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Linkedin Skills

LinkedIn automation skills for AI agents – sales, social selling, data extraction, and more.

Revisar el código fuente Ver en GitHub

Precio sin confirmar★ 42 Estrellas de GitHubRegistro actualizado · 1 sept 2026agent-skill skill agent

Resumen

LinkedIn automation skills for AI agents – sales, social selling, data extraction, and more.

Leer documentación completa

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

linkedin-skills

A collection of LinkedIn skills for AI agents (Claude Code, Codex, Cursor, Windsurf), powered by LinkedIn CLI (@linkedapi/linkedin-cli) and Linked API.

Install

One command — detects your installed agents, asks what to install and where, and sets up the prerequisites for you:

npx @linkedapi/skills

Or just hand this to your AI agent:

Read https://linkedapi.io/skills/install.md and follow it.

For a single skill, hand over its own runbook instead — e.g. https://linkedapi.io/skills/linkedin/install.md or https://linkedapi.io/skills/linkedin-growth/install.md.

Non-interactive (agents / CI)

# Inspect the environment first (machine-readable)
npx @linkedapi/skills detect --json

# Install one skill in one command
npx @linkedapi/skills add linkedin --yes

# Install specific skills into specific agents
npx @linkedapi/skills add linkedin linkedin-growth \
  --agent claude-code --agent codex --scope project --yes --json

Other commands: list, update, remove, doctor (all support --json). See npx @linkedapi/skills --help.

Exit codes & readiness

add separates two things so a caller never mistakes "needs setup" for "install failed" (the agent-facing install runbook at linkedapi.io/skills/install.md spells this out for AI agents):

Exit code reflects only whether the install itself succeeded (files placed + dependencies installed). 0 = installed. 1 = a real install failure. 2 = bad arguments.
Readiness is reported in the JSON, not the exit code. Each skill carries ok (installed) and ready (fully configured and usable now). When a skill installed fine but still needs setup — e.g. LinkedIn tokens not connected yet — you get exit 0 with ready: false and a pending list describing what's left. Always parse the JSON; do not treat a readiness gap as a failure.

{ "success": tr

Ver fuente ↗

Ver texto original

# linkedin-skills

A collection of LinkedIn skills for AI agents (Claude Code, Codex, Cursor, Windsurf), powered by
[LinkedIn CLI](https://github.com/Linked-API/linkedin-cli) (`@linkedapi/linkedin-cli`) and
[Linked API](https://linkedapi.io).

## Install

One command — detects your installed agents, asks what to install and where, and sets up the
prerequisites for you:

```bash
npx @linkedapi/skills
```

Or just hand this to your AI agent:

```text
Read https://linkedapi.io/skills/install.md and follow it.
```

For a single skill, hand over its own runbook instead — e.g.
`https://linkedapi.io/skills/linkedin/install.md` or
`https://linkedapi.io/skills/linkedin-growth/install.md`.

### Non-interactive (agents / CI)

```bash
# Inspect the environment first (machine-readable)
npx @linkedapi/skills detect --json

# Install one skill in one command
npx @linkedapi/skills add linkedin --yes

# Install specific skills into specific agents
npx @linkedapi/skills add linkedin linkedin-growth \
  --agent claude-code --agent codex --scope project --yes --json
```

Other commands: `list`, `update`, `remove`, `doctor` (all support `--json`). See
`npx @linkedapi/skills --help`.

#### Exit codes & readiness

`add` separates two things so a caller never mistakes "needs setup" for "install failed"
(the agent-facing install runbook at `linkedapi.io/skills/install.md` spells this out for AI agents):

- **Exit code** reflects only whether the install itself succeeded (files placed +
  dependencies installed). `0` = installed. `1` = a real install failure. `2` = bad arguments.
- **Readiness** is reported in the JSON, not the exit code. Each skill carries `ok` (installed)
  and `ready` (fully configured and usable now). When a skill installed fine but still needs
  setup — e.g. LinkedIn tokens not connected yet — you get **exit 0** with `ready: false` and a
  `pending` list describing what's left. Always parse the JSON; do not treat a readiness gap as
  a failure.

```jsonc
{ "success": tr

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 →

Estructura sin verificar

Publicar un repositorio no demuestra que sea un skill instalable. Revisa las instrucciones antes de proponer una instalación.

Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 42 GitHub stars
Stars/forks activity: 42 stars, 7 forks; issue activity unavailable in current metadata
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: Linked-API/linkedin-skills
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 13 ago 2026
Registro actualizado: 1 sept 2026
Ruta de instrucciones: Estructura sin verificar

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

Calidad

74/100

Sólido

Confianza

63/100

Solo sandbox

Auditoría

78/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 42 GitHub stars
Stars/forks activity: 42 stars, 7 forks; issue activity unavailable in current metadata
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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Fuente de la ficha

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Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.

Creador: Linked-API
Fuente: Linked-API/linkedin-skills
Indexado por: Índice comunitario de OpenAgentSkill

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Resumen

linkedin-skills

Install

Non-interactive (agents / CI)

Exit codes & readiness

Revisar el código fuente

Precio y costes de ejecución

Empieza con una tarea pequeña

Fuente y notas de uso

Acceso para agentes

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