winston-dashboard-composition

Parse dashboard intents and generate structured dashboards from manifests.

Updated Jan 22, 2026
One-click install
npx skills add https://github.com/paulmalmquist/Consulting_app --skill winston-dashboard-composition
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: winston-dashboard-composition
Source: https://github.com/paulmalmquist/Consulting_app/tree/main/skills/winston-dashboard-composition
Command: npx skills add https://github.com/paulmalmquist/Consulting_app --skill winston-dashboard-composition

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill orchestrates the parsing of dashboard intents and the composition of dashboards, enabling consistent layouts and reliable data hydration across Winston dashboards.

Core Features & Use Cases

  • Intent parsing and section-based dashboard composition to produce consistent layouts.
  • Data validation and widget hydration to prevent blank widgets and misaligned metrics.
  • Manifest-driven updates and prompt-driven adjustments to dashboard generation.

Quick Start

Generate a hydrated dashboard by parsing the latest manifest and prompts.

Frequently Asked Questions about winston-dashboard-composition

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

FAQPage Schema
How do I parse dashboard intents to generate structured layouts?

You can parse dashboard intents to generate structured layouts by using manifest-driven composition to map prompts to specific sections and archetypes. This approach ensures consistent dashboard generation and reliable widget hydration.

Why do my dashboard widgets show blank data after hydration?

Blank dashboard widgets during hydration often occur due to failed data validation. Applying explicit data validation during widget hydration prevents misaligned metrics and ensures reliable data populates the dashboard sections correctly.

What is manifest-driven dashboard generation and when is it needed?

Manifest-driven dashboard generation uses a predefined manifest to orchestrate section composition and widget hydration. It is needed when you require consistent layouts, prompt-to-spec traceability, and explicit error handling across multiple dashboard updates.

How do I validate data hydration to prevent misaligned metrics?

To validate data hydration and prevent misaligned metrics, apply explicit data validation rules during the widget hydration process. This validates the incoming data against the manifest specifications before rendering the dashboard.

Can I adjust dashboard composition through prompt-driven updates?

Yes, you can make prompt-driven adjustments to dashboard composition by parsing the latest prompts against the current manifest. This allows dynamic section and archetype composition while maintaining data validation and query transparency.