Gsd-skill-creator kp-content-authoring

Generates knowledge pack content suites: vision documents, modules YAML, activities JSON, assessment frameworks, resource catalogs, and .skillmeta files. Shared by all 3 tier-specific author agents. Use when creating or updating pack content files.

install
source · Clone the upstream repo
git clone https://github.com/Tibsfox/gsd-skill-creator
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/Tibsfox/gsd-skill-creator "$T" && mkdir -p ~/.claude/skills && cp -r "$T/infra/packs/knowledge/skills/kp-content-authoring" ~/.claude/skills/tibsfox-gsd-skill-creator-kp-content-authoring && rm -rf "$T"
manifest: infra/packs/knowledge/skills/kp-content-authoring/SKILL.md
source content

Content Authoring

Purpose

Provides the content generation methodology for all 35 knowledge packs. This is the shared authoring skill loaded by KP-02 (core), KP-03 (applied), and KP-04 (specialized). It defines the pack file structure, content templates, quality standards, and parallel instruction patterns that enable token caching across packs.

Capabilities

  • Vision document generation following PACK-TEMPLATE.md structure (~40 pages per pack)
  • Modules YAML with learning outcomes, topics, grade levels, time estimates, and prerequisite chains
  • Activities JSON with grade-appropriate hands-on activities per module
  • Assessment framework with rubric levels (Beginning, Developing, Proficient, Advanced)
  • Resource catalog with categorized links by audience and grade level
  • .skillmeta YAML generation with full KnowledgePackSchema compliance
  • Grade level spanning: PreK through College+ with appropriate content differentiation
  • Learning pathway support: Maker, Academic, Curiosity, Social, Parent-Guided

Parallel Instruction Patterns (NFR-06)

The following instruction sections are identical across all 35 packs and should be cached:

  1. Pack file structure template -- the 6-file directory layout is the same for every pack
  2. Vision document skeleton -- section headings (Vision, Problem Statement, Core Concepts, Skill Tree, Modules, Assessment Framework, Parent Guidance, Resources) are reused
  3. Modules YAML schema -- PackModuleSchema structure with time_estimates, prerequisite_modules, activities sub-objects
  4. Activities JSON schema -- PackActivitySchema with grade_range, duration_minutes, materials, learning_objectives
  5. Assessment rubric template -- 4-level rubric (Beginning, Developing, Proficient, Advanced) with formative/summative sections
  6. Resource catalog template -- categorized sections (Young Learners, Older Learners, Parents, Deeper Study)
  7. .skillmeta boilerplate -- common fields (version, status, copyright, gsd_integration, accessibility stubs, translation stubs)
  8. Grade level bands -- Foundation (PreK-K), Elementary (1-5), Middle School (6-8), High School (9-12), College (13-16)

These 8 patterns are loaded once and reused across all pack generation sessions, reducing per-pack token overhead by ~60%.

Key Modules

ModulePurpose
src/knowledge/types.ts
Zod schemas defining pack data structures
src/knowledge/skillmeta-parser.ts
Validates generated .skillmeta against KnowledgePackSchema
src/knowledge/vision-parser.ts
Validates generated vision documents
src/knowledge/activity-loader.ts
Validates generated activities JSON
src/knowledge/assessment-loader.ts
Validates generated assessment markdown
src/knowledge/resource-loader.ts
Validates generated resource catalogs

Usage Examples

Generate a pack content suite:

For each pack (e.g., MATH-101):
1. Create src/knowledge/packs/math-101/ directory
2. Write vision.md using pack-specific content + shared template sections
3. Write modules.yaml matching ModulesFileSchema
4. Write activities.json as PackActivity[] array
5. Write assessment.md with 4-level rubric
6. Write resources.md with categorized links
7. Write .skillmeta matching KnowledgePackSchema

Apply parallel instruction patterns:

Before generating any pack, load:
- Pack file structure template (shared)
- Vision document skeleton (shared)
- Modules YAML schema (shared)
- Activities JSON schema (shared)
- Assessment rubric template (shared)
- Resource catalog template (shared)
- .skillmeta boilerplate (shared)
- Grade level bands (shared)
Then inject pack-specific: subject content, domain activities, subject-specific resources

Dependencies

  • Pack runtime API (src/knowledge/) for schema validation
  • Domain-specific skill (core, applied, or specialized) for subject matter knowledge
  • Pack template structure from delivery package

Token Budget Rationale

2.0% budget reflects the comprehensive authoring methodology covering 6 file types, 8 parallel instruction patterns, and the pack generation workflow. This is the largest knowledge pack skill because it provides the reusable templates that reduce per-pack generation cost. Shared across 3 agents but loaded once per session.