new-dagster-asset
Add a new Dagster asset to the pipeline. Use when creating a Bronze, Silver, or Gold layer asset.
14 stars
Best use case
new-dagster-asset is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Add a new Dagster asset to the pipeline. Use when creating a Bronze, Silver, or Gold layer asset.
Teams using new-dagster-asset should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/new-dagster-asset/SKILL.md --create-dirs "https://raw.githubusercontent.com/spideystreet/medox/main/.claude/skills/new-dagster-asset/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/new-dagster-asset/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How new-dagster-asset Compares
| Feature / Agent | new-dagster-asset | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Add a new Dagster asset to the pipeline. Use when creating a Bronze, Silver, or Gold layer asset.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Skill: Add a New Dagster Asset
## Steps
1. **Choose the layer file**: `asset_bronze.py`, `asset_silver.py`, or `asset_gold.py`.
2. **Declare the asset**:
```python
@asset(group_name="<layer>", deps=["<upstream_asset>"])
def <asset_name>(context: AssetExecutionContext) -> None:
"""One-line description."""
settings = PipelineSettings()
# ... logic
context.add_output_metadata({"key": "value"})
```
3. **File naming**: follow `<type>_<function>.py` for any new utility files.
4. **Resources** (e.g. `DbtCliResource`): declare in function signature, already registered in `definitions.py`.
5. **Register**: `load_assets_from_modules` in `definitions.py` picks up the asset automatically if it's in the right module.
6. **Validate**:
```bash
uv run dotenv -f .env run -- uv run dagster asset list
uv run dotenv -f .env run -- uv run dagster asset materialize --select <asset_name>
```Related Skills
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.