cos-research

Gathers web signals to update competitor entities and generate a weekly market research digest.

Updated Jun 5, 2026

Search Tags:#research #data analysis #market trends #competitor analysis #watchlist

Ready to run

npx skills add https://github.com/fontesgerards/chief-of-staff --skill cos-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cos-research
Source: https://github.com/fontesgerards/chief-of-staff/tree/main/engine/skills/cos-research
Command: npx skills add https://github.com/fontesgerards/chief-of-staff --skill cos-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive weekly digest on competitors, technology, and market trends, ensuring you stay informed about the latest developments in your industry.

Core Features & Use Cases

Competitor & Technology Research: Gathers signals on your watch list, updates competitor entities with sourced facts.
Market Trends: Provides insights into market dynamics and emerging trends.
Use Case: Use the Skill to stay ahead of the curve in your industry by receiving a weekly digest of the latest developments.

Quick Start

Load the 'cos-research' skill and review the weekly research digest.

Frequently Asked Questions about cos-research

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

FAQPage Schema

How do I automate weekly competitor analysis and market trend research?▼

Weekly competitor analysis is automated by defining a watch list, gathering web signals, and extracting sourced facts to update competitor entities. This generates a digest of market trends and technology developments without manual searching.

What is the best way to track a watchlist of competitors for market trends?▼

Tracking a competitor watchlist is handled through semantic processing that gathers signals on user-defined entities and updates them with sourced facts. This delivers a structured weekly digest of competitor and market trend movements.

How does semantic processing work for updating competitor research data?▼

Semantic processing works by extracting data from web searches, processing the gathered signals, and updating a semantic database with sourced facts. This ensures competitor entities reflect the latest market and technology trends.

Can I use data extraction to gather market trends for specific technology competitors?▼

Data extraction can gather market trends for specific technology competitors by targeting your defined watchlist. The skill utilizes web search and semantic processing to source facts and present insights on emerging industry dynamics.

Do I need a predefined watch list to generate a competitor and market research digest?▼

A predefined watch list is required to generate a competitor and market research digest. The skill gathers signals specifically on your user-defined watch list to update competitor entities and present relevant market trend insights.

What are the limitations of using automated research for competitor analysis?▼

Automated research for competitor analysis relies on web search and data extraction, meaning it is limited by publicly available signals. It updates a semantic database with sourced facts but may miss proprietary industry trends not present online.