luanmorenommacielluanmorenommacielCommunityยท5 Agent Skills Included

agentspec

Spec-driven data pipeline design, build, and quality gates

Guides data engineering work through a five-phase spec workflow: brainstorm, define, design, build, and ship. Routes each task to one of 58 specialist agents backed by 24 knowledge domains covering dbt, Spark, Airflow, SQL, and lakehouse architecture. Eliminates hallucinated SQL, wrong incremental strategies, and pipelines that pass in dev but break in production. Validates every phase document with contract linting and cross-model review before code ships.
npx skills add luanmorenommaciel/agentspec --all -g -y
Available:

Tells the agent how the repository's component layers (agents, skills, commands, knowledge bases) fit together and how to route work through the five-phase spec-driven workflow and its specialist agents.

All Skills in This Repository (5)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install AgentSpec?โ–ผ

Run `npx skills add luanmorenommaciel/agentspec --all -g -y` in your terminal to install the full skill set globally.

What is spec-driven data engineering?โ–ผ

It is a five-phase workflow (brainstorm, define, design, build, ship) where every pipeline decision is grounded in 24 knowledge base domains instead of guessed. Each phase produces a validated document with quality gates before the next begins.

How does AgentSpec prevent bad SQL and broken pipelines?โ–ผ

It routes work to specialist agents like sql-optimizer, dbt-specialist, and data-quality-analyst, then enforces contract linting and a cross-model judge before anything ships. Every recommendation is confidence-scored against real documentation.

Which data tools does AgentSpec cover?โ–ผ

Knowledge domains span dbt, Spark, Airflow, Kafka streaming, Iceberg and Delta lakehouses, Snowflake, Databricks, BigQuery, Microsoft Fabric, AWS, GCP, and Terraform.

Do I need to know the workflow commands to use it?โ–ผ

No. Describe your task in plain language and the agent-router automatically matches it to the right specialist agent and command, such as /pipeline, /schema, or /data-quality.

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