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agilab-example-maturity

Audit AGILAB packaged examples for external-beta readiness and deterministic behavior.

19|2|Updated Mar 14, 2025
Search Tags:#testing#documentation#quality#agilab#example-maturity#external-beta
One-click install
npx skills add https://github.com/ThalesGroup/agilab --skill agilab-example-maturity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agilab-example-maturity
Source: https://github.com/ThalesGroup/agilab/tree/main/.claude/skills/agilab-example-maturity
Command: npx skills add https://github.com/ThalesGroup/agilab --skill agilab-example-maturity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Improve or review AGILAB packaged examples to external-beta maturity, ensuring readability, deterministic behavior, and testable quality across programs and docs. This skill helps maintainers elevate examples to external-beta readiness.

Core Features & Use Cases

  • Establish clear quality gates for AGILAB packaged examples, including readability, determinism, and developer-friendly setup.
  • Provide guidance for planning edits, testing, and maintenance to keep external-beta readiness.
  • Use cases include auditing src/agilab/examples, example READMEs, and app installer seeds to raise the maturity bar.

Quick Start

Plan edits with plan-before-code, run agilab-testing to validate scope, and maintain external-beta readiness.

Frequently Asked Questions about agilab-example-maturity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I ensure my packaged examples are ready for an external beta release?▼

To ensure external beta readiness, audit your packaged examples for readability, deterministic first-run behavior, and proper testing. Validate your example install scripts, READMEs, and app installer seeds to align with public API usage and newcomer-safe adaptation.

What are the quality gates for maintaining example maturity in educational repositories?▼

Quality gates for example maturity include enforcing plan-before-code workflows, validating scope with agilab-testing, and ensuring deterministic behavior. These gates guarantee that src/agilab/examples remain readable, testable, and aligned with pedagogy.

How do I audit example READMEs and install scripts for deterministic behavior?▼

Audit example READMEs and install scripts by checking for deterministic first-run behavior and proper public API usage. Apply repo-skill-maintenance workflows to verify that setup processes are developer-friendly, newcomer-safe, and free of non-deterministic outputs.

Does improving example maturity require specific testing workflows for app installer seeding?▼

Yes, improving example maturity requires agilab-testing workflows to validate scope and ensure deterministic app installer seeding. This testing guarantees that the packaged examples behave predictably and remain aligned with the intended public API usage.

What is the best way to align packaged example code with pedagogy and public API usage?▼

The best way to align packaged examples with pedagogy is applying a plan-before-code workflow before editing src/agilab/examples. This approach ensures that code modifications maintain readability, proper testing, and newcomer-safe adaptation for external-beta readiness.

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