本文へ移動
cccskills
無料GitHub で公開

syllabus

Build or restructure a course syllabus from a topic list or reading list — course description + prerequisites, week-by-week schedule (topic → readings → deliverables), measurable learning objectives, an assessment scheme + rubric, standard policies (late work, AI use, academic integrity, accessibility), and a per-week work-list to hand to `/create-lecture`. Use when user says "build a syllabus", "structure my course", "turn this reading list into a schedule", "draft a course outline", "make a syllabus for Econ 7xx", or "map weeks to lectures". Economics-aware (PhD metrics/micro/macro sequences, undergrad); generic enough for any field.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md8.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Build a Course Syllabus

Turn a bare topic list or reading list into a teachable syllabus: a course description, a sequenced weekly schedule, measurable objectives, an assessment scheme with a rubric, the boilerplate policies every syllabus needs, and a week→lecture work-list you can feed straight into /create-lecture. The instructor owns the academic judgment; this skill structures it.

When to use

  • You have a pile of topics or papers and need them ordered into a term.
  • You are converting last year's syllabus to a new length, level, or modality.
  • You want the schedule's weeks pre-mapped to lecture decks before you start building slides.

Not for building the slides themselves (/create-lecture), reviewing a deck's pedagogy (/pedagogy-review), or assembling the reading list from scratch (/lit-review).

Phase 0: Intake (elicit before drafting)

A syllabus is shaped almost entirely by three parameters. Resolve them first — from flags, then by asking. Do not start sequencing until all three are pinned.

  1. Level + audience — --level (phd / grad / undergrad). For economics, name the sequence (first-year metrics, micro theory, macro, field course, undergrad intermediate). Level sets reading depth, proof-vs-application balance, and assessment type.
  2. Length + cadence — --weeks (default 14) and --sessions-per-week (default 2). A reading seminar and a problem-set course at the same length need very different schedules.
  3. Material — the topic list or reading list ($ARGUMENTS, a file path, or a .bib). If the user points at a .bib or a folder of PDFs, Glob/Read to inventory it; if topics are bare, ask for 1-2 anchor texts per topic.

Echo a short Intake Report (level, weeks, cadence, N topics / N readings, any gaps) and get confirmation before Phase 1.

Phase 1: Sequence topics into weeks

  1. Order by dependency, not by the reading list's order. Build a prerequisite chain — foundational tools before the topics that use them (e.g., asymptotics → GMM → applications; consumer theory → GE → welfare). Front-load what later weeks assume.
  2. Allocate readings to weeks. Distribute material so each week's load is realistic for the level (a PhD field week carries 2-4 papers; an undergrad week, 1 chapter + 1 application). Flag any week that is overloaded or thin.
  3. Place deliverables on the calendar. Problem sets after the tools they exercise; the midterm at a natural conceptual break; referee report / replication / paper proposal milestones spaced so they don't collide. Mark reading-break and no-class weeks.
  4. Emit the schedule table (topic → readings → deliverable per week) and get sign-off before writing objectives — re-sequencing is cheap now, expensive later.

Phase 2: Objectives + assessment

  1. Write measurable learning objectives. One course-level set plus per-unit objectives, each using an observable verb (derive, estimate, replicate, critique, prove) — not "understand" or "be familiar with". Tie each objective to the week(s) that deliver it.
  2. Design the assessment scheme. Pick instruments that fit the level (problem sets + final for a methods course; referee report + replication + paper for a field/PhD course; exams + project for undergrad). State weights summing to 100%, and check every objective is assessed by something.
  3. Write one rubric for the highest-stakes deliverable (the paper, project, or referee report) — criteria × levels, with point bands. Keep it short and concrete.

Phase 3: Emit the syllabus + the lecture work-list

  1. Assemble the syllabus document in the Output format below (skip policies if --no-policies).
  2. Generate the per-week /create-lecture work-list — one row per teaching week mapping it to a deck name, its objective(s), and its anchor reading, so the instructor can hand each row to /create-lecture in order. This is the bridge from syllabus to slides.

Output format

Write to quality_reports/teaching/[course]_syllabus.md (or a user-specified path; not the repo root, where syllabus.md fails the repo-hygiene gate as root clutter):

# [Course title] — [Term, Year]
[Level · meeting cadence · units]

## Course description
[2-4 sentences: what the course is, what students leave able to do.]

## Prerequisites
[Courses / skills assumed. Be specific — "first-year metrics or equivalent".]

## Learning objectives
By the end of this course, students will be able to:
- [observable verb] … (Weeks N-M)

## Weekly schedule
| Week | Topic | Readings | Deliverable |
|------|-------|----------|-------------|
| 1 | … | … | — |

## Assessment
| Component | Weight | Maps to objectives |
|-----------|-------:|--------------------|
| … | …% | … |

### Rubric — [highest-stakes deliverable]
| Criterion | Excellent | Adequate | Weak |
|-----------|-----------|----------|------|

## Policies
Late work · AI / LLM use · academic integrity · accessibility / accommodations · attendance.

## Week → lecture work-list (hand to `/create-lecture`)
| Week | Deck name | Objective(s) | Anchor reading |
|------|-----------|--------------|----------------|

End the chat message (not the file) with a gap summary: weeks with no reading, objectives not assessed, deliverable collisions, or topics dropped for lack of time — the instructor decides how to resolve each.

