learning-objectives-writing
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
npx skills add a5c-ai/babysitter --skill learning-objectives-writing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 r
- Overview
- Capabilities
- Bloom's Taxonomy Application
- SMART Criteria
- Alignment Strategies
- Documentation
- Usage Guidelines
- Writing Process
- Action Verb Selection
- Quality Criteria
- Integration Points
- Related Processes
- Collaborating Skills
- References
What does the learning-objectives-writing skill do?
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill learning-objectives-writing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.