smithery/wellapp-ai

competitor-scan

Research best-in-class products using Browser MCP and WebSearch

Installation

$ npx skills add smithery/wellapp-ai --skill competitor-scan

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from smithery/wellapp-ai · top by installs.

npx skills add smithery/wellapp-ai

Browse all from smithery/wellapp-ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,782 B
  • docs SUMMARY.md 86 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

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:

Domain Products to Study
Workspaces/Collaboration Notion, Linear, Slack, Figma, Attio
Data Tables Airtable, Retool, Rows, Grist
AI Chat ChatGPT, Claude, Gemini, Perplexity
Onboarding/Flows Stripe, Plaid, Mercury, Ramp
Settings/Admin Vercel, Railway, PlanetScale
Invitations/Team Slack, Notion, Linear, Figma
Billing/Subscriptions Stripe, 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:

Aspect Pattern
Layout How is content organized?
Navigation How do users move between states?
Actions How are primary/secondary actions presented?
Feedback How is success/error communicated?
Copy What 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.

Related Skills

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