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ai-data-engineering
75 / 100 · Review before installing
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By ancoleman/ai-design-components (GitHub) · design · 530 stars · scanned at commit 76551b7
Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).
Works with any agent that supports SKILL.md skills.
What this skill can do
Runs commands on your computer
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Found in 8 places.
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Downloads and installs other software
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Found in 28 places.
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- skills/ai-data-engineering/SKILL.md, line 364
pip install feast - skills/ai-data-engineering/SKILL.md, line 367
pip install dagster dagster-webserver - skills/ai-data-engineering/SKILL.md, line 370
pip install lakefs-client - skills/ai-data-engineering/SKILL.md, line 377
pip install llama-index - skills/ai-data-engineering/SKILL.md, line 380
pip install dbt-core dbt-postgres - skills/ai-data-engineering/SKILL.md, line 383
pip install prefect - skills/ai-data-engineering/examples/dagster-pipelines/embedding_pipeline.py, line 442
1. Install Dagster: pip install dagster dagster-webserver - skills/ai-data-engineering/examples/dagster-pipelines/embedding_pipeline.py, line 453
pip install dagster dagster-webserver langchain-qdrant langchain-voyageai - skills/ai-data-engineering/examples/feast-features/README.md, line 8
pip install -r requirements.txt - skills/ai-data-engineering/examples/langchain-rag/README.md, line 10
pip install -r requirements.txt - skills/ai-data-engineering/examples/llamaindex-agents/README.md, line 8
pip install -r requirements.txt - skills/ai-data-engineering/references/data-versioning.md, line 151
pip install dvc[s3] # or [gs], [azure] - skills/ai-data-engineering/references/evaluation-metrics.md, line 189
pip install ragas datasets - skills/ai-data-engineering/references/feature-stores.md, line 119
pip install feast - skills/ai-data-engineering/references/langchain-patterns.md, line 46
pip install langchain-core langchain-openai langchain-qdrant - skills/ai-data-engineering/references/langchain-patterns.md, line 49
pip install langchain-core langchain-openai langchain-voyageai langchain-qdrant - skills/ai-data-engineering/references/langchain-patterns.md, line 52
pip install langchain-core langchain-anthropic langchain-qdrant
and 8 more places
Connects to the internet
The author does not mention this.
Found in 2 places.
Safer alternatives
Low-risk skills in the same category (design) that look related. Check that one does what you need.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'ai-data-engineering' ] || [ -L ~/.agents/skills/'ai-data-engineering' ]; then echo 'A skill folder named ai-data-engineering already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ancoleman/ai-design-components' "$d" && git -C "$d" checkout --quiet '76551b7b19ebc667764ec75da14990d0aef8b6e5' -- 'skills/ai-data-engineering' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/ai-data-engineering' ~/.agents/skills/'ai-data-engineering' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'ai-data-engineering' ~/.claude/skills/'ai-data-engineering' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
The badge for ancoleman/ai-design-components shows the score of its lowest-scoring skill.
[](https://zalavijaysinh.github.io/skilltrust/repos/ancoleman/ai-design-components/)
Score history
| Date | Version | Score |
|---|
| 2026-11-08 | 76551b7 | 100 |
| 2026-11-07 | 76551b7 | 55 |