a5c-ai/learning-objectives-writing
library/specializations/domains/social-sciences-humanities/education/skills/learning-objectives-writing/SKILL.md
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter learning-objectives-writingInstall 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, 9:47 AM57.9s1 file scanned
SKILL.md
- name:
- learning-objectives-writing
- description:
- Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
- allowed-tools:
- Read, Grep, Write, Edit, Glob
Learning Objectives Writing
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies.
Overview
This skill enables the creation of clear, measurable learning objectives that guide instructional design and assessment. It encompasses application of Bloom's Taxonomy, SMART criteria, and alignment with assessment strategies to ensure effective learning outcome specification.
Capabilities
Bloom's Taxonomy Application
- Apply cognitive domain levels appropriately
- Use action verbs matched to cognitive levels
- Sequence objectives by complexity
- Address affective and psychomotor domains
- Align objectives with assessment methods
SMART Criteria
- Write Specific objectives
- Ensure Measurability
- Verify Achievability
- Confirm Relevance
- Define Time-bound expectations
Alignment Strategies
- Link objectives to organizational goals
- Connect to assessment methods
- Sequence within curriculum
- Map to competency frameworks
- Ensure instructional alignment
Documentation
- Format objectives consistently
- Organize by module or unit
- Include conditions and criteria
- Document alignment rationale
- Create objective hierarchies
Usage Guidelines
Writing Process
- Identify desired performance outcomes
- Determine appropriate cognitive level
- Select measurable action verbs
- Specify conditions and criteria
- Verify SMART criteria
- Validate alignment
Action Verb Selection
- Remember: list, define, recall, identify
- Understand: explain, summarize, interpret
- Apply: demonstrate, implement, use
- Analyze: compare, differentiate, examine
- Evaluate: critique, assess, judge
- Create: design, develop, construct
Quality Criteria
- One behavior per objective
- Observable and measurable
- Learner-centered focus
- Appropriate level of challenge
- Clear conditions and standards
Integration Points
Related Processes
- ADDIE Model Implementation
- Backward Design
- Bloom's Taxonomy Application
Collaborating Skills
- learning-needs-analysis
- assessment-item-development
- rubric-design-validation
References
- Bloom's Revised Taxonomy (Anderson and Krathwohl)
- Mager's instructional objectives
- SMART goals framework
- Backward design principles
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