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Configure and manage Learning Management System operations including courses, enrollments, compliance training, and learning analytics
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/a5c-ai/babysitter --skill lms-admin명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
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SKILL.md 표시 중
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
| name | lms-admin |
| description | Configure and manage Learning Management System operations including courses, enrollments, compliance training, and learning analytics |
| allowed-tools | ["Read","Write","Glob","Grep","Edit","Bash","WebFetch"] |
| metadata | {"specialization":"human-resources","domain":"business","category":"Learning & Development","skill-id":"SK-010"} |
| graph | {"domains":["domain:human-resources"],"specializations":["specialization:talent-management"],"skillAreas":["skill-area:talent-acquisition-strategy","skill-area:performance-management","skill-area:organizational-design","skill-area:learning-development"],"workflows":["workflow:talent-acquisition-pipeline"],"roles":["role:hr-manager","role:talent-recruiter"]} |
The LMS Administration skill provides comprehensive capabilities for configuring, managing, and optimizing Learning Management System operations. This skill supports course management, user administration, compliance tracking, and learning analytics across major LMS platforms including Cornerstone, Workday Learning, SAP SuccessFactors Learning, and others.
Create Course Structures and Learning Paths
Configure User Enrollments and Assignments
Build Compliance Training Schedules
Generate Completion Reports and Transcripts
Track Learning Analytics and Engagement
Create Certificate and Credential Records
Manage Content Libraries and Catalogs
Input:
- Course content and materials
- Learning objectives
- Target audience definition
- Assessment requirements
- Completion criteria
Output:
- Complete course structure
- Enrollment configuration
- Assessment setup
- Certificate template
- Launch checklist
Input:
- Regulatory requirements
- Affected job roles/positions
- Training frequency requirements
- Escalation procedures
- Audit requirements
Output:
- Compliance training matrix
- Automatic enrollment rules
- Reminder schedule configuration
- Reporting dashboard setup
- Audit trail configuration
Input:
- Reporting period
- Population scope
- Metrics of interest
- Comparison benchmarks
Output:
- Completion rate analysis
- Engagement metrics report
- Trend analysis
- Recommendations for improvement
- Executive summary
Course Information:
- Course ID and Title
- Description and Objectives
- Target Audience
- Duration and Format
- Prerequisites
Content Structure:
- Module 1: [Title]
- Lesson 1.1
- Lesson 1.2
- Assessment 1
- Module 2: [Title]
- Lesson 2.1
- Lesson 2.2
- Assessment 2
Completion Requirements:
- Minimum score threshold
- Required activities
- Time requirements
- Certificate eligibility
Administrative Settings:
- Enrollment type
- Capacity limits
- Availability dates
- Access permissions
| Training Title | Frequency | Due Window | Target Roles | Regulatory Source |
|----------------|-----------|------------|--------------|-------------------|
| [Title] | Annual | 30 days | [Roles] | [Regulation] |
| [Title] | Bi-annual | 14 days | [Roles] | [Regulation] |
Key Metrics:
- Overall Completion Rate
- Average Time to Complete
- Overdue Training Count
- Learner Engagement Score
Trending:
- Completion trends (30/60/90 days)
- High-performing courses
- At-risk populations
- Content engagement patterns
Compliance Status:
- Current compliance percentage
- Upcoming due dates
- Overdue by department
- Escalation queue
Course Design
Enrollment Management
Compliance Training
Analytics and Reporting
Content Management