canvas-info

Research and answer questions about Canvas LMS courses using the canvaslms CLI. Use proactively when: (1) user asks about course content, assignments, pages, grades, deadlines, or announcements, (2) user mentions a Canvas course name or course code, (3) user asks "what assignments/pages/modules are in [course]?", (4) user wants to find specific course materials or check deadlines. This skill is read-only; to create quiz content, use the canvas-quiz skill instead.

Ir a la instalación

Repositorio: dbosk/claude-skills
Última actividad en el origen: 11 de febrero de 2026 a las 10:26
Idioma detectado de SKILL.md: inglés
Estrellas: 1
Forks: 1

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/dbosk/claude-skills --skill canvas-info

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

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didactic-notes

Document pedagogical design decisions in educational materials using the didactic LaTeX package and \ltnote command. Use proactively when (1) writing or editing educational LaTeX materials with pedagogical content, (2) adding or revising variation-theory annotations such as "What varies" or "What stays invariant", (3) explaining design trade-offs or choices in educational materials, (4) documenting why specific examples or exercises are sequenced in a particular way (including the order in which a literate program explains its parts, e.g. why function A is presented before function B), or (5) moving pedagogical reasoning out of student-facing prose and into instructor notes. Invoke when user mentions didactic notes, \ltnote, pedagogical reasoning, learning theory notes, educational design documentation, or asks to move pedagogical reasoning to instructor notes. CRITICAL: \ltnote captures reasoning about how the teaching material itself is written and sequenced (variation/invariance labels, why this example, w

2026-07-20

scientific-writing

Structure and workflow conventions for research papers. Use proactively when (1) writing or revising a paper draft, its introduction, method, results or conclusions, (2) adding research questions, hypotheses, contributions, questionnaires or analyses to a paper, (3) processing a review round on a draft, or (4) starting a new paper repository. Covers question-hypothesis-contribution traceability, substantive vs methodological research questions, literate-program appendices for instruments and analyses, method-section chronology, and the review-round loop.

2026-07-20

remarkable

IMPORTANT: load this skill BEFORE calling ANY remarkable-mcp tool — even a one-line upload — because the tools have silent-failure gotchas (address docs by path/name, NOT the UUID that upload returns; annotations only appear after the tablet syncs; render_merged needs the patched build). Work with a reMarkable tablet via the remarkable-mcp MCP server: upload PDFs/EPUBs, browse/search the cloud, render pages (optionally compositing annotations onto the PDF), read page text/OCR, extract highlighted text, and list which pages carry notes/highlights. Use when: (1) sending/uploading a document, paper, or PDF to the reMarkable ('put this on my reMarkable', 'upload to remarkable'); (2) reading/rendering/checking an annotation, note, or highlight, or extracting only the annotated pages; (3) the user mentions reMarkable, remarkable-mcp, rmapi, or their tablet; (4) setting up or troubleshooting the server. Covers auth, the tool inventory, annotation extraction, and more gotchas (1-based pages, mid-session MCP loading).

2026-07-20

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name

canvas-info

description

Canvas Course Information Research

Overview

The canvaslms CLI provides read-only access to Canvas LMS course data: assignments, pages, modules, discussions, announcements, grades, quizzes, and calendar events. This skill teaches a research workflow for answering user questions about their courses.

For detailed options on any subcommand, run canvaslms <subcommand> -h.

Research Workflow

Follow these steps when answering a Canvas-related question:

Step 1: Identify the Course

canvaslms courses              # List all courses
canvaslms courses "regex"      # Filter by name/code (case-insensitive regex)

Note the course ID from the output. Use it with -c <id> in subsequent commands.

Step 2: Explore Course Structure

Choose the right entry point based on the question:

Question type	Start with
"What's in this course?"	`canvaslms modules list -c <id>`
"What assignments exist?"	`canvaslms assignments list -c <id>`
"Any announcements?"	`canvaslms discussions list -c <id> -t announcement`
"What pages are available?"	`canvaslms pages list -c <id>`
"What are the deadlines?"	`canvaslms calendar -c <id>`
"How did students do?"	`canvaslms results -c <id>`

Step 3: Drill into Content

Use view subcommands to read specific items:

canvaslms modules view -c <id> -m "module regex"
canvaslms pages view -c <id> -p "page regex"
canvaslms assignments view -c <id> -a "assignment regex"
canvaslms discussions view -c <id> -d "discussion regex"

The view commands output full content (markdown for pages, HTML for assignments). The list commands output tab-delimited CSV summaries.

