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WellApp-ai

competitor-scan

by WellApp-ai

No more Sundays on Finance. We build the infrastructure that retrieves, processes, and routes your financial and business data to your FinOps stack, so founders can ship, not spreadsheet.

305🍴 43📅 Jan 23, 2026

SKILL.md


name: competitor-scan description: Research best-in-class products using Browser MCP and WebSearch

Competitor Scan Skill

Research how best-in-class products solve similar problems using Browser MCP for screenshots and WebSearch for teardowns.

When to Use

  • At the start of DIVERGE Loop (L1)
  • When exploring new UI patterns
  • When benchmarking against industry standards

Instructions

Phase 1: Identify Competitors

Use the domain competitor table:

DomainProducts to Study
Workspaces/CollaborationNotion, Linear, Slack, Figma, Attio
Data TablesAirtable, Retool, Rows, Grist
AI ChatChatGPT, Claude, Gemini, Perplexity
Onboarding/FlowsStripe, Plaid, Mercury, Ramp
Settings/AdminVercel, Railway, PlanetScale
Invitations/TeamSlack, Notion, Linear, Figma
Billing/SubscriptionsStripe, Paddle, Chargebee

Phase 2: Screenshot Key Flows (Browser MCP)

For each relevant competitor:

1. browser_navigate to the product URL or relevant page
2. browser_snapshot to understand the page structure
3. browser_take_screenshot to capture the UI
4. browser_click / browser_type to navigate through flows

Capture:

  • Entry points (how users start the flow)
  • Key screens (main interactions)
  • Edge cases (empty states, errors)
  • Micro-interactions (hover states, transitions)

Phase 3: Research Teardowns (WebSearch)

Search for existing analysis:

WebSearch "[Product] UI teardown [feature]"
WebSearch "[Product] UX case study [feature]"
WebSearch "[Feature] best practices design patterns"

Phase 4: Extract Patterns

For each competitor, note:

AspectPattern
LayoutHow is content organized?
NavigationHow do users move between states?
ActionsHow are primary/secondary actions presented?
FeedbackHow is success/error communicated?
CopyWhat language/tone is used?

Output Format

After running this skill, output:

## Competitor Scan

### Products Analyzed
1. [Product A] - [URL or feature]
2. [Product B] - [URL or feature]
3. [Product C] - [URL or feature]

### Key Patterns Observed

| Pattern | Product | Description |
|---------|---------|-------------|
| [Pattern] | [Product] | [How they do it] |

### Insights for Our Design
- [Insight 1]: [How to apply]
- [Insight 2]: [How to apply]

### Screenshots Captured
- [Description of screenshot 1]
- [Description of screenshot 2]

Invocation

Invoke manually with "use competitor-scan skill" or follow Ask mode DIVERGE loop which references this skill's phases.

  • problem-framing - Define what problem to research
  • design-context - Compare external patterns with internal

Score

Total Score

80/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

+5
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

+5
Issue管理

オープンIssueが50未満

0/5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

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Reviews coming soon