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SignalPilot.Ai Labs

Official

@signalpilot-labs · United States of America

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21Public Repos
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22Published Skills

Building the best context aware, data and metric analysis agents

Skills Distribution
DomainData Systems...Analytics Engineer.. (40%)SQL Optimization (30%)Data Governance (30%)

Agent Skills by SignalPilot.Ai Labs

Showing 22 vetted skills indexed across 1 GitHub repositories.

SignalPilot-LabsSignalPilot-Labs
475

domain-media

Guide SQL table usage and join strategies for media data modeling.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

domain-healthcare

Codify encounter-based grain, clinical code hierarchies, and NULL semantics for healthcare analytics.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

domain-product

Enforce domain-product analytics modeling rules in dbt models.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

dbt-write

Enforce dbt write patterns for column naming and type preservation.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

domain-ecommerce

Clarify the ecommerce transaction lifecycle and metric definitions to prevent misreporting.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

domain-financial

Enforce financial reporting rules for double-entry ledgers and fiscal year calculations.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

dbt-versioning

Automate dbt model versioning with versions blocks and ref() resolution.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

signalpilot

Provide governed read-only database access workflows for dbt and SQL.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

write-report

Generate a self-contained HTML report documenting dbt project decisions and verifier results.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

sql-workflow

Guide schema exploration and verification before writing SQL queries.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

snowflake-sql

Optimize Snowflake SQL queries with QUALIFY, ILIKE, and LATERAL FLATTEN patterns.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

dbt-knowledgebase

Propose structured dbt knowledge entries across six categories via propose_knowledge.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

dbt-debugging

Diagnose and fix common dbt run and parse errors.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

sqlite-sql

Write SQLite queries demonstrating patterns for strings, dates, types, and aggregation.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

dbt-workflow

Automates the 8-step dbt workflow from project scan to verification for analytics data pipelines.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

knowledge-base

Convert exploratory research into a formal technical specification document.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

domain-marketing

Codify attribution models, funnel order, and spend sign conventions for unified marketing KPIs.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

dbt-testing

Define dbt model unit tests in YAML with given and expect blocks.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

bigquery-sql

Provide BigQuery SQL patterns for nested and partitioned data.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

domain-hr

Apply HR/ops rules to filter SCD current records and compute closed-issue resolution metrics in analytics pipelines.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

dbt-snapshots

Manage dbt snapshots for SCD Type 2 with strategy selection and validation.

Official
Advanced
SignalPilot-LabsSignalPilot-Labs
475

duckdb-sql

Identify and resolve DuckDB-specific SQL differences from PostgreSQL and MySQL syntax.

Official
Intermediate

Frequently Asked Questions About SignalPilot.Ai Labs

FAQPage Schema
What specific analytics tasks does SignalPilot Labs enable?

SignalPilot Labs enables standardized dbt model versioning, unit testing, and schema verification. It provides domain-specific modeling rules for healthcare, financial, and marketing datasets, ensuring consistent metric definitions and preventing misreporting in complex analytics environments.

Which personas benefit most from these data modeling capabilities?

Analytics engineers, data warehouse architects, and business intelligence developers benefit from these capabilities. The system is designed for professionals managing large-scale dbt projects who require strict adherence to naming conventions, type preservation, and governed database access.

What are the prerequisites for implementing these data modeling standards?

Implementation requires an existing dbt project environment and access to a supported data warehouse such as Snowflake, BigQuery, or DuckDB. Users must have established dbt project structures to integrate the provided verification, testing, and documentation patterns.