Technical content often contains hidden barriers like gatekeeping language, undefined jargon, and mismatched reading levels. This skill systematically reviews content through a reasoning lens, identifying accessibility issues before learners encounter them.

Creating lesson summaries manually takes time and risks missing key insights. This skill uses a proven Socratic questioning framework to consistently extract core concepts, mental models, and practical patterns from any lesson file.

Claude skills need specialized structure to work effectively. This skill provides a proven framework for creating, validating, and packaging skills that extend Claude with domain knowledge, workflows, and tool integrations.

Creating assessment questions that test understanding requires significant effort. This skill provides a structured methodology to generate 50 college-level conceptual questions with balanced answer distribution, equal-length options, and immediate feedback explanations.

Creating chapter slides is time-consuming and often produces generic, text-heavy presentations. This skill provides proficiency-calibrated prompts for NotebookLM to generate pedagogically-aligned slide decks with clear narrative arcs and actionable endings.

Educators struggle to write specific, testable learning outcomes. This skill generates measurable objectives aligned with Bloom's taxonomy and CEFR levels, ensuring learners know exactly what they will achieve and how success will be measured.

Educators spend hours creating varied exercises that apply cognitive science principles. This skill generates complete exercise sets with retrieval practice, spaced repetition, and difficulty progression using templates and evidence-based learning strategies.

Deploying Docusaurus documentation to GitHub Pages requires configuring build settings, GitHub Actions workflows, and deployment branches. This skill automates the entire process with pre-validated templates and local testing before CI/CD triggers.

Documentation requests consume excessive tokens. This skill uses Context7 MCP with intelligent shell pipeline filtering to extract only code examples and API signatures, reducing token usage by 86.8% while preserving all essential information.

Content creators need systematic, objective quality assessment to improve educational materials. This skill provides a 6-category weighted rubric with evidence-based scoring to consistently evaluate and improve book chapters and lessons.

Teaching code requires more than syntax demonstration. This skill generates production-relevant examples using reasoning-driven pedagogy that activates understanding through spec-first, show-then-explain patterns.

Educational content often drifts from canonical patterns over time. This skill compares lesson content against authoritative sources to ensure students learn correct formats that match platform conventions.

Planning large educational books is challenging without structure. This skill provides templates, patterns, and validation tools to scaffold multi-chapter learning journeys that manage cognitive load and ensure narrative continuity.

Creating fair programming assessments takes significant effort. This skill generates varied question types aligned to learning objectives with meaningful distractors, analytic rubrics for open-ended questions, and cognitive distribution analysis to ensure balanced assessments.

Web accessibility issues can exclude users with disabilities from accessing digital content. This skill provides comprehensive WCAG compliance audits, screen reader compatibility testing, and actionable remediation guidance for creating inclusive web experiences.

Managing complex AI-assisted projects without clear structure leads to inconsistent results and missed requirements. Spec-Driven Development provides a 7-phase workflow with constitutional governance to ensure quality, traceability, and parallel execution across multiple AI agents.

Teams building n8n-Jira automation need consistent patterns and conventions. This skill provides standardized templates, workflow structures, and Python patterns to ensure maintainable and secure automation code.

Developers and teams struggle to maintain consistent code style across projects. This skill provides comprehensive standards for naming conventions, error handling, validation patterns, and project conventions to ensure uniform, maintainable code.

Writing clear commit messages takes time and consistency. This skill provides structured guidance, conventional commit formats, and templates to generate descriptive commit messages automatically based on staged changes.

Creating new skills requires understanding proper structure and format. This example skill provides reference patterns and best practices for building well-organized skills that follow Claude Code conventions.