explore More Education & Research Skills→
sgcarstrendssgcarstrends
21

social-media

Implement social media posting integrations across Discord, LinkedIn, Telegram, and Twitter.

Official
Advanced
labs21-devlabs21-dev
28

account-research

Research and summarize company or person profiles using web search.

Official
Intermediate
nurturevnurturev

qualification

Evaluate entities against qualification criteria and output labels or scores.

Official
Advanced
Casper-StudiosCasper-Studios
11

parallel-research

Automate web research, competitive analysis, and data enrichment via Parallel AI APIs.

Official
Advanced