olakai-add-monitoring
Add Olakai monitoring to an existing AI agent or LLM integration. AUTO-INVOKE when user wants to: add monitoring to existing code, integrate observability into a working agent, instrument an existing AI system,...
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Add Olakai monitoring to an existing AI agent or LLM integration. AUTO-INVOKE when user wants to: add monitoring to existing code, integrate observability into a working agent, instrument an existing AI system,...
Create a new AI agent with Olakai monitoring from scratch. AUTO-INVOKE when user wants to: build a new AI agent, create an AI workflow, set up a new chatbot or copilot, implement an autonomous agent, design an...
Troubleshoot Olakai monitoring issues when something isn't working. AUTO-INVOKE when user mentions: events not appearing, KPIs showing wrong values, KPIs showing strings instead of numbers, custom data missing,...
Generate analytics reports from Olakai data using CLI commands. AUTO-INVOKE when user wants: usage summaries, KPI trends, risk analysis, ROI reports, efficiency metrics, agent comparisons, token usage reports,...
Structure Olakai implementation plans to survive context clearing. AUTO-INVOKE when: Creating a plan for Olakai monitoring, writing implementation steps for AI observability, planning agent creation or SDK inte...
Get started with Olakai - install, authenticate, and set up your first agent. AUTO-INVOKE when: CLI is not installed, user is not authenticated, user asks about getting started with Olakai, user wants to try Ol...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.