dlt-hubdlt-hubOfficialΒ·15 Agent Skills Included

dlt

Load data from any source into any database with Python

Loads data from REST APIs, SQL databases, files, and DataFrames into 20+ destinations like DuckDB, BigQuery, and Snowflake. Handles schema inference, pagination, credentials, and schema drift automatically so you skip writing boilerplate ETL code. Includes agent skills for code reviews, issue fixes, release notes, and performance optimization to speed up data pipeline work.
npx skills add dlt-hub/dlt --all -g -y
Available:

Gives your AI agent the repository's core principles, branching workflow, and strict commit message rules so it writes code and commits that match the project's standards.

All Skills in This Repository (15)

Pure Emerald Level Indicators
πŸ“¦ In Repo
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dashboard

Inspect dlt dashboard modules, routes, and UI components in the marimo-based codebase.

Official
Advanced
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create-worktree

Create and manage isolated git worktrees under .worktrees for PRs and branches.

Official
Intermediate
πŸ“¦ In Repo
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switch-worktree

Switch the current session to a specified Git worktree.

Official
Intermediate
πŸ“¦ In Repo
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auto-import-rules

Enforce Python import ordering and relative import restrictions in dlt projects.

Official
Intermediate
πŸ“¦ In Repo
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auto-write-test-rules

Generates missing test rules for new test cases based on project standards.

Official
Intermediate
πŸ“¦ In Repo
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release-notes

Aggregate commits and PR metadata between two git tags into categorized release notes.

Official
Advanced
πŸ“¦ In Repo
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worktree-make-dev

Run setup_worktree_env.sh to configure a development worktree and copy secrets.

Official
Intermediate
πŸ“¦ In Repo
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auto-docstring-rules

Enforce Google-style Python docstrings and inline field documentation.

Official
Intermediate
πŸ“¦ In Repo
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worktree-from-issue

Create a git worktree and per-issue branch for a GitHub issue.

Official
Advanced
πŸ“¦ In Repo
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review-pr

Analyze GitHub pull requests with diffs, comments, issues, and local code context.

Official
Advanced
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optimize-code

Optimize Python code in critical paths via benchmarking and validation against baselines.

Official
Advanced
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implement-issue

Triage, plan, and implement GitHub issue fixes with validation steps.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install dlt?β–Ό

Run `npx skills add dlt-hub/dlt --all -g -y` in your terminal to install all skills in this suite globally.

What does dlt do?β–Ό

dlt is a Python library that extracts data from APIs, databases, and files, then loads it into warehouses like DuckDB, BigQuery, or Snowflake with automatic schema handling.

How to load a REST API into a database with dlt?β–Ό

Describe the API endpoints declaratively, point a pipeline at your destination, and call pipeline.run() β€” dlt manages pagination, typing, and table creation for you.

Does dlt work with AI coding agents?β–Ό

Yes. dlt is built for LLM-based agents and ships skills for pull request reviews, issue implementation, and release notes that run in Claude Code, Cursor, and similar tools.

Can I use dlt without data engineering experience?β–Ό

Yes. You write a few lines of plain Python and dlt handles credentials, schema drift, and destination-specific SQL behind the scenes.

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