Canvas Homework

---
name: canvas-homework
description: Check Canvas for outstanding assignments and either surface the assignment, or draft a response in Max's voice. Use whenever Max asks what assignments / homework / coursework he still has to do, asks to pull an assignment's instructions or files from Canvas, or asks to start/draft an assignment. Orchestrates the canvas MCP, the canvas.mjs file-download helper, the built-in docx and pdf readers, and the writing-voice skill.
---

# Canvas homework workflow ("Chip")

This is the harness. It connects four things: the **canvas** MCP server (lists and
reads assignments), the **`scripts/canvas.mjs`** helper (downloads files the MCP
can't), the **built-in `docx` and `pdf` skills / `Read` tool** (read the files), and
the **`writing-voice` skill** (draft in Max's voice). Follow the steps in order.

## Tools you will use

From the **canvas** MCP server (this is its complete toolset):
- `canvas_list_active_courses` — fast list of your current courses (dashboard API).
  Prefer this for "what am I taking right now."
- `list_courses` — all courses; use flags for completed/all. Use when you need a
  course that isn't on the active dashboard.
- `search_assignments` — search assignment titles/descriptions; filter by due-date
  range, course, and completion/submission status. Use this to find what's *not done*.
- `get_assignment` — full details for one assignment; ask for **markdown** output so
  the description and any embedded file links come through cleanly.

The canvas MCP **cannot download attachments.** That gap is filled by:
- `node scripts/canvas.mjs assignment-files <courseId> <assignmentId>` — **start here.**
  Finds every file linked from the assignment description, its attachments, and any file
  sitting in the same module. Dedupes and tells you where each one came from.
- `node scripts/canvas.mjs files <courseId> [nameFilter]` — list downloadable files in a
  course, optionally filtered by a substring of the filename. Follows pagination, so it
  sees past the first 100 files.
- `node scripts/canvas.mjs download <fileId|url> [outPath]` — download one file into
  `output/` (resolves Canvas's signed download URL using the API token).

Reading files (all built in — **do not** install an MCP for these):
- `.docx` → the **`docx` skill** (extract full text; never edit the source file).
- `.pdf` → the **`Read` tool** (use the `pages` parameter) or the **`pdf` skill**.

Checking a finished draft:
- `node scripts/lint-draft.mjs <path>` — mechanically enforces the writing-voice hard
  guardrails (no em dashes, no markdown). Exits non-zero and prints a line:col for every
  violation. This is not optional; see Branch B step 4.

---

## Step 1 — List outstanding assignments

1. Call `canvas_list_active_courses` to get your current courses (and their IDs —
   you'll need IDs later). Fall back to `list_courses` if you need a non-active course.
2. Call `search_assignments` filtered to **not submitted / not completed**, ideally
   within an upcoming due-date window (e.g. now → +30 days). If the filter options
   don't cleanly express "incomplete," pull the candidates and filter by submission
   status / due date yourself.
3. Show Max a clean list: **course → assignment title → due date → points**. Sort by
   soonest due. If he just asked "what do I have left," **stop here** and let him
   pick one. Don't auto-start drafting everything.

## Step 2 — Pull the chosen assignment

Call `get_assignment` (markdown) for the assignment Max picks. Read the description
in full. Note: the deliverable type (essay, discussion post, worksheet, short
answer), the length/format requirements, the due date, and any rubric text.

## Step 3 — Find a downloadable file (usually a DOCX)

Look for an attached file, cheapest path first:
1. **Ask directly** — `node scripts/canvas.mjs assignment-files <courseId> <assignmentId>`.
   This covers the two cases below in one call, including files that are only reachable
   through the assignment's module rather than the course Files tab. Usually this is the
   whole step.
2. **In the description** from `get_assignment` — scan for links to Canvas files
   (URLs containing `/files/<id>` or `instructure_file_link` anchors). Grab the file
   id or URL.
3. **In the course files** — run `node scripts/canvas.mjs files <courseId> <nameFilter>`
   and look for a file whose name matches the assignment (e.g. `files 1234 essay`).
   Drop the filter to see everything.

