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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.