---
name: competitive-intelligence-319c7b1d3f3b
description: Deep competitive analysis and market monitoring capabilities for product strategy
allowed-tools:
  - WebSearch
  - WebFetch
  - Read
  - Write
  - Glob
  - Grep
  - Bash
graph:
  domains: [domain:software-engineering]
  specializations: [specialization:product-management]
  skillAreas: [skill-area:competitive-intelligence, skill-area:market-research]
  roles: [role:product-manager, role:product-analyst]
  workflows: [workflow:product-discovery, workflow:competitive-analysis]
---

# Competitive Intelligence Skill

## Overview

Specialized skill for deep competitive analysis and market monitoring capabilities. Enables product teams to maintain awareness of competitor activities, identify market opportunities, and inform strategic decisions.

## Capabilities

### Core Analysis Functions
- Analyze competitor websites, pricing, and positioning
- Track competitor feature releases and announcements
- Generate feature comparison matrices
- Monitor competitor reviews and ratings
- Extract competitor strengths and weaknesses
- Identify market gaps and white space opportunities
- Track industry analyst reports and mentions

### Research Methods
- Competitive website analysis and scraping
- Pricing structure comparison
- Feature parity assessment
- Market positioning analysis
- SWOT compilation for competitors
- Industry trend monitoring

### Output Artifacts
- Competitive landscape reports
- Feature comparison matrices
- Pricing comparison tables
- Market positioning maps
- Competitive battlecards
- White space opportunity reports
- Industry trend summaries

## Target Processes

This skill integrates with the following processes:
- `competitive-analysis.js` - Primary integration for full competitive analysis workflows
- `product-vision-strategy.js` - Strategic positioning and differentiation
- `product-launch-gtm.js` - Competitive positioning for launches
- `quarterly-roadmap.js` - Market opportunity identification

## Input Schema

```json
{
  "type": "object",
  "properties": {
    "competitors": {
      "type": "array",
      "items": { "type": "string" },
      "description": "List of competitor names or domains to analyze"
    },
    "analysisScope": {
      "type": "string",
      "enum": ["pricing", "features", "positioning", "full"],
      "description": "Scope of competitive analysis"
    },
    "industryContext": {
      "type": "string",
      "description": "Industry or market context for analysis"
    },
    "focusAreas": {
      "type": "array",
      "items": { "type": "string" },
      "description": "Specific areas to focus analysis on"
    }
  },
  "required": ["competitors", "analysisScope"]
}
```

## Output Schema

```json
{
  "type": "object",
  "properties": {
    "competitorProfiles": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": { "type": "string" },
          "positioning": { "type": "string" },
          "strengths": { "type": "array", "items": { "type": "string" } },
          "weaknesses": { "type": "array", "items": { "type": "string" } },
          "pricing": { "type": "object" },
          "features": { "type": "array", "items": { "type": "string" } }
        }
      }
    },
    "featureMatrix": {
      "type": "object",
      "description": "Feature comparison matrix across competitors"
    },
    "marketGaps": {
      "type": "array",
      "items": { "type": "string" },
      "description": "Identified market opportunities and white spaces"
    },
    "recommendations": {
      "type": "array",
      "items": { "type": "string" },
      "description": "Strategic recommendations based on analysis"
    }
  }
}
```

## Usage Example

```javascript
const competitiveAnalysis = await executeSkill('competitive-intel', {
  competitors: ['CompetitorA', 'CompetitorB', 'CompetitorC'],
  analysisScope: 'full',
  industryContext: 'B2B SaaS project management',
  focusAreas: ['pricing', 'collaboration features', 'integrations']
});
```

## Dependencies

- Web scraping capabilities
- News monitoring APIs
- Industry data sources


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Marketing, Product Management, Sales
Roles: Business Development, Growth Marketer, Market Research Analyst, Marketing Analyst, Product Manager
Specialties: Specialty not specified
Tools: Bash, Glob, Grep, Read, Webfetch, Websearch, Write
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 18da70373f303ead190b10f07d69821ab092f203b157388f9c295287f850d8b7