Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.
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
! 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.
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.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
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
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1. Open your terminal
Open the terminal or command line in your project directory.
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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.
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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.
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.