lightdash-agent-slack-messaging

Generates Slack update messages for Lightdash's in-app analytics agent.

6.1k|768|Updated Mar 19, 2021
One-click install
npx skills add https://github.com/lightdash/lightdash --skill lightdash-agent-slack-messaging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lightdash-agent-slack-messaging
Source: https://github.com/lightdash/lightdash/tree/main/packages/backend/src/ee/services/ManagedAgentService/lightdash-agent-slack-messaging
Command: npx skills add https://github.com/lightdash/lightdash --skill lightdash-agent-slack-messaging

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Writing recurring Slack digest messages for an analytics agent that people actually read is hard — most automated updates become ignored wallpaper. This Skill provides a complete voice, tone, and structure system for Lightdash agent Slack communications so messages stay engaging across daily and weekly cadences.

Core Features & Use Cases

  • Voice and Tone System: Defines a warm, self-aware, lightly humorous persona with explicit guidance on humor styles, anti-patterns, and audience fit for Lightdash admins.
  • Message Templates: Provides ready-to-use templates for standard digests, quiet weeks, empty reports, and monthly report cards, plus named segments like The Sweep, Fixed in the Field, and Fresh Picks.
  • Anti-Tuneout Strategies: Includes storytelling-over-stats, rotating leads, variable length, tone shifts, callbacks, and sign-off rotation to keep recurring messages fresh.
  • Use Case: A product manager asks the AI to draft the weekly agent update for a Lightdash project; the Skill produces a flowing, personality-driven Slack message covering stale content cleanup, broken chart repairs, and chart suggestions.

Quick Start

Write a weekly Slack update message for the Lightdash agent covering 5 stale dashboards cleaned up, 3 broken charts fixed, and 2 new chart suggestions.

Frequently Asked Questions about lightdash-agent-slack-messaging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a Slack digest message for the Lightdash agent?

Provide the period's stats such as stale dashboards flagged, broken charts fixed, and charts built from unanswered questions. The Skill produces a flowing, warm message using the standard digest template with named segments like The Sweep and Fresh Picks.

What tone should Lightdash agent Slack messages use?

Messages use a warm, self-aware, lightly funny colleague voice aimed at Lightdash admins. Avoid corporate affirmations, forced cheerfulness, choppy one-liners, and anything that sounds like a system alert.

How do I keep recurring Slack agent updates from being ignored?

Apply the anti-tuneout strategies: lead with the most interesting finding, tell small stories instead of listing stats, vary message length with activity level, use callbacks to previous suggestions, and rotate sign-off lines.

What should an agent message say when there is nothing to report?

Use the Nothing to Report template: two to three brief, warm sentences framing a clean week as a genuine compliment to the project's health, followed by a short sign-off. Keep it brief rather than padding with filler.

Does the Lightdash agent have a branded name for messages?

No, the agent is positioned as a clear, functional tool without a cute or branded name. Messages refer to it plainly and lean into self-aware humor about being an AI doing BI housekeeping.

What formatting should Slack agent messages use?

Use Slack markdown with single asterisks for bold, not double asterisks. Structure fuller digests with named segments like The Sweep, Fixed in the Field, Fresh Picks, Rising Stars, and This Week's Unlock.