new-dagster-asset — community new-dagster-asset, nephila, community, ide skills

v1.0.0

About this Skill

Perfect for Python-based AI Agents needing advanced workflow management and data pipeline capabilities with Dagster Add a new Dagster asset to the pipeline. Use when creating a Bronze, Silver, or Gold layer asset.

spideystreet spideystreet
[3]
[0]
Updated: 2/27/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
33
Canonical Locale
en
Detected Body Locale
en

Perfect for Python-based AI Agents needing advanced workflow management and data pipeline capabilities with Dagster Add a new Dagster asset to the pipeline. Use when creating a Bronze, Silver, or Gold layer asset.

Core Value

Empowers agents to declare and manage Dagster assets using Python, leveraging PipelineSettings for efficient data processing and asset dependencies, while utilizing asset layers such as bronze, silver, or gold

Ideal Agent Persona

Perfect for Python-based AI Agents needing advanced workflow management and data pipeline capabilities with Dagster

Capabilities Granted for new-dagster-asset

Declaring new Dagster assets for pharmacists to navigate drug shortages
Managing asset dependencies with upstream assets
Utilizing PipelineSettings for optimized data pipeline configuration

! Prerequisites & Limits

  • Requires Python environment
  • Dagster installation and configuration needed
  • Limited to Dagster asset management

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is new-dagster-asset?

Perfect for Python-based AI Agents needing advanced workflow management and data pipeline capabilities with Dagster Add a new Dagster asset to the pipeline. Use when creating a Bronze, Silver, or Gold layer asset.

How do I install new-dagster-asset?

Run the command: npx killer-skills add spideystreet/nephila. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for new-dagster-asset?

Key use cases include: Declaring new Dagster assets for pharmacists to navigate drug shortages, Managing asset dependencies with upstream assets, Utilizing PipelineSettings for optimized data pipeline configuration.

Which IDEs are compatible with new-dagster-asset?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for new-dagster-asset?

Requires Python environment. Dagster installation and configuration needed. Limited to Dagster asset management.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add spideystreet/nephila. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use new-dagster-asset immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

new-dagster-asset

Install new-dagster-asset, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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
    1@asset(group_name="<layer>", deps=["<upstream_asset>"]) 2def <asset_name>(context: AssetExecutionContext) -> None: 3 """One-line description.""" 4 settings = PipelineSettings() 5 # ... logic 6 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
    1uv run dotenv -f .env run -- uv run dagster asset list 2uv run dotenv -f .env run -- uv run dagster asset materialize --select <asset_name>

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