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/linkedin-growth-status

Show the linkedin-growth dashboard — lead counts by status, invites left today, pending older than the threshold, recent errors, and recent imports.

From plugin
awesome-agent-skill
2312 skills12 commands
Install
$ npx -y skills add charlieviettq/awesome-agent-skill --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/linkedin-growth-status

Context preview

What this command does when you run it.

Show the linkedin-growth dashboard — lead counts by status, invites left today, pending older than the threshold, recent errors, and recent imports.

Command definition

linkedin-growth-status.md
description: Show the linkedin-growth dashboard — lead counts by status, invites left today, pending older than the threshold, recent errors, and recent imports.
argument-hint: "[account name] [question]"

Use the **linkedin-growth** skill to answer status questions. Arguments: $ARGUMENTS

1. Start with the dashboard: `node scripts/status.mjs --json` (add `--account <name>` if I named one, and `--since 7d`/`30d` if I asked about a time window). 2. Present it clearly per account: paused?, daily limit, invites sent today and remaining, counts by status (not_connected / pending / connected / withdrawn / error), and any recent errors. 3. If I asked something the dashboard does not directly answer (conversion rates, best lists, pending older than N days, per-list breakdowns), consult `node scripts/schema.mjs --examples --json` and then run a read-only query with `node scripts/query.mjs --sql "..." --json`. 4. For a specific lead, use `node scripts/lead.mjs show "<name|url>" --json` and explain its status and recent run history.

These reads hit the local database (fast, free). Only if I explicitly ask for the *live* LinkedIn state should you call linkedin-cli directly.

Ships withawesome-agent-skill

Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).

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Maintenance
Python
Language
MIT
License
18d ago
Last commit
2mo ago
Created

Repo: charlieviettq/awesome-agent-skill