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Deliver Edge Cases

  • 566 installs
  • 518 repo stars
  • Updated August 4, 2026
  • product-on-purpose/pm-skills

deliver-edge-cases is an agent skill that documents edge cases, error states, boundary conditions, race conditions, and recovery paths as a systematic whole-feature catalog for developers specifying or testing software f

About

deliver-edge-cases in product-on-purpose/pm-skills (version 2.1.1, updated 2026-06-13, Apache-2.0) catalogs unusual, boundary, and error scenarios for a feature so happy-path specs do not hide production failures. The seven-step workflow defines feature scope, walks input validation extremes, explores boundary values, maps network and permission errors, considers concurrency and double-submit races, defines user-facing recovery paths, and prioritizes cases by likelihood and impact. Output follows references/TEMPLATE.md with Feature Overview, Edge Case Categories, Error Messages, Recovery Paths, and Test Scenarios sections, validated against a six-item quality checklist before handoff. Developers reach for deliver-edge-cases during specification before engineering, when preparing QA test plans, after production bugs expose gaps, or before launch to confirm error states are designed. The skill complements deliver-acceptance-criteria, which writes story-level Given/When/Then checks, by covering the whole-feature failure surface. deliver-edge-cases fits product engineers and tech leads who want intentional error handling rather than edge cases discovered only in production.

  • deliver-edge-cases
  • AI & Agent Building
  • AI-coding skill

Deliver Edge Cases by the numbers

  • 566 all-time installs (skills.sh)
  • +35 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #1,641 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/product-on-purpose/pm-skills --skill deliver-edge-cases

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Listed on Skillselion
Installs566
repo stars518
Last updatedAugust 4, 2026
Repositoryproduct-on-purpose/pm-skills

How do you document feature edge cases before coding?

Helps with ai & agent building tasks.

Who is it for?

Product engineers and tech leads specifying features who need a systematic failure-surface catalog before implementation or QA test planning begins.

Skip if: Story-level Given/When/Then acceptance criteria alone—use deliver-acceptance-criteria—or launch readiness checklists without failure analysis.

When should I use this skill?

User specifies feature edge cases, maps failure modes, plans QA boundary tests, reviews PRD completeness, or documents race conditions and recovery paths.

What you get

Edge-case catalog with categories, error messages, recovery paths, prioritized failure modes, and test scenarios from TEMPLATE.md.

  • Edge-case catalog document
  • Recovery path definitions
  • Prioritized test scenarios

By the numbers

  • Version 2.1.1 updated 2026-06-13
  • TEMPLATE.md defines 5 output sections
  • Quality checklist contains 6 verification items

Files

SKILL.mdMarkdownGitHub ↗

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->

Edge Cases

An edge cases document systematically catalogs the unusual, boundary, and error scenarios for a feature. While happy-path flows are typically well-specified, edge cases often get discovered in production - causing bugs, poor user experience, and support burden. Documenting edge cases upfront ensures engineering handles them intentionally and QA knows what to test.

When to Use

  • When you need to enumerate failure modes, race conditions, timeouts, and boundary or limit scenarios - everything that can go wrong - and define a recovery path for each
  • During feature specification before engineering begins
  • When preparing QA test plans
  • After discovering production bugs to prevent similar issues
  • When reviewing PRDs or user stories for completeness
  • Before launch to ensure error states have been designed

When NOT to Use

  • You need story-scoped Given/When/Then checks for handoff -> use deliver-acceptance-criteria; this skill catalogs the whole feature's failure surface
  • The feature is not specified enough to enumerate inputs, states, and limits -> use deliver-prd first
  • A production incident already happened and you want the learning banked -> use iterate-lessons-log, then update this catalog with the new case
  • You need readiness coordination for a launch, not failure analysis -> use deliver-launch-checklist

Instructions

When asked to document edge cases, follow these steps:

1. Define the Feature Scope Clearly describe what feature or flow you're analyzing. Edge cases are specific to context - the same input might be valid in one feature and invalid in another.

2. Walk Through Input Validation Consider every user input: What if it's empty? Too long? Wrong format? Contains special characters? What are the minimum and maximum valid values?

3. Explore Boundary Conditions Find the edges of acceptable ranges. If a field accepts 1-100, test 0, 1, 100, and 101. Consider pagination boundaries, timeout thresholds, and rate limits.

4. Map Error States Identify what can go wrong: network failures, permission denied, resource not found, concurrent modifications, expired sessions. Document both the scenario and expected behavior.

5. Consider Concurrency Issues What if two users act simultaneously? What if the user double-clicks? What if data changes between load and save? Race conditions often cause subtle bugs.

6. Define Recovery Paths For each error, specify how users recover. What message do they see? Can they retry? Is data preserved? Good error handling turns frustration into confidence.

7. Prioritize by Likelihood and Impact Not all edge cases need the same attention. High-likelihood + high-impact cases need robust handling; rare + low-impact cases might just need graceful failure.

Output Format

Use the template in references/TEMPLATE.md to structure the output. A complete edge-case catalog fills every template section: Feature Overview; Edge Case Categories; Error Messages; Recovery Paths; and Test Scenarios.

Quality Checklist

Before finalizing, verify:

  • [ ] All user inputs have validation edge cases documented
  • [ ] Boundary conditions are explicitly listed
  • [ ] Network/system failure scenarios are covered
  • [ ] Each error state has a defined user-facing message
  • [ ] Recovery paths are specified (not just error detection)
  • [ ] Edge cases are prioritized by likelihood and impact

Examples

See references/EXAMPLE.md for a completed example.

Related skills

How it compares

Pick deliver-edge-cases for whole-feature failure catalogs; pick deliver-acceptance-criteria for per-story Given/When/Then handoff checks.

FAQ

How is deliver-edge-cases different from acceptance criteria?

deliver-edge-cases catalogs the whole-feature failure surface—boundaries, race conditions, and recovery paths—while deliver-acceptance-criteria writes story-level Given/When/Then checks. Use deliver-edge-cases when systematic error and boundary coverage must precede per-story acc

What sections does deliver-edge-cases output include?

deliver-edge-cases fills references/TEMPLATE.md with Feature Overview, Edge Case Categories, Error Messages, Recovery Paths, and Test Scenarios. A six-item quality checklist verifies validation coverage, boundary listing, network failures, user messages, recovery paths, and prior

When should developers invoke deliver-edge-cases?

deliver-edge-cases fits feature specification before engineering, QA test planning, post-incident gap analysis, or pre-launch error-state reviews. Version 2.1.1 in product-on-purpose/pm-skills targets teams who want intentional failure handling instead of discovering edge cases o

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