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Access Canvas LMS (Instructure) for course data, assignments, grades, and submissions. Use when checking due dates, viewing grades, listing courses, or fetching course materials from Canvas.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/duclm1x1/Dive-Ai --skill canvas-lms명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
| name | canvas-lms |
| description | Access Canvas LMS (Instructure) for course data, assignments, grades, and submissions. Use when checking due dates, viewing grades, listing courses, or fetching course materials from Canvas. |
Access Canvas LMS data via the REST API.
.env file:
export CANVAS_TOKEN="your_token_here"
export CANVAS_URL="https://your-school.instructure.com" # or canvas.yourschool.edu
Include token in all requests:
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/..."
# User profile
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/users/self/profile"
# Active courses
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/courses?enrollment_state=active&per_page=50"
# Dashboard cards (quick overview)
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/dashboard/dashboard_cards"
# To-do items (upcoming work)
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/users/self/todo"
# Upcoming events
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/users/self/upcoming_events"
# Missing/overdue submissions
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/users/self/missing_submissions"
# Course assignments
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/courses/{course_id}/assignments?per_page=50"
# Assignment details
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/courses/{course_id}/assignments/{id}"
# Submission status
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/courses/{course_id}/assignments/{id}/submissions/self"
# Enrollments with scores
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/users/self/enrollments?include[]=current_grading_period_scores&per_page=50"
Extract grade: .grades.current_score
# Announcements
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/announcements?context_codes[]=course_{course_id}&per_page=20"
# Modules
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/courses/{course_id}/modules?include[]=items&per_page=50"
# Files
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/courses/{course_id}/files?per_page=50"
# Discussion topics
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/courses/{course_id}/discussion_topics?per_page=50"
# Inbox
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/conversations?per_page=20"
Link header for rel="next"--max-time 30 for slow endpointsParse with jq:
curl -s ... | jq '.[] | {name: .name, due: .due_at}'
Or Python if jq unavailable:
curl -s ... | python3 -c "import sys,json; data=json.load(sys.stdin); print(json.dumps(data, indent=2))"
url field of file objectsper_page=50 to get more results (default is often 10)