Development88/100
brainstorming
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Databricks Execution Compute
Explore databricks execution compute as a development workflow from databricks/databricks-agent-skills. Compare its source, maintenance and review signals before choosing it for your agent.
What it does
This source provides a task-specific instruction workflow for Development. Its source file is linked below so you can inspect the exact procedure, tools and dependencies. A full editorial review has not been completed.
Best for
Exploring Development workflows with an agent. Confirm that the source matches your task and environment.
Tradeoffs and requirements
The automated catalog record does not establish task performance or runtime safety. Check supporting scripts and external services in the source before use.
Requires databricks CLI (>= v1.0.0)
Install from the source
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code; this catalog never runs it.
npx skills add https://github.com/databricks/databricks-agent-skills/tree/d50672205671c6d6edc847b1ddc36e7cba69bd32/skills/databricks-execution-compute --skill databricks-execution-computeReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Safety & review signals
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
- Shell Or Package Install — review the source context.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
AI Craft Pad Skill Score
74/100 · Metadata coverage 80% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
- Documentation
- 100/100
- Maintenance
- 100/100
- License Clarity
- 0/100
- Repository Health
- 85/100
- Compatibility Evidence
- 80/100
- Popularity
- 46/100
- Originality
- 80/100
- Static Safety
- 60/100
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