slides-polish
Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides.
Skill by wanshuiyin
Chalk Labs
Need help deploying slides-polish?
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/wanshuiyin-slides-polish
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: presentations, research, 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/slides-polish
Tools it pre-approves 16
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash(*),Read,Write,Edit,Grep,Glob,spawn_agent,mcp__antigravity__antigravity,mcp__antigravity__antigravity-reply,mcp__grok__grok,mcp__grok__grok-reply,mcp__claude-review__review,
Show 4 more
mcp__claude-review__review_reply,mcp__claude-review__review_start,mcp__claude-review__review_reply_start,mcp__claude-review__review_status
What's inside
- Skill name
slides-polish- Description
- Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides. Use AFTER /paper-slides (or any externally generated PPTX/Beamer) when the deck looks 'mostly OK' but the user wants a final pass that aligns visual weight with a reference, bumps PPTX fonts to projector-readable size, kills italic style leaks, fixes text-frame overflow, and catches per-slide layout drift. Trigger phrases: "polish slides", "slides 排版不对", "PPTX 字体太小", "和 Beamer 比一下", "per-page review", "和 codex 一页一页过".
- License
- MIT
- Allowed tools
- Bash(*),, Read,, Write,, Edit,, Grep,, Glob,, spawn_agent,, mcp__antigravity__antigravity,, mcp__antigravity__antigravity-reply,, mcp__grok__grok,, mcp__grok__grok-reply,, mcp__claude-review__review,, mcp__claude-review__review_reply,, mcp__claude-review__review_start,, mcp__claude-review__review_reply_start,, mcp__claude-review__review_status
- Instructions
- 573 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
Agent Skills spec issues
- body: 573 lines (spec recommends under 500)
Files (1)
- SKILL.md
SKILL.md (first lines)
# Slides Polish: Per-Page Codex Review + Targeted Layout Fixes
> **Before each reviewer slot**, follow [Selectable Reviewers](../shared-references/reviewer-backends.md):
> resolve invocation → `.aris/reviewer.json` → Codex default (fresh native reviewer)
> with `reviewer_route.py` through the canonical helper resolver, preserving this
> slot's tier, fresh contexts, source/image inputs and deterministic gates.
> Codex examples/pins below apply only to `backend=codex`; other routes use their
> own first-call/reply contract. Save the route and actual returned identity;
> unavailable selections are `REVIEW_UNAVAILABLE`. Classify acceptance from actual
> families/completion/scope. Forward invocation reviewer/model/effort overrides
> to reviewer-bearing children. Generation workers are unchanged.
Polish a generated slide deck — Beamer (`.tex` + `.pdf`) and/or PPTX — by
running **per-page Codex review** against a reference visual and applying
surgical fixes (font scaling, text-frame resize, callout-box style, em-dash
spacing, anonymity placeholders, Chinese-font hints, italic style leaks)
until each slide reads at the same visual weight as the reference.
Polish: **$ARGUMENTS**
## What This Skill Is — and Is NOT
**This skill polishes layout and typography only.** It is the post-generation
visual pass for an existing deck.
**Hard scope rules** (load-bearing — see Hard Invariants):
- It **does not** rewrite content, claims, numbers, citations, URLs, author
names, affiliations, or experiment results.
- It **does not** add, remove, or reorder slides unless the user explicitly
asks (e.g., `— add-slide` / `— drop-slide` flags).
- It **does not** generate outlines, speaker scripts, or new Beamer/PPTX from
paper source. That is `/paper-slides`'s job.
- It **does not** change figures or equations content.
If you do not yet have a deck, run `/paper-slides` first. If you want to
change content, go back to `/paper-slides` Phases 1-2 (or rewrite the outline
manually) — do not run `/slides-polish` for that.
## Constants
- **REVIEWER_MODEL = `gpt-6-astra`** — Codex MCP model for per-page review. xhigh reasoning is non-negotiable (see `../shared-references/effort-contract.md`). If the account has no `gpt-6-astra` access, follow the canonical capability fallback chain in `../shared-references/reviewer-routing.md` (the model fallbacks start with `gpt-6.1-sol`+`xhigh`; `gpt-5.4` only as an explicit user override).
- **REVIEWER_REASONING = `xhigh`** — Hard invariant; the effort knob does **not** change this.
- **CONTEXT_POLICY = `fresh`** — Each per-page review uses a **fresh** Codex reviewer call (`spawn_agent`, never `send_input`). See `../shared-references/reviewer-independence.md`. This prevents the reviewer from anchoring on prior fixes.
