name	printshop-review
description	Use when the user invokes /printshop-review, asks to "review the printshop output", or wants to walk page-by-page through a deepagents-printshop run and decide which visual fixes to apply. Drives an interactive visual QA loop on a rendered PDF — render pages, propose targeted fixes, accept/reject each, edit the .tex, recompile, repeat. Activate only inside a deepagents-printshop project (artifacts/output/ must exist).
license	Apache-2.0
metadata	{"project":"deepagents-printshop","pairs_with":"VISUAL_QA_MODE=interactive"}
allowed-tools	Read, Edit, Write, Bash, Glob

printshop-review — interactive visual QA for deepagents-printshop

This skill replaces the autonomous visual_qa pipeline stage with a human-in-the-loop review of the rendered PDF. The pipeline produced the .tex and PDF; you walk the user through them page-by-page and apply only the fixes they accept.

When to activate

User runs /printshop-review [run_id].
User asks to review or QA a printshop run, e.g. "review the output", "let's go through the resume PDF", "QA my latest run".

Only activate inside a deepagents-printshop project (the cwd or a parent has artifacts/output/). Otherwise tell the user this skill needs that directory and stop.

Inputs you'll find on disk

A run lives at artifacts/output/<run_id>/ and contains:

<content_source>.tex — the LaTeX source the LaTeX-specialist agent generated (e.g. resume.tex, magazine.tex, research_report.tex).
<content_source>.pdf — the compiled PDF.
handoff.json — present when VISUAL_QA_MODE=interactive was set on the run. Contains run id, tex/pdf paths, page count, and concerns the LaTeX stage flagged.

A handoff.json looks like:

{
  "run_id": "abc12345",
  "content_source": "resume",
  "tex_path": "/path/to/artifacts/output/abc12345/resume.tex",
  "pdf_path": "/path/to/artifacts/output/abc12345/resume.pdf",
  "tex_exists": true,
  "pdf_exists": true,
  "page_count": 2,
  "visual_qa_mode": "interactive",
  "next_step": "interactive_review",
  "concerns": ["typography: bad spacing on page 2", "weak typography score: 15/25"]
}

If handoff.json is missing (a run produced under auto or disabled mode), proceed anyway — discover the .tex/PDF directly and skip the concerns hint.

The review loop

Locate the run.
- If the user passed a run_id, use artifacts/output/<run_id>/.
- Otherwise list newest-first directories under artifacts/output/. Pick the most-recent and confirm with the user before proceeding ("Review run abc12345 (resume, 2 pages, 4 minutes ago)?").
Read context. Read handoff.json if present and <content_source>.tex (always). Note the concerns from the manifest — they're hints, not commands.
Render the PDF to per-page PNGs. Use pdftoppm:
```
pdftoppm -png -r 150 <pdf_path> <run_dir>/page
```
This produces <run_dir>/page-1.png, page-2.png, etc. (Use -r 200 for dense layouts where 150 dpi looks fuzzy.)
Walk pages one at a time. For each page:
- Read the rendered PNG.
- Identify targeted visual issues — overflow, misaligned figures, table widths, label collisions, awkward spacing, orphan headings, broken citations. Skip nitpicks the user clearly doesn't care about.
- For each issue, propose a concrete fix referencing the .tex line/region. Show the user the smallest possible diff.
- Wait for accept / reject / "explain" / "ask follow-up". Don't apply anything they didn't accept.
- Apply accepted fixes with the Edit tool.
Recompile after each batch of accepted fixes.
```
python3 -m tools.recompile <run_id>
```
This wraps PDFCompiler so you get the same multi-pass + regex-fix behavior as the pipeline, and refreshes handoff.json with the new page count.
Re-render and continue. Run pdftoppm again, compare the affected page to the previous version, then move to the next page (or revisit if the fix didn't land cleanly).
Stop when the user says "ship it" (or equivalent). Print a one-line summary: pages reviewed, fixes applied, recompile count.

Rules of engagement

The human is the gate. No fix gets applied without explicit user accept. Don't batch-apply "obvious" fixes silently.
Surface, don't pile. Surface 1–3 issues per page max. If a page has more, ask the user if they want to keep going or move on.
Preserve the preamble. Edit the body. If a fix needs a new package, propose it explicitly and let the user accept the preamble change separately.
Don't rewrite the document. This is QA, not authoring. If the user wants a major restructure, route them to re-run the full pipeline.
No silent recompiles. The user should always know when you're invoking pdflatex.
If recompile fails after a fix: show the error, offer to revert the last edit, and ask before retrying.

