skills.rest
danielgap
danielgapCOMMUNITY
Explore all skills by this author →
Website𝕏@soydanielgapGitHub

data-extractor

Orchestrate web research tasks across Extractor and Scout agents into structured JSON outputs.

4|Updated Apr 9, 2026
Search Tags:#orchestration#extractor#prompts#web-research#data-extraction#osint#scout
One-click install
npx skills add https://github.com/danielgap/openclaw-planitor --skill data-extractor-danielgap
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-extractor
Source: https://github.com/danielgap/openclaw-planitor/tree/main/skills/data-extractor
Command: npx skills add https://github.com/danielgap/openclaw-planitor --skill data-extractor-danielgap

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill coordinates delegated research tasks to fast Extractor and deep Scout agents, organizing prompts by pipeline phase and referencing the complete web-research tool arsenal.

Core Features & Use Cases

  • Prompt orchestration: Predefined prompts per phase that assign tasks to Extractor and Scout.
  • Structured outputs: Returns JSON artifacts with sources and confidence per phase.
  • Scalability: Flexible to handle multiple research targets and phasing (Ground Truth, Market Analysis, Financials).

Quick Start

Invoke Extractor for quick data points and Scout for deep dives using phase-aligned prompts and aggregate results into a structured JSON.

Frequently Asked Questions about data-extractor

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

FAQPage Schema
How do I orchestrate web research tasks to get structured data with sources?▼

You can orchestrate web research by delegating prompts to fast Extractor agents for quick data points and deep Scout agents for comprehensive dives. This coordinates delegated research tasks to produce structured JSON outputs with sources and confidence metrics for validation.

What is the best way to organize research prompts across different analysis phases?▼

Organizing research prompts by pipeline phase ensures structured outputs across Ground Truth, Market Analysis, and Financials. This approach assigns phase-aligned tasks to Extractor and Scout, aggregating results into a structured JSON artifact with sources for validation.

Can I use this approach for both quick data extraction and deep OSINT investigations?▼

Yes, this approach handles both quick data extraction and deep OSINT investigations. You invoke Extractor for rapid data points and Scout for deep dives, allowing flexible scaling across multiple research targets and phasing to produce structured outputs.

Do I need a specific web-research tool arsenal to extract market analysis data?▼

Yes, extracting market analysis data requires access to a complete web-research tool arsenal. You must adhere to a defined session workflow that delegates prompts to Extractor and Scout agents to generate structured JSON artifacts with confidence scores.

What are the limitations of using predefined prompts for web research orchestration?▼

Predefined prompts for web research orchestration are bound to specific pipeline phases like Ground Truth and Financials. Outputs depend on the defined session workflow and access to the web-research arsenal, limiting ad-hoc queries outside the structured phase alignment.

Related Skills

Explore More Data & Analytics Skills→
HaoxuanLiTHUAIHaoxuanLiTHUAI
34

Parameter Recovery Checker

Run parameter recovery studies to assess identifiability of computational cognitive models.

Community
Advanced
letta-ailetta-ai
134

nginx-configuration

Configure Nginx logging, rate limiting, and custom error pages.

Official
Advanced
MCERQUAMCERQUA
1

browser-data-processor

Convert raw website scrape data into structured JSON records.

Community
Advanced
adrianliechtiadrianliechti
4

account-research

Research companies or people via web search and output structured sales briefs.

Community
Intermediate