vishalsachdev

Accessibility audit and remediation for Canvas LMS courses. Scans content for WCAG-oriented issues, generates prioritized reports, guides fixes, and verifies remediation. Use when asked to "audit accessibility", "check WCAG", "fix accessibility issues", or "run accessibility review".

Discussion forum facilitator for Canvas LMS. Helps students and educators browse, read, reply to, and create discussion posts. Trigger phrases include "discussion posts", "reply to students", "check discussions", "forum participation", "post a discussion", or any discussion-related Canvas task.

Learning designer quality check for Canvas LMS courses. Audits module structure, content completeness, publishing state, date consistency, and rubric coverage. Use when asked to "QC a course", "is this course ready", "pre-semester check", or "quality review".

Student weekly assignment planner for Canvas LMS. Shows all due dates, submission status, grades, and peer reviews across all courses. Use when a student says "what's due", "plan my week", "weekly check", or wants to organize their coursework.

Bulk grading workflows for Canvas LMS assignments using rubrics. Covers single grading, batch grading, and code execution strategies with safety-first dry runs.

Educator morning course health check for Canvas LMS. Shows submission rates, struggling students, grade distribution, and upcoming deadlines. Trigger phrases include "morning check", "course status", "how are my students", or any start-of-day teaching review.

Scaffold complete Canvas LMS course structures from specs, templates, or existing courses. Creates modules, pages, assignments, and discussions in bulk. Use when asked to "build a course", "scaffold modules", "create course structure", "set up a new course", or "copy course structure".

Educator peer review management for Canvas LMS. Tracks completion rates, analyzes comment quality, flags problematic reviews, sends targeted reminders, and generates instructor-ready reports. Trigger phrases include "peer review status", "how are peer reviews going", "who hasn't reviewed", "review quality", or any peer review follow-up task.

Deploy a Node app to a VPS with build ordering, health checks, and a sentinel wired in. Use when setting up deployment for a VPS-hosted app, when a deploy shipped stale code or wedged on a git conflict, when a deploy reports success but the app is down, or when auditing existing deploy scripts for missing safety steps. Includes a template and the drift checklist for scripts copied from it.

Best practices for Remotion video creation in React. Use when creating video compositions, animations, or media processing with Remotion. Covers timing, sequencing, audio, captions, transitions, 3D content, asset handling, and rendering. Triggers on Remotion components, useCurrentFrame, interpolate, Composition, Sequence, or AbsoluteFill.

Design Canvas LMS assignments using evidence-based learning science principles from the Four Learning Design Pillars. Use when educators want to create pedagogically sound assignments, need help writing assignment descriptions with clear objectives, want rubric suggestions, or are creating quizzes/discussions/peer reviews. Integrates with canvas-mcp for direct Canvas creation.

Generate learning science-backed feedback templates for Canvas assignments. Use when educators need feedback templates for grading, want to create rubric comments, need encouraging feedback language aligned with Pillar 3 principles (targeted, encouraging, immediate), or want to set up SpeedGrader comment libraries. Works with canvas-mcp for bulk grading.

Verify a Microsoft Entra ID (Azure AD) access token server-side and derive identity from its claims. Use when adding or reviewing Entra/Azure AD JWT verification, when a verifier accepts tokens it should reject (or rejects tokens it should accept), or when binding a verified token to an identity record (GUID/oid comparison, netid derivation). Covers the v2-issuer/audience trap, the ID-token-as-access-token trap, the missing-email-claim trap, and case-folding hazards in identity comparison.

Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.

This skill generates comprehensive chapter content for intelligent textbooks after the book-chapter-generator skill has created the chapter structure. Use this skill when a chapter index.md file exists with title, summary, and concept list, and detailed educational content needs to be generated at the appropriate reading level with rich non-text elements including diagrams, infographics, and MicroSims. (project, gitignored)

Generate a quick compliance checklist from the Four Learning Design Pillars. Use when users want a practical checklist for reviewing content, a quick audit tool, or verification questions for specific pillars. Triggers on "checklist", "quick audit", "design check", or "verify against pillars".

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.

