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Skills for Olakai — measure ROI, govern risk, and control costs across AI agents and applications
npx claudepluginhub olakai-ai/olakai-skillsOlakai - measure AI ROI, govern risk, and control costs. Create agents with analytics, add tracking to existing code, troubleshoot, and generate reports
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Official skills for integrating AI agents with Olakai - the enterprise AI observability and governance platform.
These skills follow the Agent Skills Standard and work with Claude Code, Cursor, VS Code Copilot, and other compatible AI coding assistants.
# List available skills
npx add-skill olakai-ai/olakai-skills --list
# Install a specific skill
npx add-skill olakai-ai/olakai-skills/olakai-get-started
npx add-skill olakai-ai/olakai-skills/olakai-new-project
npx add-skill olakai-ai/olakai-skills/olakai-integrate
npx add-skill olakai-ai/olakai-skills/olakai-troubleshoot
npx add-skill olakai-ai/olakai-skills/olakai-reports
# Clone to user-level skills directory
git clone https://github.com/olakai-ai/olakai-skills ~/.claude/skills/olakai-skills
# Or clone to project-level
git clone https://github.com/olakai-ai/olakai-skills .claude/skills/olakai-skills
| Skill | Description |
|---|---|
| olakai-get-started | Install the CLI, authenticate, and send your first monitored event |
| olakai-new-project | Build a new AI agent project from scratch with full observability |
| olakai-integrate | Add Olakai to existing AI code with minimal changes |
| olakai-troubleshoot | Diagnose and fix issues with events, KPIs, or SDK integration |
| olakai-reports | Generate usage summaries, KPI trends, ROI reports from the terminal |
The olakai-expert agent combines all four skills into a single specialist:
| Agent | Description |
|---|---|
| olakai-expert | Full Olakai integration specialist - creates agents, adds monitoring, troubleshoots issues, generates reports |
Before using these skills, ensure you have:
npm install -g olakai-cliolakai loginAlways validate your Olakai integration by generating a test event and inspecting it:
# 1. Run your agent/trigger LLM call
# 2. Fetch the event
olakai activity list --agent-id AGENT_ID --limit 1 --json
olakai activity get EVENT_ID --json | jq '{customData, kpiData}'
# 3. Validate:
# - customData has all expected fields
# - kpiData shows NUMBERS (not strings like "MyVariable")
# - kpiData shows VALUES (not null)
# CLI Authentication
olakai login
olakai whoami
# View Activity
olakai activity list --limit 10
olakai activity get EVENT_ID --json
olakai activity sessions --agent-id ID # Session decoration status
# Manage Agents (includes API key generation)
olakai agents list
olakai agents create --name "Agent Name" --with-api-key --json
olakai agents get AGENT_ID --json | jq '.apiKey'
# Manage KPIs
olakai kpis list --agent-id ID
olakai kpis create --formula "Variable" --agent-id ID
# Manage Custom Data
olakai custom-data list
olakai custom-data create --name "Field" --type NUMBER
TypeScript:
import { OlakaiSDK } from "@olakai/sdk";
const olakai = new OlakaiSDK({ apiKey: process.env.OLAKAI_API_KEY! });
await olakai.init();
const openai = olakai.wrap(new OpenAI({ apiKey }), { provider: "openai" });
Python:
from olakaisdk import olakai_config, instrument_openai
olakai_config(os.getenv("OLAKAI_API_KEY"))
instrument_openai()
For automatic skill activation (recommended for heavy Olakai users):
# Install activation hooks for improved auto-invocation rate
cp hooks/skill-activator.sh ~/.claude/hooks/
chmod +x ~/.claude/hooks/skill-activator.sh
See hooks/README.md for full setup instructions.
See AGENTS.md for full compatibility information with various AI coding agents.
MIT License - see LICENSE for details.
Contributions welcome! Please read our contributing guidelines before submitting PRs.
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