descriptive-action

Describe and analyze input content with structured, neutral outputs.

37|5|Updated Nov 18, 2025
One-click install
npx skills add https://github.com/BellaBe/lean-os --skill descriptive-action
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: descriptive-action
Source: https://github.com/BellaBe/lean-os/tree/main/.claude/skills/action-descriptive
Command: npx skills add https://github.com/BellaBe/lean-os --skill descriptive-action

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Produces neutral descriptions and analyses.

Core Features & Use Cases

  • Describe: Summarize input.
  • Explain: Provide evidence-based explanation.
  • Compare: Contrast options or data points.

Quick Start

Provide text or data; returns a structured description.

Frequently Asked Questions about descriptive-action

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

FAQPage Schema
How do I summarize and describe text or data neutrally?

Neutral description breaks down content into factual observations without interpretation. Provide your text or data; the Skill returns structured summaries separating observed facts from inferences, labeling assumptions, and handling gaps in information bounded and objectively.

What's the difference between describing, explaining, and comparing content?

Describing summarizes observed facts; explaining provides evidence-based reasoning for why something occurs; comparing contrasts multiple options or data points side by side. All three maintain neutrality, avoiding recommendations or normative language.

Can I use this for analyzing and reporting on events or systems?

Yes. The Skill analyzes events, systems, or datasets by providing factual breakdowns with structured outputs. It separates observational accuracy from interpretation, ensuring reports remain objective without editorial judgment or next-step recommendations.

How does this handle missing information or incomplete data?

The Skill applies bounded analysis to gaps—acknowledging what's absent, stating what can and cannot be concluded from available data, and avoiding speculation. This ensures outputs remain accurate even when complete information isn't available.

Why avoid normative language when describing or summarizing?

Normative language introduces subjective judgment (good, bad, should). Neutral description sticks to observable facts and evidence-based reasoning, making outputs reliable for decision-making without embedded bias or opinion.