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.
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.
About
Use cases: design, writing, agent-building
Reviews
Write a reviewNo 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 theFrom YujxZJCN/teaching-skills, MIT.
More from YujxZJCN/teaching-skills
- 0.571score
accreditation-mapper
YujxZJCN
Accreditation and program-assessment documentation for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
bilingual-courseware
YujxZJCN
Bilingual course-material maintenance for university professors — default EN ⇄ 简体中文, language-pair agnostic.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
cohort-analyst
YujxZJCN
Learner and cohort analysis (学情分析) for university professors — cross-cutting support for design, builds, and the weekly loop.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
deck-studio
YujxZJCN
Slide deck production for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
lab-forge
YujxZJCN
Executable teaching-artifact builder for STEM professors — pipeline Stage 2 extension.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
lesson-builder
YujxZJCN
Class-meeting materials builder for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
media-scripter
YujxZJCN
Recorded-media scripting for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
student-mentor
YujxZJCN
During-semester student support for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
submission-auditor
YujxZJCN
Specification-driven submission auditing for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
ta-coordinator
YujxZJCN
Teaching-team management for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
teaching-pipeline
YujxZJCN
Full teaching-lifecycle orchestrator for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
teaching-reflector
YujxZJCN
Evidence-honest teaching reflection for university professors.
SkillCFreshness: C★ 41Claude Code +9
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
- Repository
- github.com/YujxZJCN/teaching-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from YujxZJCN
- 0.571score
bilingual-courseware
YujxZJCN
Bilingual course-material maintenance for university professors — default EN ⇄ 简体中文, language-pair agnostic.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
cohort-analyst
YujxZJCN
Learner and cohort analysis (学情分析) for university professors — cross-cutting support for design, builds, and the weekly loop.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
deck-studio
YujxZJCN
Slide deck production for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
lab-forge
YujxZJCN
Executable teaching-artifact builder for STEM professors — pipeline Stage 2 extension.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
lesson-builder
YujxZJCN
Class-meeting materials builder for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
accreditation-mapper
YujxZJCN
Accreditation and program-assessment documentation for university professors.
SkillCFreshness: C★ 41Claude Code +9
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.
Cite this page
course-designer skill. Agent Mart. https://agentmart.dev/skills/yujxzjcn-course-designer (last updated 2026-10-24)