Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Pesquisa Social

ASecurity

Use when the user wants to research what real users are saying about a topic/product/model across social platforms — sentiment, complaints, experiences. Triggers on "pesquisa social", "o que estão falando", "sentimento dos usuários", "last 30 days", "opinião de quem usou", "reclamações sobre". Sits between shallow web search and expensive deep research.

2 stars
0 votes
0 copies
0 views
Added 9/19/2026
ai-agentsgogitapi

Works with

cursorapi

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add majinmagros/magros.ai-skills --skill pesquisa-social --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Pesquisa Social?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Pesquisa Social
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/majinmagros-pesquisa-social/badge)](https://www.skillsdirectory.com/skills/majinmagros-pesquisa-social)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: pesquisa-social
description: Use when the user wants to research what real users are saying about a topic/product/model across social platforms — sentiment, complaints, experiences. Triggers on "pesquisa social", "o que estão falando", "sentimento dos usuários", "last 30 days", "opinião de quem usou", "reclamações sobre". Sits between shallow web search and expensive deep research.
---

# Skill: Pesquisa-social — sentimento real de usuários (estilo Last 30 Days)

Busca a experiência REAL de quem usa, em vez de manchetes/artigos rankeados.
Preenche o meio-termo entre busca web (rápida/rasa) e deep research
(completa/cara/lenta).

## Quando usar (gatilhos)

- "O que estão falando desse produto?"
- "Sentimento dos usuários sobre X"
- "Reclamações sobre o modelo novo"
- "Opinião de quem usou (last 30 days)"
- "Isso é hype ou o povo gostou?"

## Exemplo

```text
Tema: "Cursor vs Windsurf" → Reddit + HN + YouTube
Convergência: "autocomplete bom, preço confuso" (12 menções, 3 fontes)
```

## 1. Decida o nível (três degraus)

| Degrau | Quando usar | Custo |
|---|---|---|
| **Busca web** | Pergunta de dia a dia, sem profundidade | Instantânea |
| **Pesquisa social** (esta skill) | Quer sentimento/experiência de usuários | Médio |
| **Deep research** | Relatório exaustivo com fontes formais | Milhões de tokens, 15–30 min |

Se a pergunta é sobre reação popular a lançamento/modelo/ferramenta, a
pesquisa social SUPERSA o deep research (que é enviesado por jornalistas).

## 2. Fontes e acesso (por custo)

- **Grátis, sem chave**: Reddit, Hacker News, Polymarket, GitHub.
- **Grátis, com ferramenta**: YouTube via `yt-dlp` (transcrições/legendas).
- **Com API/chave**: TikTok, Instagram, LinkedIn (agregadores tipo
  Scraper Creators); X via cookies do browser logado ou chave paga (~centavos).
- Restrinja por fonte quando preciso: "busque só no YouTube" / "só no TikTok".

## 3. Processo (4 etapas)

1. **Melhorar o prompt** do tema, mesmo que o usuário tenha sido vago.
2. **Decidir onde procurar**: por tema (ex.: celebridade → subreddit + X);
   dispare buscas em paralelo.
3. **Ler fundo**: comentários, posts, threads e transcrições de vídeo — não só títulos.
4. **Ranquear por convergência**: mesma queixa/opinião repetida em várias
   plataformas vira destaque; comentário solto não contamina o relatório.

## 4. Entrega

- Relatório em **Markdown** com: sentimento geral, pontos positivos/negativos,
  padrões-chave, plataformas acessadas e fontes linkadas (autor/vídeo/post).
- Separe "fato reportado" de "opinião"; cite quem falou.
- Se uma fonte exigir chave que não existe, diga e continue com as que tem acesso.

## 5. Regras

- Não invente fonte: só cite o que foi realmente acessado/lido.
- Convergência > volume bruto: 3 queixas idênticas valem mais que 50 soltas.

Attribution

majinmagrosmajinmagros
View sourceMore from majinmagros →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

1023331 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

686011 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3331 votes

catchup

Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.

611 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →