industry-trend-brief

Name: industry-trend-brief
Author: KirKruglov

Automação

Autor: KirKruglov

Turn a folder of articles and industry clippings into a weekly trend signals brief for your product team. Use when preparing for planning sessions or roadmap reviews. Triggers: 'industry trend brief', 'trend signals from articles', 'тренд-бриф из статей', 'создай brief по трендам'.

12estrelas

Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add KirKruglov/claude-skills-kit

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/industry-trend-brief/svg)](https://www.skillteca.com.br/skills/industry-trend-brief)

#ai

Skills relacionadas

Ver todas de Automação →

MoneyPrinterTurbo

90.3k

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

Automação por harry0703

weather-svg-creator

58.4k

Creates an SVG weather card showing the current temperature for Dubai. Writes the SVG to orchestration-workflow/weather.svg and updates orchestration-workflow/output.md.

Automação #ai por shanraisshan

asana-automation

41.2k

Automate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.

Automação #git #github por sickn33

payment-integration

41.2k

Integrate Stripe, PayPal, and payment processors. Handles checkout flows, subscriptions, webhooks, and PCI compliance. Use PROACTIVELY when implementing payments, billing, or subscription features.

Automação #git #github por sickn33

Alerta por categoria

Receba novas skills de Automação toda segunda

1 email curto, só com as skills novas de Automação. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Industry Trend Brief

This skill reads a folder of saved articles, excerpts, and text fragments and synthesizes them into a concise weekly trend signals brief for product teams. No web access required — fully file-based, designed for Cowork.

Input:

Folder path containing articles or text fragments (md or txt files)

Output:

Markdown response with executive summary, 3–5 ranked theme sections, and "What to Watch" list

Language Detection

Detect the user's language from thei

[Description truncada. Veja o README completo no GitHub.]

Compartilhar X LinkedIn