What problem does it solve?
Creating and maintaining high-quality Copilot prompts, instruction files, agents, subagents, and skills is error-prone: artifacts drift from best practices, reviews are subjective, and behavior changes ship untested. This Skill provides one evidence-backed lifecycle that creates, improves, refactors, replaces, reviews, or validates prompt-engineering artifacts with static review rubrics, behavior testing, and host validation gates.
Core Features & Use Cases
- Six lifecycle modes: create, improve, refactor, replace, review, and validate, each with stage gates, narrow write boundaries, and explicit Pass/Revise/Deferred/Blocked outcomes.
- Evidence-grounded quality standard: applies a ranked requirements catalog distilled from OpenAI, Anthropic, and Google prompting guidance, plus a bounded static-review rubric with severity-graded findings.
- Behavior testing and research delegation: routes Major mutations through the hve-builder-tester skill and all open-ended codebase exploration through the rpi-research bridge.
- Use Case: A team wants to add a new Copilot subagent for Terraform module review. The Skill selects the right artifact type, authors it against the requirements catalog, runs fresh-context static review, executes behavior tests, and returns a verdict with evidence logs.
Quick Start
Ask the agent to use the hve-builder skill to review the prompt file at .github/prompts/deploy.prompt.md against the requirements catalog and report severity-graded findings.