tinybird
Tinybird configuration rules, SQL patterns, and optimization guidance for datasources, pipes, endpoints, and materialized views.
Works with
What it does
Covers 13 rule categories including project structure, datasource and pipe design, endpoint schemas, materialized views, copy pipes, connections, SQL best practices, and deduplication patterns
Emphasizes local files as source of truth, MergeTree as default table engine, and SELECT-only SQL with strict parameter handling
Provides optimization strategies: fil
Installation Guide
How to use tinybird on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- βΊCursor installed and configured on your machine
- βΊNode.js 16+ with npm β verify with
node --version - βΊActive project directory where you want to add
tinybird
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches tinybird from tinybirdco/tinybird-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate tinybird. Access via /tinybird in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Tinybird Best Practices
Guidance for Tinybird file formats, SQL rules, optimization patterns, and data modeling. Use this skill when creating or editing Tinybird datafiles.
When to Apply
- Creating or updating Tinybird resources (.datasource, .pipe, .connection)
- Writing or optimizing SQL queries
- Designing endpoint schemas and data models
- Working with materialized views or copy pipes
- Implementing deduplication patterns
- Reviewing or refactoring Tinybird project files
Rule Files
rules/project-files.mdrules/build-deploy.mdrules/datasource-files.mdrules/pipe-files.mdrules/endpoint-files.mdrules/materialized-files.mdrules/sink-files.mdrules/copy-files.mdrules/connection-files.mdrules/sql.mdrules/endpoint-optimization.mdrules/tests.mdrules/deduplication-patterns.md
Quick Reference
- Project local files are the source of truth.
- Build target comes from
tinybird.config.jsondev_mode(localorbranch). tb deploytargets Tinybird Cloud production.- Commands like
tb sqlandtb logsdefault to local unless--cloudor--branch=<branch-name>is set. - SQL is SELECT-only with Tinybird templating rules and strict parameter handling.
- Use MergeTree by default; AggregatingMergeTree for materialized targets.
- Filter early, select only needed columns, push complex work later in the pipeline.
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Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale