Linked-API

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Linkedin Skills

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

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Prix non confirmé★ 42 Stars GitHubRegistre mis à jour · 1 sept. 2026agent-skillskillagent

Vue d’ensemble

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

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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
Voir le texte 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

Examiner la source

Prix et coûts d’utilisation

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Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence
MIT
Prix non confirmé
Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Structure non vérifiée

Un dépôt répertorié ne prouve pas qu’un skill est installable. Vérifiez les instructions avant de proposer une installation.

Réviser avant installation: Éviter l’installation automatique

Licence: 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
Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source
Linked-API/linkedin-skills
Licence
MIT
Version
1.0.0
Dernier push GitHub
13 août 2026
Registre mis à jour
1 sept. 2026
Chemin des instructions
Structure non vérifiée

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

74/100

Solide

Confiance

63/100

Sandbox uniquement

Audit

78/100

Revue nécessaire

  • 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
—
Résultats
—

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Plus de détails
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      },
      {
        "id": "cursor",
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Pour le créateur

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur
Linked-API
Indexé par
Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/linked-api-linkedin-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/linked-api-linkedin-skills?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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