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competitive-intelligence Skill

AI Agent SkillOpen source

Analyzes opportunity data and activity notes to generate competitive intelligence including win/loss rates by competitor, patterns, and rep-ready battlecard talking points. Use when user asks "how are we doing against [competitor]", "competitive analysis", "competitor win rate", "battlecard for [competitor]", "competit Published by microsoft in dataverse-business-skills.

What is competitive-intelligence Skill?

Analyzes opportunity data and activity notes to generate competitive intelligence including win/loss rates by competitor, patterns, and rep-ready battlecard talking points. Use when user asks "how are we doing against [competitor]", "competitive analysis", "competitor win rate", "battlecard for [competitor]", "competit Published by microsoft in dataverse-business-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
39/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Research
  • Data analysis use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use competitive-intelligence Skill

  • Use it for data analysis.
  • Use it for research.

Built with

Copy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/dataverse-business-skills
  • Skill file: skills/competitive-intelligence/SKILL.md

What it does

Analyzes opportunity data and activity notes to generate competitive intelligence including win/loss rates by competitor, patterns, and rep-ready battlecard talking points. Use when user asks "how are we doing against [competitor]", "competitive analysis", "competitor win rate", "battlecard for [competitor]", "competit

Skill instructions

Competitive Intelligence Competitive insights are often locked in deal notes, lost opportunity records, and anecdotal rep knowledge. This skill mines Dataverse to surface structured competitive intelligence: which competitors appear most frequently, where deals are being lost to them, what deal patterns correlate with wins vs losses, and what talking points reps should use. This is the Dataverse-internal equivalent of competitive research — drawing from closed deal history rather than external sources. Instructions Step 1: Identify Competitor or Analysis Scope Accept input from the user: - Specific competitor name (to analyze one rival) - All competitors (for a full competitive landscape view) - Time range (default: last 12 months) - Segment filter (by owner, territory, deal size, or industry) Calculate date range for analysis: createdon = '[startdate]' Step 2: Identify Lost Deals with Competitor Information Important: The opportunity entity does not have a direct competitorid field —

Explore related resources

Frequently asked questions

What is competitive-intelligence?

competitive-intelligence is a open-source AI agent skill with Copy skill directory. Analyzes opportunity data and activity notes to generate competitive intelligence including win/loss rates by competitor, patterns, and rep-ready battlecard talking points.

Who is competitive-intelligence best for?

competitive-intelligence is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.

How do I install competitive-intelligence?

Install or run competitive-intelligence using Copy skill directory. Check competitive-intelligence for the latest setup command.

Is competitive-intelligence actively maintained?

competitive-intelligence may need a closer maintenance check before production use.

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Stars
37
Forks
8
Last commit
4 months ago
Repository age
5 months
License
MIT

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