AINativeBook

Produces a complete structural analysis of the IntelliStack codebase — modules, API surface, database schema, auth flows, and RAG pipeline — as a human-readable export map that any developer can use as a migration blueprint regardless of their target framework.

Migrates the IntelliStack Better-Auth OIDC authentication system to any target auth framework, preserving OAuth flows, session management, role/permission model, and JWT claim structure.

Migrates IntelliStack FastAPI routers, services, and Pydantic schemas to any target backend framework while preserving every business rule, auth guard, and error contract.

Converts IntelliStack's SQLAlchemy 2.0 models and Alembic migrations to any target ORM or database toolkit, preserving the full schema, indexes, relationships, and cascade rules.

Generates typed API clients and frontend integration code for any framework consuming the IntelliStack REST API, including auth flows, learning path UI, chatbot UI, and admin dashboards.

Re-implements the IntelliStack RAG pipeline (Qdrant + Cohere + OpenAI SSE) in any target language or framework, preserving hybrid retrieval, reranking, citation architecture, and stage-based access control.

Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives with meaningful distractors based on common misconceptions. Activate when educators design quizzes, exams, or tests measuring understanding; need questions at appropriate cognitive levels (Bloom's taxonomy); want balanced cognitive distribution (60%+ non-recall); or require rubrics for open-ended questions. Generates MCQs with diagnostic distractors, code-writing prompts, debugging challenges, and project-based assessments targeting deep understanding.

Performs comprehensive deep analysis of entire codebase and deployment pipeline to identify issues in production environment. Conducts systematic investigation across architecture, authentication, file connections, deployment, CI/CD, and stability.

This skill should be used when scaffolding complex concepts for learners. It applies cognitive load architecture principles to break down concepts into digestible pieces while respecting learning science limits.

This skill should be used when generating images for educational content. It provides multi-turn reasoning partnership methodology with Gemini for professional quality visual generation.

Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use this skill when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather than vague. This skill helps break down complex topics into progressively building learning goals with clear assessment methods and success criteria.

Perform deep root cause analysis and create structured remediation plans for broken codebases with multiple unstable features. Follow a 5-phase framework: deep analysis, structured roadmap, controlled execution, system hardening, and validation.

Complete project architecture and structure guide. Use when exploring the codebase, understanding project organization, finding files, or needing comprehensive architectural context. Triggers on architecture questions, directory navigation, or project overview needs.

Generates production-grade, framework-appropriate automated test suites that maximize correctness, reliability, maintainability, and coverage. Detects programming languages, selects optimal testing frameworks, creates separated test architecture, and implements comprehensive test patterns for functional behavior, edge cases, invalid inputs, exception handling, and boundary analysis.

This skill should be used when creating visual assets for educational content. It provides professional creative brief methodology to activate reasoning mode for distinctive, pedagogically effective visuals.