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Get Started Free →Analyze competitors and create competitive landscape documentation with feature matrices, positioning maps, and strategic recommendations. Use when asked to analyze competitors, create competitive analysis, compare features with competitors, build a competitive landscape, track competitive positioning, or prepare sales battlecard inputs. Produces structured competitor profiles, feature comparison matrix, win/loss analysis, and prioritised strategic recommendations. For a one-off teardown of a si
.claude/skills/mohitagw15856-competitive-analysis/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 67% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 74% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 95% | 0% |
Crea análisis competitivos estructurados para la toma de decisiones de producto.
Si existe un professional-brain (brain/), úsalo como base en lugar de volver a preguntar lo que ya sabes:
knowledge/ (mercado + posicionamiento) y entities/ de competidores. Ejecuta python3 ../professional-brain/scripts/brain_query.py ./brain "<competidor o mercado>" y lleva la etiqueta de procedencia de cada dato — una afirmación sobre un competidor de un comunicado de prensa es [external], no [data].knowledge/ ([external]) y crear/actualizar entities/ de competidores. Muéstralos, obtén confirmación y escribe con ../professional-brain/scripts/brain_write.py … --commit (append-only, dry-run por defecto).Pide al usuario estos datos si no se proporcionan:
Para cada competidor:
| Característica | Nosotros | Competidor A | Competidor B | Competidor C | |---------|-----|--------------|--------------|--------------| | Característica] | ✅ Completo | ⚠️ Limitado | ❌ Ninguno | ✅ Completo |
Leyenda: ✅ Completo (listo para producción) · ⚠️ Limitado/Beta · ❌ Ninguno
Incluye notas sobre diferencias de calidad e implementación donde sean significativas.
| Plan | Nosotros | Competidor A | Competidor B | |------|-----|--------------|--------------| | Gratuito/Prueba | precio] | precio] | precio] | | Pro | precio] | precio] | precio] | | Enterprise | precio] | precio] | precio] |
Posiciona competidores en dos dimensiones clave relevantes para el mercado:
Oportunidades de Espacio en Blanco: Segmentos desatendidos]
Por qué Ganamos:
Por qué Perdemos:
Acciones Inmediatas (0-3 meses):
Mediano Plazo (3-12 meses):
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 21,344 | 32,219 | +51% | 1 | 1 | 0% | 4,186 | 7,058 | +69% | 0 | 0 | — |
case-02 | fail→fail | 22,772 | 21,557 | -5% | 1 | 1 | 0% | 4,099 | 5,163 | +26% | 0 | 0 | — |
case-03 | fail→pass | 24,285 | 32,311 | +33% | 1 | 1 | 0% | 4,236 | 7,075 | +67% | 0 | 0 | — |
case-04 | fail→pass | 12,118 | 16,148 | +33% | 1 | 1 | 0% | 2,310 | 4,024 | +74% | 0 | 0 | — |
case-05 | fail→pass | 16,477 | 15,409 | -6% | 1 | 1 | 0% | 2,970 | 3,796 | +28% | 0 | 0 | — |
case-06 | fail→fail | 15,145 | 25,908 | +71% | 1 | 1 | 0% | 2,740 | 5,307 | +94% | 0 | 0 | — |
case-07 | fail→pass | 12,538 | 8,235 | -34% | 1 | 1 | 0% | 2,134 | 2,866 | +34% | 0 | 0 | — |
case-08 | fail→fail | 17,529 | 22,053 | +26% | 1 | 1 | 0% | 2,915 | 4,962 | +70% | 0 | 0 | — |
case-09 | fail→pass | 16,357 | 21,354 | +31% | 1 | 1 | 0% | 2,585 | 5,033 | +95% | 0 | 0 | — |
case-10 | fail→fail | 14,226 | 14,912 | +5% | 1 | 1 | 0% | 2,445 | 3,652 | +49% | 0 | 0 | — |
case-11 | fail→pass | 11,600 | 17,607 | +52% | 1 | 1 | 0% | 2,237 | 4,440 | +98% | 0 | 0 | — |
case-12 | pass→pass | 16,871 | 20,542 | +22% | 1 | 1 | 0% | 2,722 | 4,962 | +82% | 0 | 0 | — |
case-13 | pass→pass | 6,869 | 3,071 | -55% | 1 | 1 | 0% | 1,286 | 1,761 | +37% | 0 | 0 | — |
case-14 | pass→fail | 13,789 | 8,587 | -38% | 1 | 1 | 0% | 2,360 | 2,637 | +12% | 0 | 0 | — |
case-15 | fail→pass | 17,409 | 19,809 | +14% | 1 | 1 | 0% | 2,848 | 4,356 | +53% | 0 | 0 | — |
case-16 | fail→pass | 15,766 | 21,310 | +35% | 1 | 1 | 0% | 2,647 | 3,856 | +46% | 0 | 0 | — |
case-17 | pass→pass | 15,074 | 17,398 | +15% | 1 | 1 | 0% | 2,470 | 3,959 | +60% | 0 | 0 | — |
case-18 | pass→pass | 18,946 | 21,833 | +15% | 1 | 1 | 0% | 3,020 | 4,965 | +64% | 0 | 0 | — |
case-19 | pass→pass | 24,377 | 22,620 | -7% | 1 | 1 | 0% | 4,996 | 5,900 | +18% | 0 | 0 | — |
case-20 | fail→fail | 7,609 | 7,382 | -3% | 1 | 1 | 0% | 1,489 | 2,676 | +80% | 0 | 0 | — |
case-21 | pass→pass | 15,936 | 17,797 | +12% | 1 | 1 | 0% | 2,551 | 4,169 | +63% | 0 | 0 | — |
case-22 | fail→fail | 17,204 | 20,250 | +18% | 1 | 1 | 0% | 2,806 | 4,824 | +72% | 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 +32 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is 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.