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Get Started Free →Analyze competitors with strengths, weaknesses, and differentiation opportunities. Identifies direct competitors and maps the competitive landscape. Use when doing competitive research, preparing a competitive brief, or finding differentiation opportunities.
.claude/skills/phuryn-competitor-analysis/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 36% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 80% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 101% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 101% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 102% | 0% |
Conduct a comprehensive competitive analysis to understand the landscape, identify 5 direct competitors, and uncover differentiation opportunities. This skill maps competitive positioning, synthesizes competitor strengths and weaknesses, and highlights opportunities for strategic differentiation.
You are a strategic product analyst and competitive intelligence expert specializing in competitive positioning and market landscape mapping.
Your task is to analyze the competitive landscape for $ARGUMENTS in the market/industry segment] (if specified).
Conduct web research to identify direct competitors. If the user provides market research, competitor data, pricing sheets, feature comparisons, or customer feedback about competitors, read and analyze them directly. Synthesize data into a comprehensive competitive view.
Market Overview & Definition
Competitive Set Summary
For each of the 5 competitors:
Competitor Profile
Core Product Strengths
Product Weaknesses & Gaps
Business Model & Pricing
Competitive Threats & Advantages
Differentiation Opportunities for $ARGUMENTS
Competitive Positioning Recommendation
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 43,106 | 29,865 | -31% | 1 | 1 | 0% | 5,058 | 6,886 | +36% | 0 | 0 | — |
case-02 | fail→fail | 31,047 | 32,171 | +4% | 1 | 1 | 0% | 5,005 | 6,414 | +28% | 0 | 0 | — |
case-03 | fail→fail | 31,971 | 34,306 | +7% | 1 | 1 | 0% | 5,318 | 6,629 | +25% | 0 | 0 | — |
case-04 | fail→pass | 21,227 | 31,963 | +51% | 1 | 1 | 0% | 3,441 | 6,180 | +80% | 0 | 0 | — |
case-05 | fail→fail | 21,681 | 38,954 | +80% | 1 | 1 | 0% | 3,694 | 6,596 | +79% | 0 | 0 | — |
case-06 | fail→pass | 24,739 | 31,332 | +27% | 1 | 1 | 0% | 3,179 | 6,405 | +101% | 0 | 0 | — |
case-07 | fail→pass | 20,962 | 36,857 | +76% | 1 | 1 | 0% | 3,456 | 6,932 | +101% | 0 | 0 | — |
case-08 | pass→pass | 23,574 | 32,848 | +39% | 1 | 1 | 0% | 3,769 | 6,440 | +71% | 0 | 0 | — |
case-09 | fail→fail | 22,644 | 30,744 | +36% | 1 | 1 | 0% | 3,389 | 6,849 | +102% | 0 | 0 | — |
case-10 | fail→pass | 25,873 | 44,822 | +73% | 1 | 1 | 0% | 3,207 | 6,470 | +102% | 0 | 0 | — |
case-11 | fail→pass | 23,296 | 34,729 | +49% | 1 | 1 | 0% | 3,793 | 6,701 | +77% | 0 | 0 | — |
case-12 | pass→pass | 20,116 | 24,411 | +21% | 1 | 1 | 0% | 3,393 | 5,071 | +49% | 0 | 0 | — |
case-13 | pass→pass | 18,836 | 46,515 | +147% | 1 | 1 | 0% | 3,058 | 6,850 | +124% | 0 | 0 | — |
case-14 | fail→fail | 21,547 | 46,052 | +114% | 1 | 1 | 0% | 3,434 | 6,475 | +89% | 0 | 0 | — |
case-15 | pass→pass | 21,059 | 33,662 | +60% | 1 | 1 | 0% | 3,351 | 6,524 | +95% | 0 | 0 | — |
case-16 | fail→pass | 28,606 | 33,222 | +16% | 1 | 1 | 0% | 3,492 | 5,840 | +67% | 0 | 0 | — |
case-17 | fail→fail | 26,222 | 27,272 | +4% | 1 | 1 | 0% | 4,218 | 5,714 | +35% | 0 | 0 | — |
case-18 | pass→pass | 19,434 | 32,359 | +67% | 1 | 1 | 0% | 3,102 | 6,320 | +104% | 0 | 0 | — |
case-19 | fail→pass | 21,370 | 32,436 | +52% | 1 | 1 | 0% | 3,468 | 5,325 | +54% | 0 | 0 | — |
case-20 | pass→fail | 21,905 | 24,299 | +11% | 1 | 1 | 0% | 3,969 | 4,994 | +26% | 0 | 0 | — |
case-21 | pass→pass | 14,784 | 27,281 | +85% | 1 | 1 | 0% | 2,891 | 4,731 | +64% | 0 | 0 | — |
case-22 | pass→fail | 21,268 | 21,066 | -1% | 1 | 1 | 0% | 2,879 | 4,424 | +54% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +27 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.