k2f-syllabus
Draft instructor-ready course syllabi with aligned outcomes, a scannable schedule spine, grading architecture, and policy layers from prompts, outlines, or legacy syllabi. Use when the user asks for a syllabus, course outline, curriculum map, or term schedule for a class they are teaching or redesigning. Create syllabi with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/suzheng/k2f --skill k2f-syllabus- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads k2f-syllabus automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
K2F Syllabus — AI-Native Aesthetic Design
Purpose
Teach agents to blueprint a course syllabus before layout: day-one essentials, scannable layering, and aligned outcomes, meetings, and grades—without policy dumps, orphaned readings, or schedules that hide assessment logic.
Built on K2F
This skill produces course syllabi as .K2F documents. Follow the k2f skill for authoring: unpack or init a workspace, edit the semantic tree, run pack/verify, then export. K2F keeps agents on meaning (sections, schedule rows, policy blocks)—not pixel coordinates—while the engine compiles layout, typography, and theme.
Before you build, install the core skill: npx skills add suzheng/k2f --skill k2f.
When to Use
- An instructor needs a new or revised syllabus (higher ed, professional continuing ed, or structured K–12 course overview).
- The user supplies partial inputs: catalog description, week topics, textbook, or an old syllabus to modernize.
- Not for supplementary reading-list generators, exam prediction from past tests, or lesson-level daily plans (use k2f-lesson-plan).
Workflow
Step 1. Generate the content_and_design.md
One blueprint for what belongs in the syllabus and how it should read when printed or shared as PDF. Structure it so the schedule spine and shared facts are named once and referenced everywhere the k2f skill will map to sections.
Sub-steps
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Route & clarify — Infer discipline, term length, meeting pattern, and audience (intro undergrad through professional). Ask at most two high-leverage questions (e.g., mandated policy text vs. draft, credit hours); default term length when unspecified.
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Course identity — One identity block: title, catalog code, instructor contact, term dates, room/platform, office hours, prerequisites—do not repeat elsewhere.
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Course story — Brief description plus 3–6 learning outcomes with verbs suited to audience. Infer missing outcomes from the description; mark
[inferred]. Link each outcome to an assessment or major assignment. -
Schedule spine — Week/unit rows: topic, in-class focus, readings, due dates. Compress long topic lists into 6–12 units with stated grouping logic. Label topics with applied domain (course context, not generic keywords). Place high-stakes deadlines on the spine, not only in grading prose.
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Assessment & grading — Categories, weights to 100%, short performance cues, outcome alignment. Late-work rules here only when they change grades.
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Policies & support — Attendance, integrity, accommodations, tech, communication—brief and neutral unless the user supplies approved text (use verbatim). List materials, tools, safety/field notes, and help resources.
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Design intent — For the engine, not coordinates:
- Tone: credible welcome; grads assume fluency, intro defines terms once.
- Hierarchy: title/term first; outcomes and schedule next; policies last.
- Density: tight schedule rows; policies as bullets; no duplicate identity narrative.
- Consistency: one date format and unit label scheme; parallel schedule columns.
- Palette: print-safe; one accent for outcomes or schedule header; clear dates/weights.
Rules & constraints
- Golden thread — Outcomes → schedule → assignments → weights; cut units that do not serve outcomes unless labeled enrichment.
- Honest inference — Tag inferred fields; never fabricate accreditation details or mandatory policy quotes.
- Arithmetic discipline — Weights total 100%; workload fits credit level.
- User-owned policy — Mandated language verbatim; otherwise generic drafts flagged for registrar review.
Common failure modes
- Policies before purpose → identity, story, outcomes, then schedule.
- Too many vague outcomes → consolidate to assessable skills.
- Readings only in an appendix → tie to schedule rows.
- Grading labels with no spine assignment → rename or add rows.
- Repeated contact info → identity block only.
- Audience mismatch in jargon or load → recalibrate verbs and readings.
Quality checklist
- Identity block complete; contacts not duplicated.
- 3–6 outcomes linked to assessment/spine;
[inferred]tagged. - Full-term spine; major dates visible; 6–12 units if compressed.
- Weights total 100% and match spine assignments.
- Policies concise; materials and support listed.
- Design intent covers tone, hierarchy, density, consistency, palette.
Step 2. Use the content_and_design.md and k2f skill to generate a K2F file and export to an appropriate file format.
Follow k2f skill to instantiate the syllabus from the blueprint, apply roles from design intent, verify, and export the shareable syllabus (typically PDF).
FAQ
What does the k2f-syllabus skill do?
Draft instructor-ready course syllabi with aligned outcomes, a scannable schedule spine, grading architecture, and policy layers from prompts, outlines, or legacy syllabi. Use when the user asks for a syllabus, course outline, curriculum map, or term schedule for a class they are teaching or redesigning. Create syllabi with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
How do I install k2f-syllabus?
Run npx skills add https://github.com/suzheng/k2f --skill k2f-syllabus in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/k2f-syllabus/ (personal) or .claude/skills/k2f-syllabus/ (project).
Which AI agents can use k2f-syllabus?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is k2f-syllabus safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains k2f-syllabus?
It is published by suzheng in suzheng/k2f. It has 735 recorded installs.
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