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Competitor Researcher

Entérate de lo que hace tu competencia en un solo informe

Vigila los sitios y las ofertas de empleo de tu competencia, compara con la vez anterior y te entrega un resumen de una página con pruebas.

Vista previa de Competitor Researcher
Ideal para
Fundadores, jefes de producto y profesionales de marketing
Tiempo necesario
~15 min de configuración y luego, cada semana
Nivel
Apto para principiantes

Instálala en 3 pasos

Sin registro. Sin herramientas CLI. Elige tu IA, copia una línea y pégala.

Pro — las 511 habilidades

¿Prefieres hacerlo tú mismo? Compra la habilidad ($4.99), descarga el ZIP desde la confirmación de compra, descomprímelo en el directorio que se muestra arriba y reinicia tu sesión de IA — el mismo resultado. ¿Ya la compraste? Tu asistente de IA puede descargarla por ti.

Prueba en el mundo real

Gente real hizo este mismo trabajo con agentes de IA.

Qué incluye

Un SKILL.md (la guía paso a paso) + una plantilla inicial. Una vista previa:

Competitor Researcher

When to use

  • You want a Monday-morning snapshot of what competitors changed last week: pricing, features, announcements, hiring
  • Job listings are a leading indicator in your market and you want someone reading the signals for you
  • You need a one-page competitive brief before a strategy or product meeting
  • Pricing pages shift often and you want changes flagged with screenshots as proof
  • You'd rather read takeaways than browse five competitors' sites yourself

Workflow

  1. Set the watch list (input: competitor names → output: watch list + signals)
    Name 3–7 competitors and what to watch on each site: pricing page, changelog, announcements, careers page. Be specific per site — "keep an eye on Acme" is not a spec.
  2. Fetch on schedule (input: watch list → output: snapshots + screenshots)
    On your chosen cadence (the classic is Monday 8am), visit each site, record starting prices and core features, and capture homepage screenshots. Read-only: never submit forms, never apply for jobs, never create accounts.
  3. Diff against last time (input: this week's snapshots + last week's → output: change list)
    Compare and list only what changed. No change means no entry. This step is what makes the brief worth reading — a dump of everything is not intelligence.
  4. Read the hiring signals (input: new job postings → output: inferred intentions)
    Read new job descriptions and infer what each hire implies about product direction. Label every inference as inference, not fact — a JD is a signal, not an announcement.
  5. Write the one-page brief (input: change list + signals → output: brief)
    One page: changes summary, the single most important item, and three takeaways for your team. Every claim links to a screenshot or page with a capture date. Anything inferred is labeled as such.

Output spec

  • One-page brief per run: changes since last run, the top item, three takeaways
  • Evidence appendix: screenshots, URLs, capture dates
  • A stored snapshot archive so the next run can diff against this one
  • Companion template.md skeleton — fill in the blanks and use it

Good vs. bad examples

Vista previa de la plantilla

Competitor Researcher — Weekly Brief Template

One run = one brief. Run on your cadence (classic: Monday 8am), diff against last week.

Run — {date}

Watch list: {competitor names, 3–7}

Snapshots & screenshots

*Read-only only: no signups, no form submissions, no fake demo requests.*

What changed since {last run date}

*No change = no row.*

Hiring signals (inference — label everything)

*Reminder: a JD is a signal, not an announcement. Never state inference as fact.*

One-page brief

The single most important item: {one sentence}

Top takeaways for our team:

  1. {takeaway + what we should do}
  2. {…}
  3. {…}

El paquete de la habilidad (SKILL.md + plantilla) está escrito en inglés.

Pro — las 511 habilidades

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