Skip to content
Agentmart
Submit a tool

course-designer

Backward course design for university professors.

Skill by YujxZJCN

IndexedMIT★ 41
Write a review

Chalk Labs

Need help deploying course-designer?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/yujxzjcn-course-designer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Backward course design for university professors. 6-agent team covering learning outcomes (Bloom-tagged), assessment planning, semester scheduling, syllabus writing, course redesign, and constructive-alignment auditing. Socratic design dialogue for professors starting from a blank page. Triggers on: design a course, course design, syllabus, learning outcomes, learning objectives, course schedule, redesign my course, new course, curriculum, teaching plan, align my course, 设计课程, 课程设计, 教学大纲, 课程大纲, 教学目标, 学习目标, 课程改革, 培养方案.

Use cases: design, writing, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/course-designer

What's inside

Skill name
course-designer
Description
Backward course design for university professors. 6-agent team covering learning outcomes (Bloom-tagged), assessment planning, semester scheduling, syllabus writing, course redesign, and constructive-alignment auditing. Socratic design dialogue for professors starting from a blank page. Triggers on: design a course, course design, syllabus, learning outcomes, learning objectives, course schedule, redesign my course, new course, curriculum, teaching plan, align my course, 设计课程, 课程设计, 教学大纲, 课程大纲, 教学目标, 学习目标, 课程改革, 培养方案.
License
MIT
Metadata
status: active · version: 1.0.0 · last_updated: 2026-06-10 · pipeline_stage: 1
Instructions
144 lines in SKILL.md · view on GitHub

Files (14)

  • SKILL.md
  • alignment_auditor_agent.md · agents/
  • assessment_planner_agent.md · agents/
  • async_designer_agent.md · agents/
  • design_mentor_agent.md · agents/
  • outcome_architect_agent.md · agents/
  • schedule_planner_agent.md · agents/
  • syllabus_writer_agent.md · agents/
  • async_design_guide.md · references/
  • outcome_verbs.md · references/
  • syllabus_checklist.md · references/
  • async_module_template.md · templates/
  • course_passport_starter.yaml · templates/
  • syllabus_template.md · templates/

SKILL.md (first lines)

# Course Designer — Backward Course Design Team

Designs university courses in the only order that produces aligned courses
(Pedagogy Foundations §1): outcomes first, evidence second, schedule third, syllabus last.
The professor brings discipline expertise and knowledge of their students; this skill
brings structure, pedagogy evidence, and tireless drafting.

> **Prime rule:** never start from "what topics should we cover?" If the professor starts
> there (most do — it's natural), capture the topic list as raw material, then redirect to
> "what should students be able to *do* afterward?"

## Quick Start

```
Design a new undergraduate course on machine learning for 60 students
帮我设计一门面向大二学生的数据结构课程
I'm inheriting CS 201 and want to redesign it — here's the old syllabus
Check whether my course outline is internally aligned
```

## Modes

| Mode | Trigger intent | Output |
|------|---------------|--------|
| `full` | "Design a course on X" with reasonably clear context | Complete design: outcomes → assessment plan → schedule → syllabus + Course Passport |
| `socratic` | Professor unsure what the course should be; asks to be guided; vague aims | Guided dialogue → Course Concept Brief, then offer `full` |
| `outcomes-only` | "Write learning outcomes for…" | Bloom-tagged outcome set + rationale |
| `syllabus-only` | "Write/update my syllabus"; design already exists | Syllabus from existing design (asks for missing pieces; does not invent policy) |
| `redesign` | Existing course + dissatisfaction or new constraints | Diagnostic against the 6 checks below → prioritized change plan → updated design |
| `align-check` | "Is my course aligned?" / pipeline Gate 1.5 standalone | Alignment Gate report (`shared/alignment_gate_protocol.md`), read-only |
| `async-design` | "Move this course online / async / hybrid"; modality needs design adaptation, not just a flag | Course restructured into self-contained async modules + sync/async split + engagement design + online accessibility defaults; passport `modality` + `schedule` updated |

**Mode dispatch rule:** ambiguous between `socratic` and `full` → prefer `socratic`; a
professor with a clear spec will say so, and guided-first wastes less work than an
unwanted full design. Detect intent in any language.

### Does NOT trigger

| Scenario | Use instead |
|----------|-------------|
| Building lecture notes / activities for one class meeting | `lesson-builder` |
| Writing the actual exam, rubric, or project brief | `assessment-architect` |
| Full design → materials → assessment run | `teaching-pipeline` |
| Analyzing student evaluations of an existing course | `teaching-reflector` |
| Redesigning an assessment so it survives unproctored/async use (`integrity-check`) | `assessment-architect` |
| Producing the actual recorded lecture videos / captions for an online course | `media-scripter` |

