Agent skill

kp-applied-domain

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.

Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/kp-applied-domain

Metadata

Additional technical details for this skill

extensions
{
    "gsd-skill-creator": {
        "enabled": true,
        "version": 1,
        "triggers": {
            "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/**"
            ],
            "intents": [
                "applied.*pack",
                "(coding|data|language|psychology).*pack",
                "applied.*tier"
            ],
            "contexts": [
                "applied skills content",
                "practical subjects"
            ],
            "threshold": 0.7
        },
        "plan_origin": "244-chipset-agent-definitions",
        "phase_origin": "244",
        "token_budget": "1.0%"
    }
}

SKILL.md

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.

Expand your agent's capabilities with these related and highly-rated skills.

Didn't find tool you were looking for?

Be as detailed as possible for better results