Spanora Setup Agent Skill
0The Spanora Setup Agent Skill guides users through integrating Spanora AI observability into their projects. It is designed for developers looking to enhance LLM monitoring and tracking in their applications.
000Updated 3w ago
AI Integration
Quick InstallView Source
$ npx skills add https://github.com/spanora/skills --skill spanora-setupOverview
About This Skill
The Spanora Setup Agent Skill automates the integration of Spanora AI observability into your project, supporting JavaScript/TypeScript and Python environments. It detects your project language and installed AI SDKs—including Vercel AI, Anthropic, OpenAI, and LangChain—then configures the optimal integration pattern automatically. The skill guides you step-by-step through setup, from API key configuration to instrumenting LLM call sites, ensuring every AI execution produces a trace for full observability. Ideal for developers building AI agents and applications who need to monitor LLM performance, track costs, and gain insight into agent behavior without manual configuration.
How to Use
Install the skill using `npx skills add https://github.com/spanora/skills --skill spanora-setup`
Use Cases
Add Spanora for AI observability
Setup LLM monitoring easily
Track AI costs with Spanora
Instrument agents for performance insights
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/spanora/skills --skill spanora-setupAlternative Install (Git Clone)
git clone https://github.com/spanora/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
📝
No Examples Available
Check the GitHub repository or documentation for usage examples.
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