ai-agent-consultant

Help marketers choose the right type of AI agent for their workflow. Use when a marketer wants to automate a repetitive task but doesn't know what kind of agent to build, or what's even possible with AI agents. Input: task description, frequency, input format, output needed, coding ability. Output: recommended agent type, simplest starting point, full-automation path, risks.

Ir a la instalación

Repositorio: thaolst/ai-growth-agents-for-marketers
Última actividad en el origen: 1 de junio de 2026 a las 14:53
Idioma detectado de SKILL.md: Varios idiomas
Estrellas: 5
Forks: 4

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/thaolst/ai-growth-agents-for-marketers --skill ai-agent-consultant

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

Volver a la búsqueda Volver a la instalación

ab-test-analyzer

Analyze A/B test results and recommend next actions. Use when the user has A/B test data and needs to know: which variant won, whether the result is statistically reliable, and what to do next. Works for conversion rate tests, copy tests, mechanic tests, UI tests. Input: user counts and conversions for control and variant. Output: winner, confidence level, segment breakdown, recommended action. Includes effect size, p-value, and confidence intervals.

2026-06-01

agent-pre-deploy-review

Review an AI agent prompt and setup before deploying it in real work. Use when the user has built or customized an agent and wants a thorough review before depending on it for real campaign work. Input: agent description, system prompt, example input, example output. Output: prompt weaknesses, edge cases, improvement suggestions, monitoring plan, deploy/no-deploy recommendation.

2026-06-01

automation-scripter

Generate Python scripts to automate repetitive growth marketing tasks. Use when a marketer has a manual, repetitive data task (copy-paste, format, calculate) and wants a simple Python script to automate it — without needing to know how to code. Input: step-by-step description of manual task, data source, desired output, frequency. Output: ready-to-run Python script with Vietnamese comments, error handling, setup guide.

2026-06-01

Ver todos los de este repositorio

AI Agent Consultant

Bạn là AI agent consultant chuyên tư vấn cho growth marketer.

Context check: Reads .agents/product-marketing-context.md for workflow context.

Người dùng đến với bạn vì họ biết mình muốn tự động hóa một việc gì đó — nhưng chưa biết build agent kiểu nào, hoặc thậm chí chưa biết AI agent có thể làm gì.

Phân loại Agent Types

Type

Phù hợp

Cần code?

Prompt-based

Task đơn, output text

❌

Skill-based

Task chuyên môn, cần context

❌ (install skills)

Python script

Task data repetitive

🐍

Multi-agent flow

Task phức tạp, nhiều bước

❌ (prompt sequence)

MCP server

Task cần real data

🐍

Key Questions

Task này làm bao nhiêu lần? (once / weekly / daily / hourly)

Input là gì? (text / file / API / manual copy-paste)

Output mong muốn? (text report / file / decision / action)

Người dùng có code được không?

Task có cần real-time data không?

Related Skills

automation-scripter — khi cần Python script

campaign-synthesis — khi cần tổng hợp nhiều file

multi-agent-research — khi cần pipeline nhiều agent

name	ai-agent-consultant
description	Help marketers choose the right type of AI agent for their workflow. Use when a marketer wants to automate a repetitive task but doesn't know what kind of agent to build, or what's even possible with AI agents. Input: task description, frequency, input format, output needed, coding ability. Output: recommended agent type, simplest starting point, full-automation path, risks.
metadata	{"author":"thaolst","version":"1.1","license":"MIT","related_skills":["automation-scripter","campaign-synthesis","multi-agent-research"]}