Flags

  • --weeks — term length in teaching weeks (default 14).
  • --level — phd / grad / undergrad; sets reading depth and assessment type.
  • --sessions-per-week — meetings per week (default 2); affects per-week load.
  • --no-policies — omit the boilerplate Policies section (use when an institutional template supplies it).

Exit behavior

  • Phase 0 halts until level, length, and material are all resolved — a forked or unattended run never guesses these. If the material is empty, ask for a topic/reading list and stop.
  • Each phase gates on user sign-off (schedule before objectives, objectives before policies); re-ordering is offered cheaply at Phase 1.
  • The deliverable is the syllabus file plus the work-list; the chat message always carries the gap summary, even when empty (No gaps — every week has a reading and every objective is assessed.).
  • This skill is text-only; it never compiles, renders, or builds slides.

Cross-references

What this skill does NOT do

  • Does not write slide content or scaffold .tex/.qmd decks — that is /create-lecture.
  • Does not search for or vet readings — pair with /lit-review.
  • Does not grade, generate problem sets, or build answer keys.
  • Does not assert institutional policy as binding — the Policies section is editable boilerplate the instructor must reconcile with their department's rules.
  • Does not invent citations; every reading in the schedule comes from the material the user supplied.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Turn an incoming set of findings — from an AI reviewer, a referee report, a code review, a linter, or a second model — into verified fixes, without letting a confident misread damage correct work. Every finding is a CANDIDATE until checked against the actual source. Use whenever you receive review comments, audit findings, or a critique you did not write yourself, especially when the reviewer is a model or when the volume is too large to check by feel.

日本語の概要は準備中です。原文の説明を表示しています。

pedrohcgs/claude-code-my-workflow1,6572026年9月28日 更新

Enforce the replication-protocol.md rule by cross-checking numeric claims in a manuscript against the actual R / Stata / Python outputs. Report PASS/FAIL per claim against tolerance thresholds. Use before submission and before releasing a replication package.

日本語の概要は準備中です。原文の説明を表示しています。

pedrohcgs/claude-code-my-workflow1,6572026年9月28日 更新

Before and after changing anything shared — a function's return value, a signature, a schema, a label set, a config default, a constant, a file format — find every consumer and actually run them. Catches the change that looks purely additive but silently breaks a contract in a file you never opened. Use when editing shared code, adding a field/column/return element, renaming, changing units or defaults, or touching a pipeline that produces reported numbers.

日本語の概要は準備中です。原文の説明を表示しています。

pedrohcgs/claude-code-my-workflow1,6572026年9月28日 更新

Snapshot the computational environment for a replication package — detects the analysis stack (R / Stata / Python) and emits the right lockfiles (renv.lock + sessionInfo.txt, requirements.txt / environment.yml / uv.lock, Stata version + ado package list), records seeds and RNG kind, optionally writes a pinning Dockerfile, and produces a paste-ready "Computational requirements" block. Use when user says "capture the environment", "snapshot my dependencies", "pin the versions", "make a renv.lock / requirements.txt", "make this byte-reproducible", or before releasing a replication package to openICPSR / the AEA Data Editor.

日本語の概要は準備中です。原文の説明を表示しています。

pedrohcgs/claude-code-my-workflow1,6572026年9月28日 更新

challenge

無料

Stress-test a finding against the choices you did not make. Enumerates the discrete forks a competent analyst could have taken (measure definition, sample filter, control set, clustering level, weighting, functional form), runs the specification grid, and reports the distribution rather than a point estimate — then attacks the identifying assumption with named, computable sensitivity statistics. Use when the user says "is this robust", "challenge this result", "specification curve", "multiverse", "how sensitive is this", "what if I'd used a different measure", "stress-test my estimate", or before a result becomes a headline claim. NOT a reviewer of prose or code — it challenges the CLAIM.

日本語の概要は準備中です。原文の説明を表示しています。

pedrohcgs/claude-code-my-workflow1,6572026年9月28日 更新

Save a structured state snapshot before stopping or handing off. Captures the active plan, recent decisions, file pointers (with line numbers), open questions, and the next 1–3 actions into a checkpoint file under `quality_reports/checkpoints/`. Optionally proposes `[LEARN]` entries to add to MEMORY.md. Use when user says "checkpoint", "save state", "snapshot before I stop", "where am I", "wrap up the session for handoff", or before a long break / model switch / collaborator handoff. Companion to (NOT replacement for) the narrative session-log workflow.

日本語の概要は準備中です。原文の説明を表示しています。

pedrohcgs/claude-code-my-workflow1,6572026年9月28日 更新

pedrohcgs のスキルをすべて見る

このスキルの問題を報告する