Step 4: Refine with Filters

Most commands accept regex filters and additional flags. Run canvaslms <subcommand> -h to discover available filters for each command.

Common refinement patterns:

Combine course + item filters: -c "DD2520" -a "lab"
Filter by module: -c <id> -m "week 3"
Filter submissions by user: canvaslms submissions -c <id> -u "username"

Step 5: Synthesize and Answer

After gathering data:

Quote relevant content directly when answering
Summarize lists into readable format (tables, bullets)
If data seems stale, suggest re-running with --no-cache
Provide the course/assignment/page names so the user can navigate in Canvas

Quick Reference

To find...	Command	Key flags
All courses	`canvaslms courses`	regex filter, `-i` for ID only
Course modules	`canvaslms modules list`	`-c`, `-m`
Module contents	`canvaslms modules view`	`-c`, `-m`
Assignments	`canvaslms assignments list`	`-c`, `-a`, `-m`
Assignment details	`canvaslms assignments view`	`-c`, `-a`
Wiki pages	`canvaslms pages list`	`-c`, `-p`, `-m`
Page content	`canvaslms pages view`	`-c`, `-p`
Announcements	`canvaslms discussions list`	`-c`, `-t announcement`
Discussions	`canvaslms discussions list`	`-c`, `-t discussion`
Discussion content	`canvaslms discussions view`	`-c`, `-d`
Quizzes	`canvaslms quizzes list`	`-c`, `-q`
Submissions	`canvaslms submissions`	`-c`, `-a`, `-u`
Grades/results	`canvaslms results`	`-c`, `-a`
Calendar/deadlines	`canvaslms calendar`

Regex Filtering Patterns

Course matching is case-insensitive: "dd2520" matches "DD2520"
Use anchors for precision: "^DD2520$" for exact match
Partial match works: "crypt" matches "Applied Cryptography"
Combine flags for specificity: -c "DD2520" -m "week 3" -a "lab"

Output and Caching

list commands produce tab-delimited CSV (pipe through column -t -s$'\t' for readability)
view commands produce full content (markdown, HTML, or YAML frontmatter + content)
Results are cached; use --no-cache to force a fresh fetch
Pages view output includes YAML frontmatter with metadata

Common Pitfalls

Always identify the course first:

BAD:  canvaslms assignments list -a "lab 1"     # No course specified
GOOD: canvaslms assignments list -c 12345 -a "lab 1"

Use list before view to discover item names:

BAD:  canvaslms pages view -c 12345 -p "syllabus"   # Guessing the page name
GOOD: canvaslms pages list -c 12345                   # Discover available pages
      canvaslms pages view -c 12345 -p "Course Syllabus"  # Use actual name

Use the right content type flag for discussions:

BAD:  canvaslms discussions list -c 12345              # Missing type
GOOD: canvaslms discussions list -c 12345 -t announcement
GOOD: canvaslms discussions list -c 12345 -t discussion

Scope

This skill is read-only — it retrieves and presents course information. It does not create, modify, or delete any Canvas content. To create quiz content, use the canvas-quiz skill instead.

canvas-info

Datos de origen

Opciones de instalación

Revisa los archivos de origen

Más de este repositorio

Más de este repositorio

Canvas Course Information Research

Overview

Research Workflow

Step 1: Identify the Course

Step 2: Explore Course Structure

Step 3: Drill into Content

Step 4: Refine with Filters

Step 5: Synthesize and Answer

Quick Reference

Regex Filtering Patterns

Output and Caching

Common Pitfalls

Scope

Canvas Course Information Research

Overview

Research Workflow

Step 1: Identify the Course

Step 2: Explore Course Structure

Step 3: Drill into Content

Step 4: Refine with Filters

Step 5: Synthesize and Answer

Quick Reference

Regex Filtering Patterns

Output and Caching

Common Pitfalls

Scope