retention-analyzer

Analyze cohort retention, diagnose retention drops, identify at-risk segments, and recommend intervention strategies. Use when the user wants to understand retention trends, analyze cohort data, diagnose a retention drop, or plan retention campaigns. Specialized for fintech and super apps.

Ir para a instalação

Repositório: thaolst/ai-growth-agents-for-marketers
Última atividade na origem: 1 de junho de 2026 às 14:53
Idioma detectado do SKILL.md: inglês
Estrelas: 5
Forks: 4

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.

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

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

SKILL.md

Instruções da origem · Visualização somente leitura

Voltar à pesquisa Voltar à instalação

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

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.

2026-06-01

Ver todas deste repositório

name	retention-analyzer
description	Analyze cohort retention, diagnose retention drops, identify at-risk segments, and recommend intervention strategies. Use when the user wants to understand retention trends, analyze cohort data, diagnose a retention drop, or plan retention campaigns. Specialized for fintech and super apps.
metadata	{"author":"thaolst","version":"1.0","license":"MIT","related_skills":["growth-mcp-connect","churn-intervention","campaign-brief","campaign-planning"]}