composite

Name: composite
Availability: InStock
Author: Umbral-Bot

Orchestrate multi-step web research and generate structured markdown reports.

Updated Feb 26, 2026

Search Tags:#automation #research #llm #reporting #web scraping #synthesis

Ready to run

npx skills add https://github.com/Umbral-Bot/umbral-agent-stack --skill composite

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: composite
Source: https://github.com/Umbral-Bot/umbral-agent-stack/tree/main/openclaw/workspace-templates/skills/composite
Command: npx skills add https://github.com/Umbral-Bot/umbral-agent-stack --skill composite

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of researching a given topic and generating a comprehensive report, saving users significant time and effort in information gathering and synthesis.

Core Features & Use Cases

Automated Query Generation: Intelligently creates search queries based on the input topic.
Web Research Orchestration: Executes multiple web searches to gather relevant information.
LLM-Powered Synthesis: Consolidates and summarizes research findings into a structured markdown report.
Use Case: When a user needs an in-depth analysis of a market trend or a specific subject, this skill can be invoked to produce a detailed report with executive summaries, key findings, and recommendations.

Quick Start

Use the composite skill to research and report on the topic of 'sustainable urban planning'.

Frequently Asked Questions about composite

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

FAQPage Schema

How do I automate research and report generation for complex topics?▼

To automate research and report generation, this Skill orchestrates multi-step web searches and uses LLM synthesis to consolidate findings into a structured markdown report. It automatically generates search queries based on your input topic and gathers relevant information.

What is LLM-powered synthesis for web research?▼

LLM-powered synthesis for web research is the process of using large language models to consolidate and summarize gathered search results into a structured document. This Skill applies it to generate detailed markdown reports with executive summaries and key findings.

Can I customize search depth and language output for automated web scraping reports?▼

Yes, you can customize both search depth and language output for automated web scraping reports. This allows you to control the breadth of web research orchestration and the language of the final synthesized markdown document.

Does automated query generation work for market trend analysis?▼

Automated query generation works effectively for market trend analysis by intelligently creating targeted search queries from your input topic. It executes multiple web searches to gather relevant information and synthesizes an in-depth report with recommendations.

What's the best way to structure markdown reports from synthesized web research?▼

The best way to structure markdown reports from synthesized web research is to use LLM capabilities to consolidate findings into sections like executive summaries, key findings, and recommendations. This automated approach saves significant time in information gathering.