competitive-intelligence

Generate competitive landscape reports tracking product, pricing, and positioning changes across web sources.

12|2|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/jikig-ai/soleur --skill competitive-intelligence-jikig-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-intelligence
Source: https://github.com/jikig-ai/soleur/tree/main/.openhands/skills/competitive-intelligence
Command: npx skills add https://github.com/jikig-ai/soleur --skill competitive-intelligence-jikig-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates recurring competitive landscape monitoring and market research so teams can detect product, pricing, and positioning changes without manual one-off investigations, enabling faster strategic decisions and reduced blindspots.

Core Features & Use Cases

  • Automated Web Research: Runs web searches and fetches competitor marketing sites to capture recent news, product updates, and pricing changes.
  • Context-aware Analysis: Loads positioning and existing landscape context from brand-guide.md and business-validation.md to compare claims and identify convergence risk.
  • Structured Reporting & Persistence: Produces a YAML-frontmatter-backed overlap-matrix report written to knowledge-base/product/competitive-intelligence.md and falls back to an exported code-block report when file writes are not permitted.
  • Cascade Delegation: Spawns up to four specialist agents (growth-strategist, pricing-strategist, deal-architect, programmatic-seo-specialist) to refresh downstream artifacts in parallel, with strict delegation instructions and a summarized Cascade Results section.
  • Use Case: Run a monthly scan to detect pricing movements and feature parity, update the overlap matrix, and trigger updates to pricing strategy, battlecards, content strategy, and SEO refresh queues.

Quick Start

Ask the competitive-intelligence agent to scan a specified competitor list, write the report to knowledge-base/product/competitive-intelligence.md, and trigger the downstream cascade.

Frequently Asked Questions about competitive-intelligence

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

FAQPage Schema
How do I automate competitor monitoring and track pricing changes across marketing sites?

Automated competitor monitoring runs recurring web searches and site fetches to capture competitor news, product updates, and pricing shifts. It generates structured reports identifying competitive landscape changes without requiring manual one-off investigations.

What is an overlap matrix and how does it help with competitive intelligence?

An overlap matrix is a structured report comparing product, pricing, and positioning changes across competitors. It identifies convergence risk by comparing web research against existing brand context to highlight where competitors match your offerings.

How do I trigger downstream updates to pricing strategy and battlecards after a market research scan?

After completing market research, trigger cascade delegation to spawn up to four specialist agents. These agents refresh pricing strategy, battlecards, content strategy, and SEO queues in parallel, returning summarized cascade results.

Do I need brand and business validation documents to run a competitive landscape analysis?

Yes, competitive landscape analysis loads brand-guide.md and business-validation.md as pre-research context. These documents provide positioning and existing landscape context to compare claims and identify convergence risk accurately.

Can I generate competitive intelligence reports if my environment blocks file writes?

Yes, if file writes are not permitted, the competitive intelligence report falls back to an exported code-block format. This ensures you still receive the structured overlap-matrix data even without write access to knowledge-base directories.

What is the best way to monitor feature parity and new market entrants on a recurring schedule?

The best way to monitor feature parity and new market entrants is running a recurring monthly scan. This detects pricing movements and feature updates across competitor sites, writes an overlap matrix, and triggers downstream strategy refreshes.