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- Repair Multi-Step Form State & Resume Bugs
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Repair Multi-Step Form State & Resume Bugs
Repair Multi-Step Form State & Resume Bugs is a bounded ToolForge Labs workflow.
$2.99
Repair Multi-Step Form State & Resume Bugs
Example session with this skill installed
A React enrollment wizard has six steps, conditional questions, autosave, and resume-from-link. Going backward can resurrect hidden fields, and double-clicking Finish occasionally submits twice. Repair the state contract.
- Read your context and instructions
- Compiled the repair multi-step form
The likely issue is a contract or lifecycle mismatch around multi-step forms, draft state, validation, back/forward navigation, conditional fields, autosave, resume, submission, duplicate actions, and schema changes. I would first state the invariant: A multi-step form must preserve one coherent user-intent state across navigation, validation, autosave, resume, and final submission, without resurrecting stale fields or duplicating side effects. Then I would map VERIFIED evidence against the owning boundary, keep LIKELY/UNKNOWN state explicit, apply or propose the narrowest repair, and add deterministic normal, boundary, interruption, retry/cancellation, and recovery tests. With repository/workspace access, findings can map to exact paths and focused local validation; with partial evidence, the result remains a bounded evidence map with no invented execution claims.
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About this skill
Repair Multi-Step Form State & Resume Bugs is a bounded ToolForge Labs workflow. Diagnose, review, and repair multi-step forms, draft state, validation, back/forward navigation, conditional fields, autosave, resume, submission, duplicate actions, and schema changes. Works from repositories/workspaces or partial supplied evidence. Produces bounded fixes or evidence gates with deterministic validation while preserving authorization, security, public interfaces, user-visible behavior, and documented ownership, and never invents executed work. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, sample data, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.
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