Convert a course outline into a fully fleshed out intelligent textbook. Use when: (1) User provides a URL containing a course outline/syllabus (2) User asks to "generate a course" or "create a textbook" from an outline (3) User wants to expand a course description into full learning materials Generates: learning graph, chapter structure, MicroSim specifications, quizzes, glossary, and FAQ following the intelligent textbooks framework and evidence-based learning design principles.

This skill generates interactive workflow diagrams using the Mermaid JavaScript library for placement in a narrow region of a textbook using an iframe. Use this skill when users request creating flowcharts, process diagrams, workflow visualizations, or decision trees for educational textbooks. The skill creates MicroSim packages with standalone HTML files featuring colorful backgrounds, 16-point fonts, and top-down rendering by default, saved to /docs/sims/ following the MicroSim pattern.

Create or fix a project's CLAUDE.md using a template that bakes in verification guardrails. Use when starting a new project, when a repo has no CLAUDE.md, when an existing one has grown bloated or stale, or when a non-developer needs their project set up so agents behave safely in it. Produces a short, high-signal file plus the guardrails that catch confident-wrong agent output.

Create an interactive classification quiz MicroSim using p5.js where students read scenarios and classify them into the correct category from multiple choice options. Uses a data.json file for easy question editing. Ideal for teaching students to recognize patterns, identify types, or categorize examples across any subject domain.

This skill automatically generates a comprehensive glossary of terms from a learning graph's concept list, ensuring each definition follows ISO 11179 metadata registry standards (precise, concise, distinct, non-circular, and free of business rules). Use this skill when creating a glossary for an intelligent textbook after the learning graph concept list has been finalized.

This skill generates interactive timeline visualizations using the vis-timeline JavaScript library. Use this skill when users need to create historical timelines, project timelines, event sequences, or any chronological data visualization with optional category filtering. The skill creates a complete MicroSim package with HTML, CSS, JSON data, and documentation.

Audit an entire Canvas LMS course against the Four Learning Design Pillars (Clear Structure, Active Content, Continuous Practice, Intuitive UX). Use when users want to evaluate course quality, identify improvement areas, or prepare for course redesign. Requires canvas-mcp server for course data access. Triggers on "audit course", "course review", "evaluate my course", or Canvas course IDs/codes.

Load for ANY bug-fix task — code, UI/UX, content, docs, accessibility, or workflow. Reproduce → isolate → fix → prevent cycle with real-session patterns. GEPA-evolved from 353 real Claude Code session bugfixes (+31pp holdout).

Use when delegating OpenAI agent work across GPT-5.6 Sol, Terra, or Luna, especially for new task classes, parallel workers, independent review, model fallback, repeated failures, weak verification, or high-consequence operations.

This skill installs a complete Claude Code skill tracking system using hooks to automatically log skill usage, execution duration, token usage, and user prompts for later analysis. Use this skill when setting up activity tracking in a Claude Code project to identify patterns, monitor costs, and discover opportunities for new skills.

Generate Canvas-ready HTML pages and assignments for BADM 350 Technology & AI Strategy course. Use when building weekly module content from markdown lesson plans, creating "Start Here" pages with Tuesday/Thursday session structure, or generating assignment HTML with rubrics. Triggers on requests to "build Canvas content", "create week X page", or "generate assignment for BADM 350".

Review educational content against the Four Learning Design Pillars framework. Use when users want to evaluate course materials, lessons, tutorials, e-learning modules, or any instructional content for alignment with evidence-based learning design principles. Provides structured feedback with specific principle references (e.g., 1.1.1, 2.3.4) and actionable recommendations. Triggers on "review this course", "evaluate my lesson", "check best practices", or "analyze this module".

Wire up an LLM client (OpenAI, Azure OpenAI, Anthropic, Gemini) correctly the first time. Use when adding AI calls to a project, when choosing which model to pin, when an LLM call returns empty output or a token/parameter error, or when auditing existing LLM integrations. Covers key sourcing, client placement, reasoning-model parameter and budget traps, and points at the shared model registry so model ids live in one place.

Create an interactive educational MicroSim using the p5.js JavaScript library with distinct regions for drawing and interactive controls. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that references the javascript code and the main.html can be referenced as an iframe from the index.md. The metadata.json contains Dublin core metadata about the MicroSim.

This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.

Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports. Provides comprehensive support for all stages from planning to final polish.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Write newsletter articles for The Hybrid Builder (chatwithgpt.substack.com) with intelligent cross-referencing of the full article archive. Includes sitemap-based article cache with theme indexing, reference suggestions, session transcript export, and cover image generation. Use when asked to write a blog post, article, or newsletter about a collaboration or technical topic.

Generate MicroPython programs for the Moving Rainbow LED strip educational project using Raspberry Pi Pico with NeoPixel strips and button controls.

This skill generates interactive multiple-choice quizzes for each chapter of an intelligent textbook, with questions aligned to specific concepts from the learning graph and distributed across Bloom's Taxonomy cognitive levels to assess student understanding effectively. Use this skill after chapter content has been written and the learning graph exists.

Run a premortem on a plan, launch, product, hire, strategy, or decision — assumes it failed 6 months from now and works backward to find every reason why, then produces a revised plan. Use when the user has a concrete plan or commitment with high cost-of-being-wrong and asks to "premortem", "stress test", "find blind spots", "poke holes", "what could kill this", or "what am I missing". Skip for vague ideas without a plan, simple feedback requests, factual questions, or already-irreversible decisions.

Convene a 3-model council (Claude + GPT via codex CLI + Gemini CLI) on a high-stakes decision. Forces cross-critique between members and surfaces where they actually disagree, breaking Claude's default agreeableness. Use when the user asks to "convene a council", "get a second opinion", "ask GPT and Gemini", "what would other models say", or has an architecture / strategy / hiring / pricing decision where being wrong is expensive. Skip for factual questions, code with one right answer, or anything premortem-shaped (route to premortem skill instead).

Use when user says "let's get started", "where are we", or at beginning of a session. Reads project context from CLAUDE.md, checks git status and recent commits, and provides orientation for the session. Works across all repo types (code, research, mixed).

Use when user says "let's wrap up", "close shop", "done for today", or wants to end a session. Handles session wrap-up including git operations, documentation updates, roadmap updates, and preparing for next session. Works across all repo types.

Create, edit, and manage forms in the University of Illinois ATLAS FormBuilder Admin application (appserv7.admin.uillinois.edu/FormBuilderAdmin). Use when the user needs to work with FormBuilder forms including: creating or editing form questions and sections, configuring event session categories and event sessions, setting up payment line items and CFOAPAL codes, managing workflow phases and routing triggers with conditional statements, configuring authentication and self-registration for local users, editing form periods, managing waitlists and registration limits, setting up question triggers for conditional visibility, working with text merge fields, handling form responses and reports, or troubleshooting form behavior. Keywords: FormBuilder, ATLAS, UIUC, form builder, event registration, survey, form questions, payment configuration, workflow, routing triggers, phases, event sessions, iPay, CFOAPAL.

Design and install validation hooks for coding agents (e.g., Claude Code) to make AI changes safer and more deterministic. Use when you want post-tool-use or stop hooks, automated tests/linters/formatters, parallel subagents with per-file validation, or a repeatable “agent pipeline” with audit logs.

Apply the codebase singularity approach: reliable codebase understanding and change with a repeatable workflow, guardrails, and verification gates. Use for repo work (feature, bugfix, refactor, migration) when you need high trust, minimal diffs, and explicit validation and exit criteria.

Extract tweet series from X/Twitter profiles with full content, links, and engagement metrics. Use when: (1) User provides a tweet URL and wants similar tweets by the same author, (2) User asks to "extract tweets", "collect tweet series", or "scrape tweets", (3) User wants to analyze a user's recurring tweet format (e.g., daily updates, weekly roundups), (4) User needs tweet content with embedded links preserved for analysis. Requires Chrome browser automation tools (mcp__claude-in-chrome__*).

Architect, execute, and iterate on AI evaluations using the Data-Task-Score framework. Treats evals as the modern, quantifiable version of a PRD. Use when the user asks to "build an eval," "improve model quality," "test an agent workflow," "quantify product intuition," "move beyond vibe checks," "measure AI output," "score LLM responses," "benchmark a prompt," or "set up evaluation infrastructure." Also triggers on phrases like "how do I know if this is working," "is the model getting better," or "eval-driven development."