Master skill for the reflect->capture->distribute learning loop in any repository: its MAIN TASK is to reflect on a session/task and turn what it taught into durable, reusable knowledge, then distribute it. Reflect on what a session revealed, capture it by authoring/updating skills, agents, docs, and a lessons file, and distribute it both to the team (repo-local `.claude/skills/`, committed) and across projects (global `~/.claude/skills/`) via push learnings up, pull skills down, or reconcile, all through the bundled skill-sync leaf. Delegates each step to the correct leaf skill. Triggers on: "reflect", "review session", "what did we do", "session summary", "learnings", "capture lessons", "update lessons", "improve skills", "update docs", "analyze conversation", "learning loop", "create skill", "update skill", "new skill", "write a skill", "global skill", "promote skill", "sync skills", "reconcile skills", "pull global skill", "skills out of sync", "drift audit", "skill drift".
Audit and fix Markdown files for brand-voice quality in the "Agentic Software Engineering using GitHub Copilot" masterclass (audience: software engineers): em dashes, Mermaid label syntax, paragraph length, and topic-specific slash command tables. Trigger phrases: brand voice check, quality check, check writing quality, fix em dashes.
Master skill for regulatory compliance assessment of a product: routes to the matching leaf and covers both the AI-specific and the personal-data regulations. Leaf `eu-ai-act` handles EU AI Act risk-tier classification (prohibited / high-risk / limited-risk transparency / minimal), the Article 50 transparency-disclosure pattern for consent screens and Terms of Service, and stakeholder/owner checklists. Leaf `dsgvo` handles DSGVO / GDPR personal-data compliance: lawful basis, data-subject rights, privacy notice, processor (Art. 28) agreements, records of processing, DPIA, breach notification, third-country transfers, and the compliance-check checklist. Use when asked to "check compliance", "compliance checklist", "EU AI Act compliance", "is our AI high-risk", "Article 50 transparency", "DSGVO compliance", "GDPR compliance", "check for DSGVO", "are we GDPR compliant", "do we need a privacy notice / Datenschutzerklärung", "lawful basis", "data subject rights", "data processing agreement", "AVV", "DPIA", "data br
Author a single demo or lab guide for a hands-on class of any audience, in one of three styles chosen by audience: prompt-recipe (business/maker, the five-part step model), guided (initial project setup), or walkthrough (code, Microsoft-Learn style with run commands and expected output). Places the file at the module root as demo-NN-slug.md or lab-NN-slug.md, scaffolds any runnable project and companion assets, and updates the folder TOC. Peer skill the create-class master delegates to; also invocable directly. Trigger phrases: create a guide, write a demo, author a lab, demo guide, lab guide, prompt recipe, walkthrough guide, learn style guide, run-verified guide.
Turn a topic readme into presentation slides for a hands-on class, via one of two first-class paths chosen per class. Gamma path: analyse a topic readme and emit Gamma-ready slide spec files (frontmatter plus heading, bullets, optional Mermaid) into the module pptx/ folder, with a merge-slides sub-capability that combines multiple Gamma PPTX exports to beat Gamma's ~10-item-per-call cap. PPTX path: generate a local .pptx deck directly with python-pptx (via the pptx skill) for classes that do not use Gamma. The master create-class skill delegates here; also invocable on its own. Trigger phrases: create slides, topic to slides, gamma slides, pptx deck, slide spec, merge slides, generate deck, slides from readme, build a deck.
Enrich a module README with a use-case intro, a topic-specific slash-command table, and key documentation links, adapted to the module's audience (developer, low-code maker, or business user). Peer skill that the create-class master delegates to by name; also invocable directly. Trigger phrases: enrich module readme, module readme, use case intro, slash command table, key links, teaching content, enhance for business owner, business audience, adapt readme for business users, topic-specific slash commands.
Scaffold, evaluate, render, update, show, test, and publish the class progress dashboard for a course repo. A static web app plus Python evaluators plus a GitHub Pages workflow that report per-module completeness (theory, demos, labs, slides). Optional per class. Peer skill the create-class master delegates to; also invocable directly. Trigger phrases: class dashboard, module status, whats missing, setup dashboard, show status, update class status, test dashboard, publish class dashboard, github pages dashboard, class progress.
Conceive and structure a course's module and topic layout and its master table of contents: name topics so they earn attendance, order modules and topics to build knowledge, keep the master TOC in the author's bare-keyword-link format, keep each title in sync across the TOC, the topic H1, and the module table, size modules so they feel substantial, and keep each capability in exactly one module. Peer subskill of create-class, used before and during scaffolding and whenever restructuring an existing course. Trigger phrases: conceive the toc, design the module structure, order the modules, name a topic, retitle a topic, master toc format, toc bullets, module overlap, thin module, split a module, swap modules, agenda, course outline, engaging titles, restructure demos.