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ralph-dbt-scope Skill

AI Agent SkillPythonOpen source

Run the dbt-scope regression testing loop. Iteratively install, lint, build, test, and debug the dbt-scope adapter until all targets pass. Published by microsoft in dbt-scope.

What is ralph-dbt-scope Skill?

Run the dbt-scope regression testing loop. Iteratively install, lint, build, test, and debug the dbt-scope adapter until all targets pass. Published by microsoft in dbt-scope. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
15/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Testing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use ralph-dbt-scope Skill

  • Use it for testing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/dbt-scope
  • Skill file: .github/skills/ralph-dbt-scope/skill.md

What it does

Run the dbt-scope regression testing loop. Iteratively install, lint, build, test, and debug the dbt-scope adapter until all targets pass.

Skill instructions

dbt-scope Regression Testing Loop Iterative development loop to make the dbt-scope adapter bulletproof against regressions. --- CRITICAL: Fix Code First, Never Skip Tests NEVER git add or git commit, ANY changes you made will be reviewed, committed and pushed by a human. When tests fail, they represent REAL logic or integration issues. The failures are not noise — something is broken and needs a code fix. You MUST follow this order: 1. Analyze diffs — understand what changed (Step 0) 2. Run the full pipeline — .scripts/run.sh all (Step 1) 3. Fix failures — diagnose errors, fix code, re-run failing target (Step 2) 4. Confirm green — re-run all to verify no regressions (Step 3) 5. Signal completion — only after ALL targets are green (Step 4) NEVER emit { "status": "Succeeded" } if any target is still failing. Work through the failures systematically. --- The Job Execute the regression testing loop: analyze diffs → run full pipeline → fix failures → confirm all green → emit completion sig

Explore related resources

Frequently asked questions

What is ralph-dbt-scope?

ralph-dbt-scope is a open-source AI agent skill with Copy skill directory. Run the dbt-scope regression testing loop. Iteratively install, lint, build, test, and debug the dbt-scope adapter until all targets pass.

Who is ralph-dbt-scope best for?

ralph-dbt-scope is best for reusing agent instructions, scripts, and references, testing workflows.

How do I install ralph-dbt-scope?

Install or run ralph-dbt-scope using Copy skill directory. Check ralph-dbt-scope for the latest setup command.

Is ralph-dbt-scope actively maintained?

ralph-dbt-scope may need a closer maintenance check before production use.

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Stars
3
Forks
2
Last commit
10 days ago
Repository age
4 months
License
MIT

Auto-fetched from GitHub.

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