Curriculum teams need consistent skill levels, measurable outcomes, and coherent progression. This skill maps skills to CEFR, Bloom taxonomy, and DigComp levels with practical assessment guidance.

Teams need repeatable ways to capture domain workflows for AI agents. This skill guides Claude, Codex, and Claude Code through skill design, scaffolding, validation, and packaging.

AI sessions often solve problems once, then lose the lesson. This skill converts corrections, patterns, and validation gaps into reusable project knowledge.

Repeated AI prompts become hard to maintain when patterns stay informal. This skill helps turn proven prompts into reusable templates with clear parameters and success criteria.

Educational slide decks often become generic when prompts lack audience and learning context. This skill provides NotebookLM workflows and prompt structures for proficiency-calibrated chapter presentations.

Next.js projects can be hard to inspect across routes, components, and build settings. This skill connects to a DevTools MCP server and returns focused project diagnostics.

Educators often need objectives that are specific, measurable, and aligned with assessment. This skill turns topics into structured outcomes with Bloom levels, CEFR progression, prerequisites, and success criteria.

Educational teams need clear visuals that explain complex ideas without manual design rework. This skill guides Claude, Codex, or Claude Code through Gemini-based generation, quality checks, and lesson embedding.

Helm charts often become hard to operate when teams copy templates without architectural review. This skill guides Claude, Codex, and Claude Code through structured chart design decisions.

Generic AI interfaces often look interchangeable and lack product context. This skill guides Claude, Codex, and Claude Code toward polished frontend work with a clear visual direction.

Programming educators need practice sets that build retention, not only problem volume. This skill creates structured Python exercises with objectives, progression, tests, rubrics, hints, and review patterns.

Educational drafts are hard to judge consistently across technical accuracy, teaching quality, and structure. This skill applies a weighted rubric and compliance checklist to produce clear review findings and revision priorities.

Complex concepts often overwhelm learners when prerequisites, examples, and checkpoints are unclear. This skill helps Claude, Codex, and Claude Code create staged learning plans with cognitive load controls.

Many code examples show syntax without building understanding. This skill helps Claude, Codex, and Claude Code create examples with context, validation, and learner fit.

Documentation can drift when teams teach formats from memory instead of source examples. This skill guides Claude, Codex, and Claude Code to compare content with canonical project files before publication.

Large instructional books are hard to organize across chapters, exercises, and learning goals. This skill provides scaffolds, templates, and checks for coherent educational book planning.

Creating fair programming assessments takes time and often overuses recall questions. This skill designs varied questions, rubrics, answer keys, and validation checks aligned to learning goals.

Teaching with AI can weaken core skills when lessons lack structure. This skill helps educators design balanced programming lessons with AI collaboration and independent verification.

Accessibility issues can block users and create compliance risk. This skill helps Claude, Codex, and Claude Code review WCAG issues and produce practical fixes.

Project planning files can be missed when starting work in a repository. This skill directs Claude, Codex, and Claude Code to use conductor files for project context and task order.