aasb-aas-data-engineering-platform
v19.6.0Install the "AAS Data Engineering Platform" workflow plugin from Agentic Awesome Skills.
By sickn33 and contributorsLicense: MIT47.5k GitHub starsUpdated last week
Directory evidence
- Runtimes
- Codex, Claude Code, and Agent Plugins
- Parsed components
- 11 skill or MCP entries
- Source updated
- Oct 13, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install aasb-aas-data-engineering-platform for Codex and Claude Code
codex plugin marketplace add sickn33/agentic-awesome-skills
codex plugin marketplace upgrade agentic-awesome-skills
codex plugin add aasb-aas-data-engineering-platform@agentic-awesome-skillsPaste and run these commands in a terminal with Codex. They add and refresh the agentic-awesome-skills catalog, then install this plugin.
Compatibility: the page URL and API slug “aasb-aas-data-engineering-platform” remain stable.
- Codex:
aasb-aas-data-engineering-platform@agent-plugin-marketplace→aasb-aas-data-engineering-platform@agentic-awesome-skills
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/sickn33/agentic-awesome-skillsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/agentic-bundle-aas-data-engineering-platform/.
Plugin files
├── .codex-plugin/plugin.json├── .claude-plugin/plugin.json├── plugin.json├── skills/airflow-dag-patterns/SKILL.md├── skills/data-engineer/SKILL.md├── skills/data-quality-frameworks/SKILL.md├── skills/database-architect/SKILL.md├── skills/dbt-transformation-patterns/SKILL.md├── skills/embedding-strategies/SKILL.md├── skills/postgres-best-practices/SKILL.md├── skills/rag-engineer/SKILL.md├── skills/sql-pro/SKILL.md├── skills/vector-database-engineer/SKILL.md└── skills/warehouse/SKILL.md
Included Skills11
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
Guide to selecting and optimizing embedding models for vector search applications.
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
Plan and review read-only data warehouse analysis with explicit scope, privacy, provenance, and validation checks.
Plugin manifests3
{
"name": "aasb-aas-data-engineering-platform",
"version": "19.6.0",
"description": "Install the \"AAS Data Engineering Platform\" workflow plugin from Agentic Awesome Skills.",
"author": {
"name": "sickn33 and contributors",
"url": "https://github.com/sickn33/agentic-awesome-skills"
},
"homepage": "https://github.com/sickn33/agentic-awesome-skills",
"repository": "https://github.com/sickn33/agentic-awesome-skills",
"license": "MIT",
"keywords": [
"codex",
"skills",
"bundle",
"aas-data-engineering-platform",
"productivity"
],
"skills": "./skills/",
"interface": {
"displayName": "AAS Data Engineering Platform",
"shortDescription": "Build data platforms with pipelines, dbt, Postgres, vector databases, embeddings, RAG data, SQL, and transforms.",
"longDescription": "Build data platforms with pipelines, dbt, Postgres, vector databases, embeddings, RAG data, SQL, and transforms. Build ingestion and transformation pipelines with data contracts and recovery planning, then validate warehouse analysis for grain and provenance. Recommended for: Data engineers, Analytics engineers, AI platform teams. Not for: Business analysis and dashboard interpretation as the main task: use Data Analytics, Using production data or changing pipelines without authorized access. Covers Data Engineer, Airflow DAG Patterns, and 9 more skills.",
"developerName": "sickn33 and contributors",
"category": "Specialized Product Plugins - Next Wave",
"capabilities": [
"Interactive",
"Write"
],
"websiteURL": "https://aaskills.tech/",
"privacyPolicyURL": "https://github.com/sickn33/agentic-awesome-skills/blob/main/PRIVACY.md",
"termsOfServiceURL": "https://github.com/sickn33/agentic-awesome-skills/blob/main/TERMS.md",
"brandColor": "#111827",
"defaultPrompt": [
"Inspect these sources, destination models and existing pipeline. Prepare the required ingestion or transformation change with schema contracts, data-quality checks, backfill and failure recovery. Add embeddings or vector storage only when retrieval requirements justify them.",
"Use this plugin to review this pipeline for reliability, transform quality, SQL modeling, and RAG readiness.",
"Use this plugin to plan an embeddings and vector database layer for this product dataset.",
"Review this project for the added coverage: Review read-only warehouse analysis for grain, privacy and provenance. Use only the relevant skills and existing stack. Report observed checks and limitations; prepare drafts before external or production actions."
]
}
}{
"name": "agentic-bundle-aas-data-engineering-platform",
"version": "19.6.0",
"description": "Editorial \"AAS Data Engineering Platform\" bundle for Claude Code from Agentic Awesome Skills.",
"author": {
"name": "sickn33 and contributors",
"url": "https://github.com/sickn33/agentic-awesome-skills"
},
"homepage": "https://github.com/sickn33/agentic-awesome-skills",
"repository": "https://github.com/sickn33/agentic-awesome-skills",
"license": "MIT",
"keywords": [
"claude-code",
"skills",
"bundle",
"aas-data-engineering-platform",
"agentic-awesome-skills"
]
}{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "agentic-bundle-aas-data-engineering-platform",
"version": "19.6.0",
"description": "Portable skills-only \"AAS Data Engineering Platform\" plugin from Agentic Awesome Skills.",
"author": {
"name": "sickn33 and contributors",
"url": "https://github.com/sickn33/agentic-awesome-skills"
},
"homepage": "https://github.com/sickn33/agentic-awesome-skills",
"repository": "https://github.com/sickn33/agentic-awesome-skills",
"license": "MIT",
"keywords": [
"agent-plugins",
"agent-skills",
"bundle",
"aas-data-engineering-platform",
"agentic-awesome-skills"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[aasb-aas-data-engineering-platform on Agent Plugins Marketplace](https://pluginsmp.com/plugins/aasb-aas-data-engineering-platform)