"course", "class", "syllabus"?
list_courses / get_course
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Business operationsPublic skills
Education LMS
Learning management for AI agents — courses, assignments, grading, student progress, announcements, and analytics via Canvas LMS or generic LMS APIs.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate LMS operations — manage courses, create assignments, grade submissions, track student progress, post announcements, and analyze course performance. Use when managing courses, creating assignments, grading work, checking student progress, posting announcements, or analyzing course analytics.
Architecture
How Education LMS guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Education LMS skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-education
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"assignment", "homework", "create task"?
list_assignments / create_assignment
"grade", "score", "submission"?
get_submissions / grade_submission
"students", "enrolled", "roster"?
list_students
"announce", "notify class"?
post_announcement
"analytics", "performance", "progress"?
get_course_analytics
"content", "materials", "modules"?
list_modules / search_course_content
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011 calls
Create Assignment
Structured task with rubric
022 calls
Grade Submissions
Score + constructive feedback
031 calls
Course Analytics
Completion, grades, engagement
041 calls
Announcements
Notify entire class
Tool boundary
The skill may use 12 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-education retains responsibility for authentication, validation, and the connected system.
list_courses
get_course
list_assignments
get_assignment
create_assignment
list_students
get_submissions
grade_submission
post_announcement
get_course_analytics
list_modules
search_course_content
Working rules
What the agent should do.
- Follow the decision guide, use the declared tool boundary, and verify the result before responding.
Operating boundaries
What the agent should avoid.
- Review the complete SKILL.md before enabling this skill for production work.
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-education, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-education-lms.git ~/.skills/skills/education-lmsADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("education-lms").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-education server connected (Canvas LMS or generic LMS API).
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 12
- References
- 3
- Revision
- 03f2246a8b5f
- Updated
- May 31, 2026