
New AI Agent Project Setup
Scaffold an AI agent wired to Olakai monitoring, with KPI design and validation steps.
- Repository
- andrewyng/context-hub
- Stars
- 13,984
- Licence
- MIT
- Files
- 1 file
What it does
When installed, the agent walks you through creating a new AI agent that reports to the Olakai monitoring platform. It guides you to design business KPIs before coding, create a workflow and agent using the Olakai CLI, define custom data fields that feed KPI formulas, and integrate the Olakai SDK. The file is a set of written instructions, so the agent follows them step by step rather than running a fixed program.
Great for
- Developers starting a new AI agent that needs Olakai analytics and KPI tracking
- Teams setting up governance and monitoring for agentic or chatbot-style AI workflows
- Engineers who want a checklist for defining KPIs and customData fields before writing SDK code
Skip it if
- Projects not using the Olakai platform, since every step depends on its CLI and API keys
- Anyone who would paste generated agent API keys (sk_agent_...) into shared code or chats, because the guide treats them as secrets to embed in the SDK
Try asking
- “Create a new Olakai-monitored agent for my document summarizer, including KPIs and workflow setup”
- “Help me design KPIs and customData fields for a ticket classification agent before I write SDK code”
- “Walk me through creating a workflow and agent with the Olakai CLI and validating the integration end to end”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
new-project.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip new-project.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip new-project.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 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
- Design your 2-4 KPIs and customData fields before writing any SDK code, as the guide insists, and register each field as a CustomDataConfig.
- Store the generated agent API key in an environment variable or secret manager rather than hard-coding it in source files.
- Check the full Olakai documentation for the SDK steps, since this excerpt ends before the SDK integration and validation sections.
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.