Engagement triage

Clear the warming and nurture engagement queue — LinkedIn comments and reactions — end to end on the vruum CLI and via MCP.

Engagement triage clears the engagement queue: the warming and nurture touches — LinkedIn comments and reactions — that keep relationships alive between direct outreach. Pull the queue, polish or approve each item, skip the ones that don't fit the relationship stage, and batch-approve the reviewed set. The engagement-triage skill automates the same motion with parallel uplift and review.

CLI flow

# 1. Pull the engagement queue (optionally filter by status).
vruum engagement queue --status draft

# 2. Approve a single engagement once you've read it.
vruum engagement approve <id>

# 3. Polish a comment or change a reaction before approving.
vruum engagement edit <id> --content "<revised comment>"

# 4. Skip anything that doesn't fit the relationship stage.
vruum engagement skip <id>

# 5. Batch-approve a reviewed set (comma-separated ids).
vruum engagement bulk-approve --ids <id_a>,<id_b>,<id_c>

MCP flow

get_engagement_review returns the queue with each item's relationship context; manage_engagement approves, edits, or skips a single item. Both are default-loaded MCP tools.

get_engagement_review()                        → the engagement queue + context
manage_engagement(engagement_id=…, action="approve")
manage_engagement(engagement_id=…, action="edit", content="<revised comment>")
manage_engagement(engagement_id=…, action="skip")

For a bulk action or anything outside the engagement surface, use vruum_exec.

Use the skill

The engagement-triage skill runs the queue through parallel subagent uplift and review — it rewrites weak comments, flags AI tells, checks relationship-stage fit, and returns a reviewed batch ready to approve.

# CLI: read the packaged playbook.
vruum skills list
vruum skills show engagement-triage

# MCP: invoke it inline.
invoke_skill(skill_id_or_name="engagement-triage")