Apply constructivist learning theory to design instruction based on active knowledge construction, scaffolding, and the zone of proximal development. Use this skill when the user needs to design learner-centered instruction, apply Vygotsky's ZPD or scaffolding principles, or evaluate learning environments for constructivist alignment — even if they say 'how do people really learn', 'student-centered design', or 'scaffolding for learners'.
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-constructivism
Constructivism holds that learners actively construct knowledge through experience and social interaction rather than passively receiving it. Rooted in Piaget (cognitive constructivism) and Vygotsky (social constructivism), it emphasizes that learning is situated, social, and built on prior knowledge.
Trigger conditions:
When NOT to use:
IRON LAW: Learning Occurs in the Zone of Proximal Development
Instruction too far ABOVE current level is ineffective (frustration).
Instruction AT current level produces no growth (boredom).
Effective learning happens in the ZPD — the gap between what a learner
can do alone and what they can do with guidance:
1. Identify current developmental level
2. Provide scaffolding (temporary support)
3. Gradually remove scaffolding as competence grows (fading)
Identify what learners already know. Constructivism insists new knowledge is built ON existing schemas — without this assessment, instruction may miss or contradict prior understanding.
Create learning tasks situated in realistic contexts. Knowledge constructed in abstract, decontextualized settings transfers poorly.
Provide graduated support: modeling → coaching → prompting → fading. Match scaffolding intensity to the gap between current ability and task demands.
Facilitate collaborative learning, peer discussion, and negotiation of meaning. Knowledge is socially constructed through dialogue and shared activity.
# Constructivist Learning Design: {Topic/Course}
## Learner Analysis
- Prior knowledge: {what learners already know}
- Developmental level: {current capability}
- ZPD target: {what they can achieve with support}
## Learning Environment
- Authentic task: {real-world situated problem}
- Social interaction: {collaborative structures}
- Multiple perspectives: {how diverse viewpoints are included}
## Scaffolding Plan
| Phase | Support Level | Activities | Fading Strategy |
|-------|-------------|------------|-----------------|
| Initial | High | ... | ... |
| Developing | Medium | ... | ... |
| Advanced | Low | ... | ... |
## Assessment
- Process assessment: {how learning construction is evaluated}
- Authentic assessment: {performance in realistic contexts}
references/zpd-scaffolding.mdreferences/authentic-assessment.mdGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take asgard-ai-platform/grad-constructivism from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.