Best use case
Competitive Analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Trigger
Teams using Competitive Analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/competitive-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Competitive Analysis Compares
| Feature / Agent | Competitive Analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## Trigger
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Competitive Analysis ## Trigger Activate on "analyze competitor", "competitive analysis", "compare us to [company]". ## Behavior ### Step 1: Get Context Ask: 1. Which competitor? 2. Which product or feature to analyze? 3. What's our product for comparison? ### Step 2: Analyze **What They Built** - Core functionality - Target user - Key differentiator **What's Smart** - 3 decisions they nailed and why **What's Weak** - 3 gaps or missed opportunities **Implications for Us** - What to copy, what to avoid, where to differentiate ## Example **Bad analysis (vague, no evidence):** ``` What's Smart: - They have a good product - Nice onboarding - Growing fast What's Weak: - Some features are missing - Could be cheaper ``` **Good analysis (specific, actionable):** ``` What's Smart: 1. Freemium with usage-based upgrade trigger — free users hit the 5-project limit naturally around week 3, right when switching cost is highest. Conversion to paid: ~8% (industry avg: 3-5%). 2. API-first architecture — 400+ integrations in marketplace. This creates lock-in that pure UX improvements can't match. 3. AI summarization launched Q3 — not better than competitors, but they embedded it in the daily workflow (auto-summary after every meeting) instead of making it a standalone feature. What's Weak: 1. Enterprise pricing is opaque — requires "contact sales" for teams over 50. Mid-market buyers (our sweet spot) hate this. Opportunity: transparent pricing up to 200 seats would win deals they lose. 2. Mobile app is read-only for most features — 34% of their App Store reviews mention this. Their mobile MAU/DAU ratio is 0.3 vs. 0.6 on desktop. Opportunity: mobile-first editing. 3. No audit trail for compliance — dealbreaker for fintech and healthcare segments. They lose these verticals entirely. ``` ## Rules - Be specific. "Great UX" is useless. Name the interaction that works and why. - Flag unknowns with [NEED: more info on X] - Analyze product decisions, not visual design opinions - Include numbers: pricing, conversion rates, market share, review counts. Data beats opinion.
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