Common fix patterns

See references/fix-patterns.md for the catalogue of typical issues (overflow, table widths, figure placement, citation style, etc.) and the small targeted edits that resolve each.

What this skill is NOT

Not a content editor — don't propose prose changes; that's the content-editor stage.
Not an authoring tool — don't generate new sections or restructure.
Not a deploy tool — "ship it" just means stop the loop. The user takes the PDF wherever it goes next.

printshop-review — interactive visual QA for deepagents-printshop

When to activate

User runs /printshop-review [run_id].

User asks to review or QA a printshop run, e.g. "review the output", "let's go through the resume PDF", "QA my latest run".

Only activate inside a deepagents-printshop project (the cwd or a parent has artifacts/output/). Otherwise tell the user this skill needs that directory and stop.

Inputs you'll find on disk

A run lives at artifacts/output/<run_id>/ and contains:

<content_source>.tex — the LaTeX source the LaTeX-specialist agent generated (e.g. resume.tex, magazine.tex, research_report.tex).

<content_source>.pdf — the compiled PDF.

handoff.json — present when VISUAL_QA_MODE=interactive was set on the run. Contains run id, tex/pdf paths, page count, and concerns the LaTeX stage flagged.

A handoff.json looks like:

{ "run_id": "abc12345", "content_source": "resume", "tex_path": "/path/to/artifacts/output/abc12345/resume.tex", "pdf_path": "/path/to/artifacts/output/abc12345/resume.pdf", "tex_exists": true, "pdf_exists": true, "page_count": 2, "visual_qa_mode": "interactive", "next_step": "interactive_review", "concerns": ["typography: bad spacing on page 2", "weak typography score: 15/25"] }

If handoff.json is missing (a run produced under auto or disabled mode), proceed anyway — discover the .tex/PDF directly and skip the concerns hint.

The review loop

Locate the run.

If the user passed a run_id, use artifacts/output/<run_id>/.
Otherwise list newest-first directories under artifacts/output/. Pick the most-recent and confirm with the user before proceeding ("Review run abc12345 (resume, 2 pages, 4 minutes ago)?").

Read context. Read handoff.json if present and <content_source>.tex (always). Note the concerns from the manifest — they're hints, not commands.

Render the PDF to per-page PNGs. Use pdftoppm:

pdftoppm -png -r 150 <pdf_path> <run_dir>/page

This produces <run_dir>/page-1.png, page-2.png, etc. (Use -r 200 for dense layouts where 150 dpi looks fuzzy.)

Walk pages one at a time. For each page:

Read the rendered PNG.
Identify targeted visual issues — overflow, misaligned figures, table widths, label collisions, awkward spacing, orphan headings, broken citations. Skip nitpicks the user clearly doesn't care about.
For each issue, propose a concrete fix referencing the .tex line/region. Show the user the smallest possible diff.
Wait for accept / reject / "explain" / "ask follow-up". Don't apply anything they didn't accept.
Apply accepted fixes with the Edit tool.

Recompile after each batch of accepted fixes.

python3 -m tools.recompile <run_id>

This wraps PDFCompiler so you get the same multi-pass + regex-fix behavior as the pipeline, and refreshes handoff.json with the new page count.

Re-render and continue. Run pdftoppm again, compare the affected page to the previous version, then move to the next page (or revisit if the fix didn't land cleanly).

Stop when the user says "ship it" (or equivalent). Print a one-line summary: pages reviewed, fixes applied, recompile count.

Rules of engagement

The human is the gate. No fix gets applied without explicit user accept. Don't batch-apply "obvious" fixes silently.

Surface, don't pile. Surface 1–3 issues per page max. If a page has more, ask the user if they want to keep going or move on.

Preserve the preamble. Edit the body. If a fix needs a new package, propose it explicitly and let the user accept the preamble change separately.

Don't rewrite the document. This is QA, not authoring. If the user wants a major restructure, route them to re-run the full pipeline.

No silent recompiles. The user should always know when you're invoking pdflatex.

If recompile fails after a fix: show the error, offer to revert the last edit, and ask before retrying.

Common fix patterns

See references/fix-patterns.md for the catalogue of typical issues (overflow, table widths, figure placement, citation style, etc.) and the small targeted edits that resolve each.

What this skill is NOT

Not a content editor — don't propose prose changes; that's the content-editor stage.

Not an authoring tool — don't generate new sections or restructure.

Not a deploy tool — "ship it" just means stop the loop. The user takes the PDF wherever it goes next.