canvas-course-qc
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".
What this skill does
# Canvas Course QC Automated quality checklist for Learning Designers to verify a Canvas course is ready for students. Runs structure, content, publishing, and completeness checks — then reports issues by priority. ## Prerequisites - **Canvas MCP server** must be running and connected. - Authenticated user must have **instructor, TA, or designer role** in the target course. - Best run before the semester starts or before publishing a course to students. ## Steps ### 1. Identify Target Course Ask the user which course to QC. Accept a course code, Canvas ID, or course name. If not specified, prompt: > Which course would you like to quality-check? Use `list_courses` to look up available courses if needed. ### 2. Retrieve Course Structure Call `get_course_structure(course_identifier)` to get the full module-to-items tree in one call. This returns all modules with their items, publishing states, and summary statistics. ### 3. Run Structure Checks Analyze the module tree for structural issues: | Check | Priority | What to Look For | |-------|----------|------------------| | Empty modules | Warning | Modules with 0 items (confusing to students) | | Naming consistency | Suggestion | Do all modules follow the same pattern? (e.g., "Week N:", "Unit N:") | | Module count | Suggestion | Does it match expected count for course length? | | Item ordering | Suggestion | SubHeaders present for organization? | ### 4. Run Content Checks Call `list_assignments(course_identifier)` and check each assignment: | Check | Priority | What to Look For | |-------|----------|------------------| | Missing due dates | Blocking | Graded assignments without a due_at date | | Missing descriptions | Warning | Assignments with empty or null description | | Missing points | Warning | Assignments without points_possible set | | Date sequencing | Warning | Due dates that don't follow module order | | Rubric coverage | Suggestion | Graded assignments without an associated rubric | For pages, check if any pages in modules have empty body content using `get_page_content` for pages flagged in the structure. ### 5. Run Publishing Checks Using the structure data: | Check | Priority | What to Look For | |-------|----------|------------------| | Ghost items | Blocking | Published items inside unpublished modules (invisible to students) | | Unpublished modules | Warning | Modules that may need publishing before semester | | No front page | Warning | Course has no front page set | Check for front page by calling `list_pages(course_identifier)` and looking for `front_page: true`. ### 6. Run Completeness Checks Compare module structures to find inconsistencies: | Check | Priority | What to Look For | |-------|----------|------------------| | Inconsistent structure | Warning | Most modules have 4 items but some only have 1 | | Missing item types | Suggestion | Most modules have an Assignment but some don't | Build a "typical module" profile from the most common item-type pattern, then flag modules that deviate. ### 7. Generate QC Report Present results grouped by priority: ``` ## Course QC Report: [Course Name] ### Summary - Modules: 15 | Items: 67 | Assignments: 15 | Pages: 20 - Issues found: 3 blocking, 5 warnings, 2 suggestions ### Blocking Issues (fix before publishing) 1. Assignment "Final Project" has no due date 2. Published "Week 5 Quiz" is inside unpublished "Week 5" module (invisible to students) 3. Assignment "Midterm" has no due date ### Warnings (should fix) 1. 2 empty modules: "Week 14", "Week 15" 2. 3 assignments missing descriptions: HW 3, HW 7, HW 12 3. No front page set for course 4. Due dates out of order: Week 8 assignment due before Week 7 5. "Week 3" module has 1 item while typical modules have 4 ### Suggestions (nice-to-have) 1. Module naming: 13/15 use "Week N:" pattern but "Midterm Review" and "Final Review" don't 2. 5 graded assignments have no rubric attached ``` ### 8. Offer Follow-up Actions After presenting the report, offer actionable next steps: > Would you like me to: > 1. **Auto-fix publishing** -- Publish all unpublished modules (with confirmation) > 2. **Show details** -- Expand on a specific issue > 3. **Run accessibility audit** -- Check WCAG compliance (uses canvas-accessibility-auditor skill) > 4. **Check another course** For auto-fix, use `update_module` or `bulk_update_pages` with user confirmation before each batch. ## MCP Tools Used | Tool | Purpose | |------|---------| | `list_courses` | Find available courses | | `get_course_structure` | Full module tree with items | | `list_assignments` | Assignment details for content checks | | `get_assignment_details` | Deep-dive on flagged assignments | | `list_pages` | Check for front page | | `get_page_content` | Verify pages have content | | `list_all_rubrics` | Check rubric coverage | | `update_module` | Auto-fix: publish modules | | `bulk_update_pages` | Auto-fix: publish pages | ## Example **User:** "QC check for BADM 350" **Agent:** Runs all checks, outputs the prioritized report. **User:** "Fix the publishing issues" **Agent:** Publishes the 2 unpublished modules after confirmation. ## Notes - This skill is designed for **Learning Designers** who manage course structure before students access it. - Run this before each semester or after major content updates. - Pairs well with `canvas-accessibility-auditor` for comprehensive course review.
Related in Writing & Docs
jax-development
IncludedUse this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.
nature-article-writer
IncludedDrafts, rewrites, diagnostically critiques, and style-calibrates primary research manuscripts for Nature and Nature Portfolio journals. Use when the user wants a Nature-style title, summary paragraph or abstract, introduction, results, discussion, methods, figure legends, presubmission enquiry, cover letter, reviewer response, or when a scientific draft sounds generic, jargon-heavy, structurally weak, or AI-ish and needs precise, broad-reader-friendly prose without inventing data, analyses, or references. Best for primary research articles and letters rather than reviews or press releases unless explicitly adapting one.
deckrd
IncludedDocument-driven framework that derives requirements, specifications, implementation plans, and executable tasks from goals through structured AI dialogue. Use when user says "write requirements", "create spec", "plan implementation", "derive tasks", "structure this feature", "break down into tasks", or "document this module". Also use for reverse engineering existing code into docs (/deckrd rev). Do NOT use for direct code writing — use /deckrd-coder after tasks are generated. Do NOT use when the user only wants to run or fix existing code without planning.
clinical-decision-support
IncludedGenerate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
handling-sf-data
IncludedSalesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use querying-soql), Apex test execution (use running-apex-tests), or metadata deployment (use deploying-metadata).
accelint-ac-to-playwright
IncludedConvert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.