원클릭으로 Manus에서 모든 스킬 실행

canvas-info

스타1

포크1

업데이트2026년 2월 11일 10:26

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.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

dbosk

dbosk/claude-skills

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

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`	`-c`, date range flags
Users/enrollment	`canvaslms users`	`-c`, role filters
Groups	`canvaslms groups`	`-c`

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.

이 저장소의 다른 Skills

같은 저장소

backing-claims

dbosk/claude-skills

Back factual and empirical claims with literature you have verified actually supports the claim, and record each citation's provenance (how found, why picked, quote). Use proactively when: (1) adding OR reusing a citation, page number, or attribution for a factual/empirical claim in prose, .tex, .nw, or notes — including a cite carried over from slides, notes, a draft, or the existing .bib (an inherited citation is NOT pre-verified), (2) writing prose that attributes a claim to a source or recounts an example ("X reports/found that…", a paraphrase, or a page locator), (3) the user asks to "find a reference", "cite this", or "is this citation correct", (4) writing a related-work, background, or claims section, (5) the user mentions scholar, BibTeX, DOI, arXiv, OpenAlex, Crossref, or a literature search, (6) reviewing a .bib for unsupported references. Trigger BEFORE writing the citation. Complements writing-crypto and latex-writing (citation markup); this skill owns finding/verifying/justifying the reference.

2026-07-191

scientific-writing

dbosk/claude-skills

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.

2026-07-181

canvas-quiz

dbosk/claude-skills

Write and review Canvas LMS quiz JSON files (INL1Quiz-*.json) for the tilkry cryptography course. Use proactively when: (1) creating, editing, or reviewing INL1Quiz JSON files, (2) user asks to write quiz questions for a lecture topic, (3) user asks to review quiz quality, redundancy, or distractor balance, (4) user mentions Canvas quiz, INL1Quiz, quiz JSON, or quiz questions. Covers JSON structure, question design, scoring, redundancy analysis, and validation.

2026-07-161

latex-writing

dbosk/claude-skills

Guide LaTeX document authoring following best practices and proper semantic markup. Use proactively when: (1) writing or editing .tex files, (2) writing or editing .nw literate programming files, (3) literate-programming skill is active and working with .nw files, (4) user mentions LaTeX, BibTeX, Mentipy in a Beamer/article/PythonTeX context, interactive slide questions in LaTeX, or document formatting, (5) reviewing LaTeX code quality. Ensures proper use of semantic environments (description vs itemize), csquotes (\enquote{} not ``...''), and cleveref (\cref{} not \S\ref{}).

2026-07-161

remarkable

dbosk/claude-skills

Work with a reMarkable tablet through 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) the user asks to send/upload a document, paper, or PDF to their reMarkable ("put this on my reMarkable", "upload to remarkable"), (2) the user asks to read/render/check an annotation, note, or highlight they made on the tablet, or to find/extract only the annotated pages, (3) the user mentions reMarkable, remarkable-mcp, rmapi, or their tablet, (4) setting up or troubleshooting the remarkable MCP server. Covers registration/auth, the tool inventory, the merged/annotation-extraction capabilities, and the non-obvious gotchas (path-not-uuid addressing, 1-based pages, mid-session MCP loading, the annotation-sync trap, and the render_merged version dependency).

2026-07-161

variation-theory

dbosk/claude-skills

Apply variation theory of learning to structure content using contrast, generalization, and fusion patterns. Variation must target the critical aspects of the learning objective. Use proactively when (1) writing educational materials, explanations, tutorials, or lecture slides, (2) designing or reviewing examples in documentation, READMEs, or literate programs (.nw files), especially when multiple examples illustrate alternative approaches to the same task, (3) structuring code examples, CLI usage examples, or API examples where the reader should notice what differs between alternatives, (4) user mentions variation theory, learning theory, pedagogy, contrast, invariance, or critical aspects. Also activate when asked to elaborate, make concrete, or add examples to existing content. Works alongside literate-programming and didactic-notes skills; in educational LaTeX or .nw materials, keep variation-analysis labels in \ltnote{} rather than student-facing prose, unless the document itself is about that design.

2026-07-161

name

canvas-info

description

Canvas Course Information Research

Overview

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`	`-c`, date range flags
Users/enrollment	`canvaslms users`	`-c`, role filters
Groups	`canvaslms groups`	`-c`

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.