a5c-ai/learning-needs-analysis
library/specializations/domains/social-sciences-humanities/education/skills/learning-needs-analysis/SKILL.md
Conduct comprehensive learner audience analysis, identify performance gaps, and determine instructional requirements using surveys, interviews, and data analysis
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter learning-needs-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 2, 2026, 9:46 AM61.2s1 file scanned
SKILL.md
- name:
- learning-needs-analysis
- description:
- Conduct comprehensive learner audience analysis, identify performance gaps, and determine instructional requirements using surveys, interviews, and data analysis
- allowed-tools:
- Read, Grep, Write, Edit, Glob, WebFetch
Learning Needs Analysis
Conduct comprehensive learner audience analysis, identify performance gaps, and determine instructional requirements using surveys, interviews, and data analysis.
Overview
This skill enables systematic analysis of learning needs to inform instructional design decisions. It encompasses audience analysis, performance gap identification, and requirements determination to ensure training and education programs address real needs effectively.
Capabilities
Audience Analysis
- Identify learner demographics and characteristics
- Assess prior knowledge and skills
- Determine learning preferences and styles
- Analyze motivation and attitudes
- Map learner contexts and constraints
Performance Gap Analysis
- Define desired performance outcomes
- Assess current performance levels
- Identify gaps between current and desired states
- Distinguish training from non-training solutions
- Prioritize gaps by impact and feasibility
Data Collection Methods
- Design and administer surveys
- Conduct stakeholder interviews
- Facilitate focus groups
- Analyze performance data
- Review existing documentation
Requirements Documentation
- Document instructional requirements
- Define learning objectives
- Specify constraints and resources
- Identify success metrics
- Create analysis reports
Usage Guidelines
Analysis Process
- Define scope and purpose of analysis
- Identify data sources and stakeholders
- Design data collection instruments
- Collect and analyze data
- Synthesize findings
- Document recommendations
Data Collection Best Practices
- Use multiple data sources
- Balance qualitative and quantitative methods
- Ensure representative sampling
- Maintain objectivity
- Validate findings with stakeholders
Documentation Standards
- Clearly state methodology
- Present findings with evidence
- Distinguish facts from interpretations
- Provide actionable recommendations
- Include supporting data
Integration Points
Related Processes
- ADDIE Model Implementation
- Action Mapping
- Kirkpatrick Evaluation
Collaborating Skills
- learning-objectives-writing
- assessment-item-development
- learning-analytics-interpretation
References
- Mager and Pipe performance analysis
- Rossett needs assessment framework
- ATD competency model
- Instructional design methodologies
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026