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Error Prevention Recovery

  • 38 installs
  • 87 repo stars
  • Updated June 9, 2026
  • owl-listener/inclusive-design-skills

Helps with ai & agent building tasks during AI-assisted development.

About

error-prevention-recovery is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • error-prevention-recovery
  • AI & Agent Building
  • AI-coding skill

Error Prevention Recovery by the numbers

  • 38 all-time installs (skills.sh)
  • +5 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #8,404 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/owl-listener/inclusive-design-skills --skill error-prevention-recovery

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Listed on Skillselion
Installs38
repo stars87
Last updatedJune 9, 2026
Repositoryowl-listener/inclusive-design-skills

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

Error Prevention and Recovery

Design systems that prevent errors before they happen, and when errors do occur, help people recover without shame, confusion, or lost work.

Prevention Strategies

Forgiving Input

  • Accept multiple date formats ("15/03/2026", "15 March 2026", "March 15, 2026")
  • Accept multiple phone formats ("(555) 123-4567", "555-123-4567", "5551234567")
  • Auto-format as the user types
  • Case-insensitive matching
  • Trim whitespace automatically
  • Show format examples next to fields ("e.g., 15/03/2026")

Smart Defaults

  • Pre-select the most common option
  • Pre-fill known information (name from account, address from postcode)
  • Show the recommended choice for complex decisions
  • Default to the safest option for irreversible settings

Progressive Validation

  • Validate each field when the user moves to the next (on blur)
  • Show success states for correctly completed fields
  • Never validate while the user is still typing
  • Never clear user input on error — always preserve their work

Minimal Demands

  • Only ask for information you strictly need
  • Mark optional fields, not required ones (most fields should be required

by design — if they aren't needed, remove them)

  • Break long forms into steps with clear progress

Error Message Design

Every error message must answer three questions: 1. What happened? (specific, not generic) 2. Why? (in plain language) 3. What do I do now? (a clear, single action)

Examples

Bad: "Invalid input" Good: "Please enter a date in the format DD/MM/YYYY — for example, 15/03/2026"

Bad: "Error 403" Good: "You don't have permission to view this page. Contact your team admin to request access."

Bad: "Password does not meet requirements" Good: "Your password needs at least 8 characters and one number. You have 6 characters."

Error Message Tone

  • Never blame the user ("You entered an invalid email")
  • State the situation neutrally ("We need a valid email to continue")
  • Be specific about what needs to change
  • Offer an alternative path when possible

Recovery Design

  • Undo available for at least 10 seconds after any action
  • Confirmation before destructive actions with useful detail:

"Delete 'Project Alpha'? This removes all 23 files. This cannot be undone."

  • Preview before submission for any consequential action
  • Save progress automatically in long flows
  • Alternative path when primary path fails:

"Can't upload a photo? You can describe what you see instead."

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