course-quality-assurance

name	course-quality-assurance
description	Structured course QA: completeness checks, consistency review, pedagogical review, lab readiness checks, artifact coverage, issue logging, or release readiness assessment.
license	Proprietary
compatibility	Designed for OpenCode. Assumes repo-local `.opencode/skills` discovery and standard read/edit/bash tools; optional scripts should run through a repo-local uv environment; requires uv and Python 3.11+.
metadata	{"pack":"opencode-course-skills"}

Purpose

Audit the quality of a course project before release or before the next production stage.

QA dimensions

Review along these axes:

• scope completeness
• structural consistency
• learning-objective alignment
• content clarity
• lab executability
• learner/instructor material separation
• formatting and naming consistency
• release readiness

Issue classification

Tag issues as one or more of:

• blocker
• major
• minor
• suggestion

And also by class:

• factual
• structural
• pedagogical
• operational
• formatting

QA output structure

# QA Review

## Scope reviewed
## Findings summary
## Detailed issues
## Risk assessment
## Release recommendation

Review behavior

• Cite the artifact or section where each issue appears.
• Prefer evidence-based findings over vague quality opinions.
• Distinguish between “not ideal” and “not releasable”.

Gotchas

• Do not convert QA into silent editing.
• Do not file cosmetic nits as blockers.
• Do not approve release if critical labs are unverified.
• Do not overlook cross-file inconsistency.

See:

• assets/qa-checklist.md
• references/severity-model.md