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Get Started Free →Automated LinkedIn engagement workflow. The agent finds a relevant post on your chosen topic, drafts a comment with a genuine insight, gets your approval in chat, and posts it — all in one loop. You approve once before anything is posted. Use when asked to "engage on LinkedIn", "find a post to comment on", "post a LinkedIn comment", or "engage on [topic]". Requires LinkedIn session credentials in .env. Everything runs locally — credentials never leave your machine.
.claude/skills/zhixiangluo-linkedin-engagement/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -12% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -30% | 0% |
| case-07 | ✓→✗ | ▼ Worse | 8% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 115% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 10% | 0% |
> Canonical: workflows/linkedin_automation/linkedin_engagement.md (in this repo). This file is a thin pointer for Cursor skill discovery — load the canonical workflow doc for the full agent loop, setup, privacy notes, and risk warning.
Read workflows/linkedin_automation/linkedin_engagement.md and follow it.
Other measured skills in the registry, with their headline benchmark lift.