competitive-intelligence

name	competitive-intelligence
description	Build structured competitive intelligence dashboards by scraping company websites, press releases, job postings, and news to extract product features, pricing signals, hiring trends, and strategic moves. Use when asked to "competitive analysis", "competitor research", "market landscape", "compare competitors", "competitive dashboard", "track competitor activity", "competitive briefing", or any competitive intelligence task.
license	MIT
metadata	{"version":"1.0.0","tags":["strategy"]}

Competitive Intelligence Dashboard

When to Use This Skill

Use this Skill when the user asks to:

• Research or analyse competitors
• Build a competitive comparison matrix
• Track competitor product launches, pricing, or hiring
• Produce a competitive briefing or market landscape
• Identify competitive threats or opportunities
• Monitor industry trends and competitor positioning

Workflow

Competitive Intelligence Progress:

• Step 1: Define competitive scope
• Step 2: Gather intelligence from web sources
• Step 3: Extract structured signals
• Step 4: Build comparison matrix
• Step 5: Identify strategic moves and trends
• Step 6: Produce competitive briefing
• Step 7: Persist output

Step 1: Define competitive scope

Clarify:

• Target company — The user's company or product
• Competitors — Named competitors, or discover via market research
• Dimensions — Product features, pricing, market segments, technology, hiring, partnerships
• Time horizon — Current snapshot or trend over time

Step 2: Gather intelligence from web sources

For each competitor, scrape: Company website → Tool: browse_web({ url: "" }) Product/pricing → Tool: browse_web({ url: "" }) Press releases → Tool: browse_web({ url: "" }) Job postings → Tool: browse_web({ url: "" }) News coverage → Tool: browse_web({ url: "https://news.google.com/search?q=" })

For each scraped page, extract structured data.

Step 3: Extract structured signals

From scraped content, extract:

Signal Category	What to Extract
Product	Features, capabilities, integrations, platforms, recent launches
Pricing	Pricing model (per-seat, usage, tier), price points, free tier, enterprise
Technology	Tech stack indicators (job postings), cloud providers, AI/ML capabilities
Hiring	Open roles by department, growth signals, geographic expansion
Partnerships	Announced partnerships, integrations, channel relationships
Funding/M&A	Recent funding rounds, acquisitions, investor signals
Market position	Target segments, messaging, value propositions, customer logos
Sentiment	News tone, analyst mentions, customer review trends

Step 4: Build comparison matrix

Feature Comparison

Feature / Capability	Target	Competitor A	Competitor B	Competitor C

Pricing Comparison

Dimension	Target	Competitor A	Competitor B	Competitor C
Model
Entry price
Enterprise price
Free tier

Technology Comparison

Dimension	Target	Competitor A	Competitor B	Competitor C

Step 5: Identify strategic moves and trends

Analyse extracted signals for:

• New market entries — Competitors targeting new segments or geographies
• Product pivots — Significant feature additions or direction changes
• Hiring surges — Departments growing fast (signals investment areas)
• Partnership patterns — Ecosystem strategy and alliance formation
• Pricing moves — Price increases, new tiers, free-to-paid conversions
• Acquisition signals — Acqui-hires, tuck-ins, strategic acquisitions

Step 6: Produce competitive briefing

Market Landscape Summary

• Total addressable market signals
• Key players and positioning map
• Market trends and dynamics

Competitor Profiles

For each competitor:

Field	Value
Company
Positioning
Key strengths
Key weaknesses
Recent moves
Threat level	Low / Medium / High

Competitive Matrix

[Tables from Step 4]

Strategic Signals

Signal	Competitor	Implication	Urgency

Opportunities & Threats

Type	Description	Evidence	Recommended Action

Narrative Briefing

3-5 paragraph executive summary of the competitive landscape.

Step 7: Persist output

Tool: local_files({ path: "~/contelligence-output/competitive//.md", content: })

Constraints

• Only use publicly available information — do not attempt to access private or gated content.
• Clearly label the date of each data point — competitive intelligence ages quickly.
• Distinguish between confirmed facts and inferred signals.
• When pricing is not publicly available, note "pricing not disclosed" rather than guessing.