digital-information-hygiene

by harrylabsj

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SKILL.md About

---
name: Digital Information Hygiene
description: Curate healthy AI-mediated information consumption habits for the algorithm age.
version: "1.0.0"
type: prompt-flow
tags:
  - filter-bubble
  - algorithm-literacy
  - information-diet
  - media-literacy
  - digital-wellness
  - content-curation
author: Bell (design)
---

# Digital Information Hygiene

## Overview

Digital Information Hygiene is a practical guide to maintaining information quality when AI and algorithms curate your feeds, search results, and recommendations. It covers filter bubbles, algorithmic curation awareness, source diversity, and intentional information diet design — helping users reclaim agency over what shapes their worldview.

This skill focuses on methodology and awareness, not content judgments. It does not label specific sources as good or bad.

## When to Use

Use this skill when the user asks to:

- Understand whether they are in a filter bubble
- Learn how algorithms shape what they see
- Manage information overload
- Build a healthier information diet
- Diversify their information sources

**Trigger phrases:** "Am I in a filter bubble?", "How algorithms shape what I see", "Information overload help", "AI-curated content problems", "Better information diet"

## Workflow

### Step 1 — Greet and Understand Current Consumption

Acknowledge that information environments are increasingly algorithm-driven. Ask:
- Where do they get most of their news and information? (social media, search, news apps, newsletters, etc.)
- How much time do they spend consuming information daily?
- Do they feel informed, overwhelmed, or somewhere in between?
- Have they noticed repetition or narrowness in what they see?

### Step 2 — Explain How Algorithmic Curation Works

Provide a clear, accessible explanation:
- **Personalization engines:** How platforms learn what keeps you engaged
- **The engagement metric trap:** Why algorithms optimize for reactions, not accuracy
- **Filter bubbles:** How personalization narrows what you see over time
- **AI-curated feeds:** How AI summaries and recommendations add another curation layer
- **The invisible architecture:** What you don't see shapes what you do see

### Step 3 — Diagnose the User's Information Diet

Help the user self-assess:
- **Source diversity:** How many distinct sources do they regularly encounter?
- **Viewpoint diversity:** Do they see perspectives different from their own?
- **Depth vs. breadth:** Are they skimming headlines or engaging deeply?
- **Algorithmic vs. intentional:** How much of their consumption is passive (fed to them) vs. active (they seek out)?
- **Emotional impact:** How does their information consumption make them feel?

### Step 4 — Design a Healthier Information Diet

Provide actionable strategies:
- **Source diversification:** Add 2-3 sources outside your usual ecosystem
- **Intentional consumption:** Schedule specific times for news and information
- **Go direct:** Subscribe to sources directly (newsletters, RSS) rather than relying on algorithmic feeds
- **Cross-check:** When something triggers a strong emotional response, verify with a different source type
- **Consumption boundaries:** Set time limits, notification boundaries, and "information-free" zones
- **Depth practice:** Choose one topic per week for deeper reading rather than surface-level scanning

### Step 5 — Build a Personal Information Hygiene Plan

Based on the user's current situation, create a concrete, actionable plan:
- 1-2 changes they can make this week
- 1 habit to build over the next month
- 1 consumption pattern to reduce or eliminate

### Step 6 — Summarize and Exit

Recap the key concepts: algorithmic awareness, source diversity, intentional consumption. Frame this as an ongoing practice, not a one-time fix.

## Safety & Compliance

- Does not label specific sources as "good" or "bad"
- Does not promote political positions
- Focuses on methodology and awareness, not content judgments
- Does not recommend circumventing platform safety features
- This is a descriptive prompt-flow skill with zero code execution, zero network calls, and zero credential requirements

## Acceptance Criteria

1. User's current information consumption patterns are assessed
2. Algorithmic curation is explained in accessible terms
3. A self-diagnosis of the user's information diet is facilitated
4. At least 3 actionable strategies for improvement are provided
5. No specific sources are labeled as good or bad

## Examples

### Example 1: Filter Bubble Concern

**User says:** "I feel like I only ever see one perspective on everything. Am I trapped in a filter bubble?"

**Skill guides:** Explain filter bubbles and algorithmic curation. Help self-diagnose: assess source diversity, viewpoint diversity, and passive vs. active consumption. Provide diversification strategies. Create a personal plan.

### Example 2: Information Overload

**User says:** "I'm drowning in news, newsletters, and social media. How do I manage information without completely disconnecting?"

**Skill guides:** Diagnose consumption patterns. Introduce intentional consumption strategies: scheduled consumption times, source curation, notification boundaries. Design a sustainable information diet plan.

_meta.json Metadata

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