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/network-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 network-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": true,
  "data": {
    "ready": false,
    "pending": [{ "skill": "network-growth", "pending": [{ "name": "db-accounts", "message": "0 accounts in DB — register each linkedin-cli account…" }] }],
    "installed": [{ "skill": "network-growth", "ok": true, "ready": false }]
  } }

Available skills

Skill	Description
linkedin	General-purpose LinkedIn automation – fetch profiles, search people and companies, send messages, manage connections, create posts, and more
network-growth	Two-phase lead pipeline – import + qualify leads against your ICP, then send connection invites on a schedule across one or more accounts

Prerequisites

The installer checks these for you and offers to set them up:

• Node.js ≥ 20
• @linkedapi/linkedin-cli (npm install -g @linkedapi/linkedin-cli)
• Linked API tokens — get them at app.linkedapi.io, then linkedin setup (the installer can run this for you).

Manual install (fallback)

Copy the skill folder into your agent's skills directory, e.g. .claude/skills/<skill>/ (project) or ~/.claude/skills/<skill>/ (global). For network-growth, also run npm install --omit=dev and node scripts/doctor.mjs inside the copied folder.

License

This project is licensed under the MIT – see the LICENSE file for details.