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/kp-quality-review

Reviews knowledge pack quality: educational accuracy, grade-level appropriateness, accessibility compliance, learning pathway coherence, assessment alignment, and parallel instruction pattern conformance. Use when reviewing pack content after validation.

From plugin
gsd-skill-creator
71102 skills61 agents26 commands1 MCP

Claude Code

$ npx -y skills add Tibsfox/gsd-skill-creator --skill kp-quality-review --agent claude-code

SKILL.md

kp-quality-review.SKILL.md
name: kp-quality-review
description: "Reviews knowledge pack quality: educational accuracy, grade-level appropriateness, accessibility compliance, learning pathway coherence, assessment alignment, and parallel instruction pattern conformance. Use when reviewing pack content after validation."
metadata:
  extensions:
    gsd-skill-creator:
      triggers:
        intents:
          - "pack.*review"
          - "pack.*quality"
          - "education.*review"
          - "accessibility.*check"
        files:
          - "src/knowledge/packs/**/.skillmeta"
          - "src/knowledge/packs/**/vision.md"
        contexts:
          - "pack quality review"
          - "educational review"
        threshold: 0.7
      token_budget: "1.0%"
      version: 1
      enabled: true
      plan_origin: "244-chipset-agent-definitions"
      phase_origin: "244"

Quality Review

Purpose

Reviews pack content for educational quality beyond schema compliance. The KP-06 reviewer agent uses this skill to assess educational accuracy, grade-level appropriateness, accessibility compliance, learning pathway coherence, and assessment alignment with stated learning outcomes. Also verifies that parallel instruction patterns (NFR-06) are consistently applied across packs for token caching optimization.

Capabilities

  • Educational accuracy review: content factually correct, age-appropriate, culturally sensitive
  • Grade-level appropriateness: activities match stated grade ranges, complexity scales properly
  • Accessibility compliance: .skillmeta includes accessibility metadata fields, content is screen-reader-friendly
  • Learning pathway coherence: module prerequisites form a valid DAG, pathways cover all learning styles
  • Assessment alignment: rubric criteria map to stated learning outcomes, formative/summative balance
  • Parallel instruction pattern conformance: packs use shared template structure for caching (NFR-06)
  • Cross-pack consistency: similar subjects use consistent terminology, formatting, and structure
  • Content completeness: vision docs cover all required sections, activities span all grade levels

Review Checklist

1. Vision document has Vision, Problem Statement, Core Concepts, Modules, Assessment, Parent Guidance sections 2. Modules YAML has correct prerequisite ordering (no forward references within pack) 3. Activities span at least 3 of 5 learning pathways (Maker, Academic, Curiosity, Social, Parent-Guided) 4. Assessment rubric has all 4 levels (Beginning, Developing, Proficient, Advanced) 5. Resources are categorized by audience and include at least 3 categories 6. .skillmeta grade_levels cover Foundation through at least High School 7. Parallel instruction patterns are followed (shared sections use template format) 8. Accessibility stubs present in .skillmeta 9. Translation stubs present in .skillmeta

Dependencies

  • kp-content-validation skill must pass first (validator is the gate)
  • Pack runtime API for structured access to pack content

Token Budget Rationale

1.0% budget covers the review methodology, checklist, and quality criteria. The reviewer reads pack content but does not hold validation engine internals, keeping context focused on quality dimensions.

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@tibsfox
Ships withgsd-skill-creator

An adaptive learning and coprocessor architecture for Claude Code, built as an extension to GSD (open-gsd)

71102 skills61 agents1 MCP
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Stars on GitHub

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Questions about kp-quality-review.

Which coding agents can use kp-quality-review?
kp-quality-review installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.