Indexado en Registry

audience-research

Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.

Revisar el código fuente Ver en GitHub

Precio sin confirmar★ 2,165 Estrellas de GitHubRegistro actualizado · 8 sept 2026agent-skill

Resumen

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Audience Research

Overview

Evaluate whether a creator or social account reaches the right audience. This skill combines available public profile metrics, TikTok audience demographics, regional signals, follower/following data when available, comments, language, and content topics.

When to Use

Use this skill when the user asks to:

check if a creator's audience fits a market
compare audience fit across creators
find US-heavy, country-specific, or niche-specific creators
evaluate sponsorship/influencer opportunities
understand who appears to engage with an account

Useful Sources

/v1/tiktok/user/audience
/v1/tiktok/profile/region
profile endpoints across platforms
follower/following endpoints where available
comments on recent posts
link-in-bio pages and creator shops for niche signals

Workflow

Pull profile and available audience/demographic data.
Pull recent content and comments if audience intent matters.
Extract region, language, niche, product/category, and community signals.
Score audience fit against the user's target market.
Label confidence based on the strength of public data.

Output Format

# Audience Research: {creator}

## Fit Summary
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low

## Evidence
| Signal | Evidence | Source |
|---|---|---|

## Audience Notes
- Geography:
- Language:
- Niche/content fit:
- Comment quality:

## Sponsorship Recommendation
- Good fit / Maybe / Poor fit
- Why:

Common Pitfalls

Do not infer exact demographics from vibes. Use available evidence and label assumptions.
Do not overpromise audience details for platforms that do not expose them publicly.
Do not ignore mismatch between creator location and audience location.

Ver fuente ↗

Metadatos del archivo

name: audience-research
description: Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
allowed-tools: Bash, Read, Write, WebFetch

version: 1.0.0
author: ScrapeCreators
license: MIT
homepage: https://scrapecreators.com
repository: https://github.com/ScrapeCreators/social-media-research-skills
metadata:
  openclaw:
    requires:
      env:
        - SCRAPECREATORS_API_KEY
    primaryEnv: SCRAPECREATORS_API_KEY
    homepage: https://scrapecreators.com
    tags:
      - social-media
      - research
      - scrapecreators

Ver texto original

---
name: audience-research
description: Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
allowed-tools: Bash, Read, Write, WebFetch

version: 1.0.0
author: ScrapeCreators
license: MIT
homepage: https://scrapecreators.com
repository: https://github.com/ScrapeCreators/social-media-research-skills
metadata:
  openclaw:
    requires:
      env:
        - SCRAPECREATORS_API_KEY
    primaryEnv: SCRAPECREATORS_API_KEY
    homepage: https://scrapecreators.com
    tags:
      - social-media
      - research
      - scrapecreators
---

# Audience Research

## Overview

Evaluate whether a creator or social account reaches the right audience. This skill combines available public profile metrics, TikTok audience demographics, regional signals, follower/following data when available, comments, language, and content topics.

## When to Use

Use this skill when the user asks to:

- check if a creator's audience fits a market
- compare audience fit across creators
- find US-heavy, country-specific, or niche-specific creators
- evaluate sponsorship/influencer opportunities
- understand who appears to engage with an account

## Useful Sources

- `/v1/tiktok/user/audience`
- `/v1/tiktok/profile/region`
- profile endpoints across platforms
- follower/following endpoints where available
- comments on recent posts
- link-in-bio pages and creator shops for niche signals

## Workflow

1. Pull profile and available audience/demographic data.
2. Pull recent content and comments if audience intent matters.
3. Extract region, language, niche, product/category, and community signals.
4. Score audience fit against the user's target market.
5. Label confidence based on the strength of public data.

## Output Format

```markdown
# Audience Research: {creator}

## Fit Summary
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low

## Evidence
| Signal | Evidence | Source |
|---|---|---|

## Audience Notes
- Geography:
- Language:
- Niche/content fit:
- Comment quality:

## Sponsorship Recommendation
- Good fit / Maybe / Poor fit
- Why:
```

## Common Pitfalls

- Do not infer exact demographics from vibes. Use available evidence and label assumptions.
- Do not overpromise audience details for platforms that do not expose them publicly.
- Do not ignore mismatch between creator location and audience location.

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
SKILL.md is documentation-only; no executable scripts or code examples are provided, which may limit immediate usability.
Setup instructions are missing: how to obtain and configure the SCRAPECREATORS_API_KEY, and any required dependencies or environment setup.
The skill relies on external API endpoints (e.g., /v1/tiktok/user/audience) but does not specify authentication method, request format, or error handling.
No explicit limitations or rate-limit considerations are mentioned for the external API.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: ScrapeCreators/social-media-research-skills
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 26 ago 2026
Registro actualizado: 8 sept 2026
Ruta de instrucciones: skills/audience-research/SKILL.md @ 64ba7b4dea71

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

77/100

Sólido

Confianza

59/100

Do not auto-install

Auditoría

77/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
SKILL.md is documentation-only; no executable scripts or code examples are provided, which may limit immediate usability.
Setup instructions are missing: how to obtain and configure the SCRAPECREATORS_API_KEY, and any required dependencies or environment setup.
The skill relies on external API endpoints (e.g., /v1/tiktok/user/audience) but does not specify authentication method, request format, or error handling.
No explicit limitations or rate-limit considerations are mentioned for the external API.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Abrir API de instalación Formato de texto LLM Abrir Manifest Plan de resolución automática

Más detalles

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      "Setup instructions are missing: how to obtain and configure the SCRAPECREATORS_API_KEY, and any required dependencies or environment setup.",
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}

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Creador: ScrapeCreators
Fuente: ScrapeCreators/social-media-research-skills
Indexado por: Índice comunitario de OpenAgentSkill

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Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/scrapecreators-audience-research?metric=listed&label=Listed)](https://www.openagentskill.com/skills/scrapecreators-audience-research?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/scrapecreators-audience-research?metric=trust&label=Trust)](https://www.openagentskill.com/skills/scrapecreators-audience-research?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/scrapecreators-audience-research?metric=audit&label=Audit)](https://www.openagentskill.com/skills/scrapecreators-audience-research/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/scrapecreators-audience-research?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/scrapecreators-audience-research?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Vista previa de insignia Abrir auditoría Kit para creadores

Señal de comunidad

Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.