learning-objectives-writing
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
Best use case
learning-objectives-writing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
Teams using learning-objectives-writing should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/learning-objectives-writing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How learning-objectives-writing Compares
| Feature / Agent | learning-objectives-writing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 1. Identify desired performance outcomes 2. Determine appropriate cognitive level 3. Select measurable action verbs 4. Specify conditions and criteria 5. Verify SMART criteria 6. 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
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