--- name: kp-applied-domain description: "Domain knowledge for 10 applied subjects: computer science, data science, world languages, psychology, environmental science, nutrition, economics, creative writing, logic, digital literacy. Use when generating Applied & Practical tier pack content." metadata: extensions: gsd-skill-creator: triggers: intents: - "applied.*pack" - "(coding|data|language|psychology).*pack" - "applied.*tier" files: - "src/knowledge/packs/code-101/**" - "src/knowledge/packs/data-101/**" - "src/knowledge/packs/lang-101/**" - "src/knowledge/packs/psych-101/**" - "src/knowledge/packs/envr-101/**" - "src/knowledge/packs/nutr-101/**" - "src/knowledge/packs/econ-101/**" - "src/knowledge/packs/writ-101/**" - "src/knowledge/packs/log-101/**" - "src/knowledge/packs/diglit-101/**" contexts: - "applied skills content" - "practical subjects" threshold: 0.7 token_budget: "1.0%" version: 1 enabled: true plan_origin: "244-chipset-agent-definitions" phase_origin: "244" --- # Applied Domain ## Purpose Provides domain expertise for the 10 Applied & Practical tier packs. These are practical skills that build on core academic foundations: computer science, data science, world languages, psychology, environmental science, nutrition, economics, creative writing, logic, and digital literacy. Each subject emphasizes hands-on application and real-world relevance. ## Capabilities - Subject-specific learning outcome hierarchies for 10 applied subjects - Cross-subject prerequisite mapping to core tier (e.g., CODE-101 depends on MATH-101, PROB-101) - Grade-level complexity scaling with emphasis on middle school through college - Applied activity types (coding projects, data analysis labs, language immersion exercises, field studies) - Assessment methods emphasizing portfolio and project-based evaluation - Resource curation with emphasis on interactive tools and practice environments ## Subject Coverage | Subject | Pack ID | Key Domains | |---------|---------|-------------| | Computer Science | CODE-101 | Programming, algorithms, data structures, software engineering | | Data Science | DATA-101 | Data wrangling, visualization, ML basics, statistical modeling | | World Languages | LANG-101 | Language acquisition, grammar, culture, communication | | Psychology | PSYCH-101 | Development, cognition, behavior, mental health | | Environmental Science | ENVR-101 | Ecology, climate, conservation, sustainability | | Nutrition | NUTR-101 | Macronutrients, meal planning, food science, health | | Economics | ECON-101 | Supply/demand, markets, personal finance, macro/micro | | Creative Writing | WRIT-101 | Literature analysis, creative writing, rhetoric, genre | | Logic | LOG-101 | Propositional logic, predicate logic, proofs, paradoxes | | Digital Literacy | DIGLIT-101 | Information evaluation, digital citizenship, online safety | ## Dependencies - kp-content-authoring skill for file structure and templates - Pack runtime schemas for validation - Core academic packs as prerequisites (MATH-101, READ-101, PROB-101, COMM-101) ## Token Budget Rationale 1.0% budget covers the domain knowledge reference for 10 subjects. The skill provides subject-specific guidance (not full content) -- the actual content is generated in context using the authoring templates.