## Agent Team (7)

| Agent | Role |
|-------|------|
| `design_mentor_agent` | Socratic dialogue: surfaces what the professor actually wants the course to do; never lectures, never converges prematurely |
| `outcome_architect_agent` | Drafts measurable, Bloom-tagged learning outcomes from the course concept; checks verb quality and level distribution |
| `assessment_planner_agent` | Designs the assessment *structure* (types, weights, timing, AI-policy tiers) — not the assessments themselves |
| `schedule_planner_agent` | Maps outcomes to a week-by-week arc with spacing/interleaving (Pedagogy Foundations §5); balances workload across weeks |
| `syllabus_writer_agent` | Assembles syllabus from confirmed design; policy sections flag institution-specific gaps rather than inventing them |
| `alignment_auditor_agent` | Runs the Alignment Gate checklist; read-only; reports findings by passport id |
| `async_designer_agent` | Adapts a confirmed design for online/async/hybrid modality: self-contained modules, sync-vs-async split, async engagement, online accessibility (UDL); routes assessment redesign to assessment-architect |

## Workflow (`full` mode)

```
Phase 0  INTAKE      — collect course context → initialize Course Passport
                       (course facts, learner profile, constraints). Missing learner
                       profile = ask, don't guess (Passport Iron Rule 2).
         🧑 checkpoint: context confirmed
Phase 1  OUTCOMES    — outcome_architect drafts 3–8 outcomes with bloom_level + rationale
         🧑 checkpoint: outcomes confirmed (this is the highest-leverage decision in
            the whole pipeline — present alternatives, not a fait accompli)
Phase 2  EVIDENCE    — assessment_planner drafts assessment plan: type/weight/week/
                       outcomes_assessed/AI-tier per assessment
         🧑 checkpoint: assessment plan confirmed
Phase 3  ARC         — schedule_planner drafts week-by-week schedule mapped to outcomes
         🧑 checkpoint: schedule confirmed
Phase 4  AUDIT       — alignment_auditor runs Gate 1.5 checklist; BLOCK findings loop
                       back to the responsible phase (max 3 rounds)
Phase 5  SYLLABUS    — syllabus_writer assembles `templates/syllabus_template.md`;
                       institution-specific policies marked [NEEDS PROFESSOR INPUT]
         🧑 checkpoint: syllabus confirmed → passport artifacts updated
```

`socratic` mode runs design_mentor first and feeds its Course Concept Brief into Phase 1.
`redesign` mode runs Phase 4's audit *first* against the existing course, adds the
six-question diagnostic below, then re-enters the workflow at the earliest broken phase.

`async-design` mode assumes outcomes + assessment plan already exist (run `full` first if
not) and changes only *delivery*: async_designer confirms the sync-vs-async split, restructures
`schedule[]` into self-contained modules (`templates/async_module_template.md`) with a weekly
rhythm and online accessibility defaults baked in (UDL, Pedagogy Foundations §7), designs async
engagement (Community of Inquiry, `references/async_design_guide.md`), and re-estimates
time-on-task for self-directed learners. Outcomes and weights are never changed here; assessments
that become vulnerable when unproctored are routed to assessment-architect `integrity-check`. The
mode writes `course.modality` and the restructured `schedule[]`, then checkpoints.

### Redesign diagnostic

1. What did students actually struggle with? (evidence, not impression — invite
   teaching-reflector output if it exists)
2. Are the outcomes still right for who now takes the course?
3. Where did alignment break in practice (taught-but-not-assessed, assessed-but-not-taught)?
4. What does the AI era change for this course's assessments?
5. What's the one change with the highest impact-to-effort ratio?
6. What must NOT change? (protect what works — redesigns that discard working elements
   are a known failure mode)

## Iron rules

1. **Backward order is non-negotiable in `full` mode.** A professor may exit early
   (outcomes only), but the skill never writes a schedule before outcomes exist.
2. **Passport discipline.** All design decisions land in `course_passport.yaml` per
   `shared/course_passport_schema.md`. Standalone runs offer passport creation at exit.
3. **No invented institutional policy.** Grading-scale rules, drop policies, integrity
   sanctions, accommodation procedures are institution-specific: the syllabus carries
   `[NEEDS PROFESSOR INPUT: <what & where to find it>]` markers, never plausible filler.
4. **Alternatives at high-leverage checkpoints.** Outcomes and assessment-plan
   checkpoints present 2 meaningfully different options with trade-offs when the design
   space genuinely forks (e.g., project-centered vs exam-centered evidence structure).
5. **Cite pedagogy when flagging, not when drafting.** Artifacts stay clean of citations;
   rationale at checkpoints cites Pedagogy Foundations § so the professor can audit the

From YujxZJCN/teaching-skills, MIT.

More from YujxZJCN/teaching-skills

Signals

Stars
41
Forks
7
Open issues
0
Last commit (this folder)
Jun 17, 2026 (4 months ago)
Last release
Jun 17, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from YujxZJCN

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get course-designer running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying course-designer?

CallGet help
Cite this page

course-designer skill. Agent Mart. https://agentmart.dev/skills/yujxzjcn-course-designer (last updated 2026-10-24)