tinybird-agent-skills
💡 Summary
A set of AI agent skills providing Tinybird engineering best practices for project development and optimization.
🎯 Target Audience
🤖 AI Roast: “It's a rulebook for your AI, which is great, unless your AI prefers to learn by breaking rules.”
Primary risk is dependency supply chain: the skill package and its installation tool (`npx`) must be trusted. Mitigation: Verify the package source (tinybirdco) and consider auditing the installed rule files for any unexpected instructions before use.
Tinybird Agent Skills
A collection of skills for AI coding agents. Skills are packaged instructions that extend agent capabilities for working with Tinybird.
Skills follow the Agent Skills format.
Install with
npx skills add tinybirdco/tinybird-agent-skills
Available Skills
tinybird-best-practices
Tinybird project guidelines from Tinybird Engineering. Contains 18 rule files covering datasources, pipes, endpoints, SQL, deployments, and testing.
Use when:
- Creating or updating Tinybird resources (.datasource, .pipe, .connection)
- Working with queries, endpoints, or data exploration
- Managing Tinybird deployments, secrets, or tests
- Reviewing or refactoring Tinybird project files
Categories covered:
- Project structure and local development
- Datasource, pipe, and endpoint files
- SQL and query optimization
- Build and deploy workflows
- Testing and secrets management
Usage
Skills are automatically available once installed. The agent will use them when relevant tasks are detected. You can use the agent cli to check, e.g., amp skill list, or directly ask the agent to tell you what skills are available.
Examples:
- "Create a datasource for user events"
- "Optimize this endpoint for low latency"
- "Set up tests for my endpoints"
Skill Structure
Each skill contains:
SKILL.md- Instructions for the agentrules/- Individual guidance files
Pros
- Provides structured, expert-vetted guidelines.
- Easy to install and integrate into agent workflows.
- Covers a broad range of Tinybird development aspects.
Cons
- Passive utility; relies entirely on agent's initiative to apply rules.
- No active tooling or automation; it's purely advisory.
- Novelty is limited as it's a curated rule set, not an interactive skill.
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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author tinybirdco.