If you find one, download it:
```
node scripts/canvas.mjs download <fileId|url> output/<sensible-name.ext>
```
Then decide which branch you're in based on what the file actually is.

---

## Step 4 — Branch on what you found

### Branch A — a DOCX exists AND it contains the assignment

This is the "just show it to me" path.

1. Read the **entire** DOCX with the `docx` skill (extract text).
2. **Do NOT edit the file.** Leave it exactly as downloaded.
3. **Print the full assignment text to the console** (into the chat), verbatim and
   complete — not a summary. If it's long, print all of it anyway; that's the point.
4. After printing, offer (one line): *"Want me to draft a response in your voice?"* —
   if yes, continue into Branch B using this DOCX's contents as the prompt.

> "Contains the assignment" means the DOCX is the actual prompt/instructions or a
> worksheet to read. If the DOCX is empty, or is just a rubric/cover sheet and the
> real task lives in the Canvas description, treat it as Branch B instead.

### Branch B — no DOCX, the DOCX isn't the assignment, or Max asked for a draft

This is the "do it in my voice" path.

1. **Figure out the task.** From the `get_assignment` description, determine exactly
   what has to be produced: the deliverable type, the prompt/question, required
   length, format, citation style, and any rubric criteria. State it back in one or
   two sentences so Max can confirm you understood the assignment.
2. **Read the context files.** If the assignment references a reading or attaches a
   **PDF** (or any other format), download it via `canvas.mjs download` and read it
   with the `Read` tool (`pages`) or `pdf` skill. Pull out the facts, quotes, and
   specifics you'll need so the draft is grounded in the actual source material.
3. **Draft in Max's voice.** Load the **`writing-voice`** skill
   (`.claude/skills/writing-voice/SKILL.md`) and write the response following it:
   stance-first, myth-busting, concrete numbers/examples, his punctuation and idiom
   habits, register matched to the assignment (academic vs. business/opinion). Hit
   the required length and rubric points. **Obey the writing-voice hard guardrails: the
   draft must contain no em dashes and no markdown formatting (plain prose only). Scan
   the finished draft for "—", "*", "_", "#", and backticks before printing.**
4. **Save, lint, then print — in that order:**
   - **Save** it to `output/<course>-<assignment-slug>.md`.
   - **Run the guardrail linter** on it:
     ```
     node scripts/lint-draft.mjs output/<course>-<assignment-slug>.md
     ```
     It prints a line:col for every em dash and every markdown character, and exits
     non-zero if it finds any. Fix each one, save, and re-run until it prints `Clean`.
     **Do not print the draft to Max until the linter passes.** Your own scan in step 3
     is the first pass; this is the backstop, and it is the one that actually decides.
   - **Print the full draft to the console** (into the chat).
5. Tell Max where it saved, the word count, and which rubric requirements it covers.

---

## Step 5 — Hand-off note

End every Branch B draft with a short, honest reminder (one line, not a lecture):
*"This is a first draft in your voice. Read it, make it yours, and check your
course's policy on AI assistance before submitting."* This is Max's own writing
style applied to his own assignments; the point is to beat the blank page and study,
not to submit unread.

---

## Guardrails & tips

- **Never edit a downloaded assignment file.** Read it; don't write back to it.
  Drafts go in `output/`, originals stay untouched.
- **Print, don't just summarize, in Branch A.** Max wants the whole thing surfaced.
- If the **canvas** MCP isn't connected, say so and fall back to
  `node scripts/canvas.mjs courses` / `files` to confirm credentials work, then point
  Max at `README.md` setup.
- If credentials are missing, `canvas.mjs` prints exactly what to set — relay that.
- Course IDs from `list_courses` are what `canvas.mjs files <courseId>` needs; keep
  track of them as you go.