deliver-edge-cases
Documents edge cases, error states, boundary conditions, race conditions, and recovery paths for a feature - the systematic catalog of what can go wrong and the failure modes to design for. Use during specification to map the failure surface and ensure comprehensive coverage, or during QA planning t
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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.