By Terryc21
Audit SwiftUI app workflows to discover dead ends, broken promises, and UX friction, then generate phased improvement plans with decomposed tasks and risk/ROI ratings.
Epic decomposition into trackable, right-sized tasks. Three modes — audit-aware (codebase-audit reports), workflow-audit-aware (handoff.yaml with pre-rated findings), standalone (from scratch). Light convention scanning for projects without CLAUDE.md.
Systematic UI workflow auditing for SwiftUI applications. Discovers entry points, traces user flows, detects dead ends and broken promises, audits data wiring, evaluates from user perspective. Triggers: "workflow audit", "audit flows", "find dead ends", "check navigation".
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub terryc21/workflow-audit --plugin workflow-auditUse when reviewing a Claude Code skill, auditing skill quality before publish, or asking "is this skill any good?". Produces structured reports with file:line citations, severity-rated findings cards, and an optional second-opinion pass. Lens variants: full (default), safety, discoverability, architecture, parseability, tests, quick.
Six-skill audit suite for iOS/Swift codebases: data models, UI paths, data round-trips, time bombs, visual quality, and capstone grading. As of v2.0 every finding is classified on a 3-axis framework (real bug / scatter / dead code) with mandatory coaching citations to patterns in the audited codebase.
Mine for hidden bugs that pattern-based auditors miss — logic errors, broken assumptions, state machine gaps, and semantic fragility
After you fix a bug, find and rate other instances of the same pattern in the codebase. Two modes: inferred from your recent fix (self-validates the constructed pattern against the pre-fix file before scanning) or user-described. Each match is read in context and classified individually as BUG / WATCH / OK / REVIEW with severity, fix effort, and blast-radius columns. Pattern matching after a real fix is dramatically more accurate than pattern matching from a theoretical catalog.
Six-skill audit suite for iOS/Swift codebases: data models, UI paths, data round-trips, time bombs, visual quality, and capstone grading. As of v2.0 every finding is classified on a 3-axis framework (real bug / scatter / dead code) with mandatory coaching citations to patterns in the audited codebase.
Reviews SwiftUI code for best practices on modern APIs, maintainability, and performance.
SwiftUI のレイアウト落とし穴・ベストプラクティスガイド + Hit Area Auditor サブエージェント。ATT呼び出しタイミング、.buttonStyle(.plain) + contentShape、CRUD 機能網羅チェック、アフォーダンスチェックを含む
AI-powered visual testing and accessibility setup for iOS/SwiftUI apps. Build, launch in Simulator, test with computer use, detect crashes, analyze memory leaks, and add accessibility identifiers.
Swift, SwiftUI, SwiftData, iOS animation design/implementation/review, and framework code review (HealthKit, CloudKit, WidgetKit, watchOS, App Intents). Pairs with beagle-core for full workflow.
Expert SwiftUI guidance for state management, view composition, performance, and iOS 26+ Liquid Glass adoption.