user-journey-tracking
Track user journeys with intent context and friction signals. Use when instrumenting onboarding, checkout, or any multi-step flow where you
Open source Repository Open in the app JSON README (API)
About
Track user journeys with intent context and friction signals. Use when instrumenting onboarding, checkout, or any multi-step flow where you need to understand WHY users fail.
Details
- Kind
- Agent skills
- Topic
- E-commerce & business
- Publisher
- nexus-labs-automation
- Origin
- majiayu
- Category
- ferramentas
- Stars
- 70
- Forks
- 12
- Open pull requests
- 1
- Last push
- 2026-08-23T12:12:46Z
- Repository state
- ativo
- License
- MIT
- Added
- 2026-09-01 17:10:18
- Updated
- 2026-09-01 17:10:18
- Origin id
nexus-labs-automation/mobile-observability/skills/user-journey-tracking@main
README
# Mobile Observability Plugin Teaches Claude how to instrument mobile apps correctly — what to measure, what context to attach, and what mistakes to avoid. ## The Problem Most mobile teams instrument poorly: - **Too little** — Can't debug production issues - **Too much** — Noise, cost, battery drain - **Wrong context** — Errors without enough data to act on This plugin teaches Claude to capture both **user intent** (what they tried to do) and **system state** (device conditions, errors, performance) so you can answer *"Why did this fail, and for whom?"* ## Installation ```bash claude plugin marketplace add calube/mobile-observability claude plugin install mobile-observability ``` ## Usage ### Commands ``` /instrument ios /audit features/checkout ``` ### Natural Prompts ``` "How should I instrument this payment flow?" "What context should I attach to crashes?" "Set up session replay with Bitdrift" "Review this code for observability anti-patterns" "What's missing from our crash reporting setup?" ``` ## Commands | Command | Description | |---------|-------------| | `/instrument [platform]` | Generate prioritized instrumentation plan for iOS, Android, React Native, or Flutter | | `/audit [path]` | Scan existing code for instrumentation gaps and anti-patterns | ## Agents Agent definitions that Claude reads and follows when performing analysis tasks. ### codebase-analyzer Explores mobile codebases to understand architecture and identify instrumentation opportunities. **Focus Areas:** - Platform and architecture detection (MVVM, TCA, Clean Architecture) - Existing telemetry SDK inventory - Entry points and key user flows - Network, persistence, and state management layers **Output:** - Platform summary with language/version - Architecture pattern identification - Existing SDK coverage assessment - Gap analysis with priority ranking ### instrumentation-reviewer Reviews code changes for observability issues before they ship. **Focus Areas:** - Anti-patterns (PII leaks, high cardinality, sync telemetry) - Missing context (no user ID, no session, no screen) - Naming consistency - Vendor best practices **Output:** - Issues by severity with file:line references - Specific fixes with code examples - Vendor guideline references ## Skills 8 skills that activate automatically based on context: | Skill | Trigger | |-------|---------| | `instrumentation-planning` | "What should I measure?" | | `crash-instrumentation` | "How to capture crashes with context" | | `session-replay` | "Set up session replay" | | `interaction-latency` | "Track button response time" | | `navigation-latency` | "Track screen load time" | | `network-tracing` | "Trace API requests" | | `user-journey-tracking` | "Track user funnels" | | `symbolication-setup` | "Configure dSYM upload" | ## When to Use **Use this plugin for:** - Adding observability to a new or existing mobile app - Setting up crash reporting, performance monitoring, or session replay - Choosing between vendors (Sentry, Datadog, Embrace, Bitdrift, Firebase, New Relic, etc.) - Reviewing instrumentation code for anti-patterns - Understanding what context to attach to errors **Don't use for:** - Backend/server observability - Web frontend (different patterns) - General logging questions unrelated to mobile ## Directory Structure ``` mobile-observability/ ├── commands/ # /instrument, /audit ├── agents/ # codebase-analyzer, instrumentation-reviewer ├── skills/ # 8 instrumentation skills ├── hooks/ # Anti-pattern warnings for Swift/Kotlin/TypeScript/Dart └── references/ # 25+ guides covering methodology, platforms, vendors ``` ## Philosophy 1. **Start with crashes** — Get crash reporting and symbolication right before adding anything else 2. **Context over volume** — One error with full context beats 100 without 3. **User intent + system state** — Link what users tried to do with device conditions (memory, network, battery) 4. **Avoid anti-patterns early** — PII leaks and high cardinality are expensive to fix later ## Author [Caleb Davis](https://github.com/calube) ## License MIT — see [LICENSE](LICENSE)