GitHub
user-journey-tracking
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.
☆ 100View skill
nexus-labs-automation AI Skills
GitHub ↗Browse published AI skills maintained by nexus-labs-automation. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
42Repository stars across indexed skills
850Repository forks
80Average repository stars per indexed skill
20Repository stars may repeat across skills from the same repository.
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GitHub
symbolication-setup
Configure crash symbolication for readable stack traces. Use when setting up dSYMs (iOS), ProGuard/R8 mappings (Android), or source maps (React Native).
☆ 100View skill
GitHub
session-replay
Set up session replay for visual debugging. Use when implementing screen recording, replay features, or visual debugging tools.
☆ 100View skill
GitHub
crash-instrumentation
Set up crash instrumentation with actionable context. Use when configuring crash capture, error boundaries, or breadcrumb strategies.
☆ 100View skill
GitHub
interaction-latency
Measure time from user tap to action completion. Use when tracking button response times, form submissions, add-to-cart, or any tap-triggered operation.
☆ 100View skill
GitHub
instrumentation-planning
Plan what to measure in mobile apps. Use when starting observability, prioritizing instrumentation, or asking "what should I track?"
☆ 100View skill
GitHub
network-tracing
Instrument API requests with spans and distributed tracing. Use when tracking request latency, correlating client-backend traces, or debugging API issues.
☆ 100View skill
GitHub
navigation-latency
Measure time from navigation tap to screen fully loaded and interactive. Use when tracking screen transitions, deep links, or tab switches.
☆ 100View skill
GitHub
prompt-versioning
Track prompt versions, A/B test variants, and measure prompt performance
☆ 3View skill
GitHub
guardrails-safety
Instrument safety checks, content filters, and guardrails for agent outputs
☆ 3View skill
GitHub
instrumentation-planning
Plan what to measure in AI agent systems using tiered approach
☆ 3View skill
GitHub
human-in-the-loop
Instrument human approval workflows, feedback loops, and escalations
☆ 3View skill
GitHub
session-conversation-tracking
Instrument sessions, conversations, and multi-turn interactions
☆ 3View skill
GitHub
token-cost-tracking
Track token usage and costs across agents for budget management
☆ 3View skill
GitHub
production-eval-strategy
Strategies for evaluating agents in production - sampling, baselines, and regression detection
☆ 3View skill
GitHub
evaluation-quality
Instrument evaluation metrics, quality scores, and feedback loops
☆ 3View skill
GitHub
error-retry-tracking
Instrument error handling, retries, fallbacks, and failure patterns
☆ 3View skill
GitHub
multi-agent-coordination
Instrument multi-agent workflows, handoffs, and parent-child relationships
☆ 3View skill
GitHub
llm-call-tracing
Instrument LLM API calls with proper spans, tokens, and latency
☆ 3View skill
GitHub
memory-rag-instrumentation
Instrument RAG retrieval, memory operations, and context management
☆ 3View skill
GitHub
decision-tracing
Trace agent decision-making, tool selection, and reasoning chains
☆ 3View skill
GitHub
tool-call-tracking
Instrument agent tool executions with proper context and error handling
☆ 3View skill
GitHub
database-observability
Instrument database queries, connection pools, and detect N+1 queries
☆ 1View skill
GitHub
health-checks
Implement liveness, readiness, and dependency health checks
☆ 1View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.