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Olakai Monitoring Integration

Adds Olakai LLM monitoring, custom KPIs and validation to existing AI code

Source Download skill
Repository
andrewyng/context-hub
Stars
13,984
Licence
MIT
Files
1 file

What it does

This skill guides an agent through adding Olakai, a monitoring service for AI applications, to code that already calls an LLM such as OpenAI or Anthropic. The agent wraps or follows each model call with a tracking event, sets up configuration and API keys, and helps define custom business metrics (KPIs) so the team can see how the AI is performing over time. It is written as a step-by-step integration guide, so the agent works through it in your codebase rather than as a standalone tool.

Great for

  • Developers who already have a working OpenAI, Anthropic or other LLM application and want usage and performance monitoring
  • Teams using Olakai who need to connect their existing agents to its SDK and define KPIs per agent
  • Engineers who want a checklist-style guide for TypeScript or Python SDK setup

Skip it if

  • Projects that do not use Olakai; the skill only makes sense with an Olakai account and API key
  • Anyone who would have the agent paste real API keys or customer personal data into tracking calls without review, since the examples send prompts, responses and user emails to a third-party service
  • Users who want a general-purpose monitoring solution unrelated to Olakai

Try asking

  • “Add Olakai monitoring to my existing OpenAI chatbot in TypeScript”
  • “Wrap my Anthropic Python client so each call is tracked in Olakai”
  • “Help me define 3 custom KPIs for my customer support agent and register them”
  • “Check that my Olakai integration is sending events end-to-end”
Step-by-step guide: how to use Olakai Monitoring IntegrationInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    integrate.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip integrate.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip integrate.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Review every tracking call before running it and remove fields such as userEmail or full prompts if your privacy policy does not allow sending them to Olakai
  • Store OLAKAI_API_KEY in environment variables or a secrets manager rather than in source files
  • Test the integration in a development environment first and confirm events appear in the Olakai dashboard before deploying

What's inside

  • SKILL.md

Redistributed unmodified from andrewyng/context-hub under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.