apastra-scaffold
Apastra Scaffold
Quickly generate new PromptOps files. All generated files follow the apastra schemas and will pass validation.
When to Use
Use this skill when you want to:
- Create a new prompt spec for a new use case
- Add test cases for an existing prompt
- Create an evaluator for a new scoring rule
- Set up a new suite tying everything together
Scaffolding a Prompt Spec
When asked to create a new prompt (e.g., "scaffold a prompt for email classification"):
Create promptops/prompts/<id>.yaml:
More from bintzgavin/apastra
apastra
PromptOps skills for versioning, evaluating, and shipping AI prompts as disciplined software assets. Agent-as-harness — your IDE agent runs evals, compares baselines, and gates quality.
10apastra-validate
Validate all promptops files against JSON schemas. Catch formatting errors before running evaluations.
5apastra-baseline
Establish and manage evaluation baselines for regression detection. A baseline is a known-good scorecard that future runs are compared against.
5apastra-eval
Run prompt evaluations using your IDE agent as the harness. Load suites, execute test cases, score results, and compare against baselines.
5apastra-getting-started
Quick setup guide for apastra PromptOps. Create your first prompt spec, dataset, evaluator, and suite in 5 minutes.
5apastra-setup-ci
Upgrade from local-first evaluation to automated GitHub Actions CI. Installs workflows for PR gating, release promotion, and auto-merge.
4