skills.rest
Ameng2001
Ameng2001COMMUNITY
Explore all skills by this author →
GitHub

generate-tech-designs

Generate five technical infrastructure design documents from brainmap and SKILL.md inputs.

1|Updated Mar 27, 2026
Search Tags:#knowledge graph#MLOps#technical design#data warehouse#generate#RAG retrieval#architecture specs
One-click install
npx skills add https://github.com/Ameng2001/astra-studio-plugins --skill generate-tech-designs-ameng2001
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generate-tech-designs
Source: https://github.com/Ameng2001/astra-studio-plugins/tree/main/studio-platform/skills/generate-tech-designs
Command: npx skills add https://github.com/Ameng2001/astra-studio-plugins --skill generate-tech-designs-ameng2001

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates the slow, manual effort of turning planning artifacts into concrete technical infrastructure specifications, so your AI industry platform can be designed and implemented with fewer gaps and rework.

Core Features & Use Cases

  • Kimball data warehouse design: Produce dimensional modeling specs (ODS → DWD → DWS → DM → ADS) with dimensions, fact tables, ETL flow, quality rules, and capacity planning.
  • End-to-end data collection pipeline design: Define edge-to-cloud ingestion, protocols, processing stages, quality framework, monitoring, and privacy/compliance considerations.
  • AI infrastructure design suite: Generate knowledge graph ontology + extraction/reasoning plans, an ML model portfolio with MLOps governance, and a hybrid RAG retrieval system spec.

Quick Start

Ask the skill to generate all five technical design documents for your target output directory using your existing brainmap and agent-mapping planning files.

Frequently Asked Questions about generate-tech-designs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate technical design documents for an AI platform data warehouse?▼

Generate AI platform data warehouse design documents by scanning existing brainmap planning files to produce dimensional modeling specs spanning ODS to ADS layers, including fact tables, ETL flow, and capacity planning.

What is needed to design a knowledge graph architecture for an industry AI model?▼

Designing a knowledge graph architecture requires mapping brainmap modules into an ontology specification that defines extraction pipelines and reasoning plans for industry AI model platforms.

Can I generate MLOps and ML model portfolio specs from planning artifacts?▼

Yes, you can generate ML model portfolio specs with MLOps governance by translating agent capability mapping files into concrete infrastructure designs for your industry AI platform.

What's the best way to design a hybrid RAG retrieval system for a production AI platform?▼

The best way to design a hybrid RAG retrieval system is translating agent capability planning artifacts into concrete architecture specs covering retrieval pipelines and integration points.

How do I design end-to-end data collection pipelines for edge-to-cloud ingestion?▼

Design edge-to-cloud data collection pipelines by generating infrastructure specs that define ingestion protocols, processing stages, quality frameworks, monitoring, and privacy compliance rules.

Related Skills

Explore More Software Engineering Skills→
Ameng2001Ameng2001
1

generate-brainmap

Generate brainmap-index.md and brainmap-module-N.md files with Mermaid mindmaps.

Community
Advanced
Aniket-a14Aniket-a14
1

senior-data-engineer

Design production-grade data pipelines with Python, Spark, Airflow, dbt, and Kafka.

Community
Advanced
AeyeOpsAeyeOps
3

python-data-engineering

Automate API-to-PostgreSQL data pipelines with SQLAlchemy 2.0 patterns.

Official
Advanced
ryryoryryo
3

dev:ideation

Convert product ideas into structured specifications with JTBD analysis and SLC framing.

Community
Advanced