- **REFERENCE_VISUAL** — Path to a PDF the user wants the polished deck to **align with** in visual weight (typography proportion, color discipline, callout density). Required input. If polishing PPTX only, the **Beamer compile of the same talk** is the ideal reference. If no reference exists yet, ask the user; do not silently default to "Why-RF" or any preset.
- **STYLE_PRESET = `generic`** — Default style anchor. Other options: `why-rf` (academic-minimalist, derived from a 2025 academic talk), `neurips`, `icml`, `iclr`, `cvpr`. Presets influence color discipline + element library; the **reference PDF is the visual ground truth**, not the preset.
- **PPTX_SCALE_HINT = `1.6×`** — Heuristic multiplier from Beamer point sizes to PPTX point sizes for matched visual weight on 13.33"×7.5" PowerPoint at 16:9. Range 1.5-1.8×. The actual scale is **always** validated by visual review, never blindly applied.
- **INTERACTIVE = false** — When false, applies the recommended fix automatically and continues to the next slide. When true (`— interactive`), pauses for user confirmation before each fix.
- **OUTPUT_VERSIONING = on** — Output is a versioned file named `<input-stem>_polished.<ext>` (or `_polished_v2`, `_v3`, …). Snapshot of the input is preserved as `<input-stem>_pre_polish.<ext>`. **The original is never overwritten.** All edit operations target the `_polished` working copy.
> 💡 Override examples
>
> - `/slides-polish talk_pptx/talk.pptx — reference: talk_beamer/main.pdf — style: why-rf`
> - `/slides-polish talk_beamer/ — reference: ./reference_talk.pdf — style: generic — effort: max`
> - `/slides-polish talk.pptx — reference: ./why_rf_2025.pdf — interactive`
## Prerequisites
The skill discovers and reports missing prerequisites at Phase 0; it does not
auto-install. Required:
- **Python**: `python3` with `python-pptx>=0.6` (`pip install python-pptx`).
- **PDF inspection**: `pdfinfo` and either `pdftoppm` (poppler, preferred) or `mutool draw` (mupdf) for rendering slides to PNG. Required so the per-page Codex call sees actual slide pixels, not text extraction alone. Render command: `pdftoppm -r 150 -png <pdf> <out-stem>` (or `mutool draw -o <out-stem>-%d.png -r 150 <pdf>`).
- **PPTX → PDF rendering**: `soffice` (LibreOffice headless) preferred; otherwise the user must export PDF manually from PowerPoint/Keynote.
- **LaTeX** (Beamer side only): `xelatex` (CJK) or `pdflatex`, plus `latexmk` for clean recompiles. The Beamer fix patterns in Phase 2 may require these LaTeX packages: `microtype` (letter-spacing in section labels), `array` (raggedright p-columns), `tcolorbox` (banners and callouts), `ctex` or `xeCJK` (CJK), `tikz` + `tikz-cd` (diagrams).
- **Selected reviewer**: resolve the route before Phase 0. If unavailable, stop with `REVIEW_UNAVAILABLE`; do not silently select another provider. Its image/PDF input capability must satisfy the per-page visual review.
Fallback rules:
- If `pdftoppm`/`mutool` missing → ask user to install, do not proceed (visual review without rendered pages produces low-confidence Codex feedback).
- If `soffice` missing and PPTX is the input → ask user to export PDF from their slide tool; resume after.
## Inputs
Discovered automatically from `$ARGUMENTS` and the project directory:
1. **Slides source**:
- A directory containing `*.pptx`, or `talk_beamer/main.tex` + `main.pdf`, or both.
- A specific file path (`talk.pptx` or `main.tex`).
2. **Reference PDF** (`— reference: <path>`, REQUIRED). If not supplied, the skill prompts the user. Do not silently substitute.
3. **Style preset** (`— style: <preset>`, default `generic`). Influences color hex codes and element library; see Style Presets below.
4. **Effort** (`— effort: lite | balanced | max | beast`, default `balanced`). See Effort Levels.
5. **Interactive flag** (`— interactive`). Pauses after each per-slide fix.
## Output Layout
```
<deck-dir>/
├── <stem>.pptx # original (untouched)
├── <stem>_pre_polish.pptx # snapshot before any edit
├── <stem>_polished.pptx # versioned working output
├── <stem>_polished.pdf # rendered (when conversion available)
└── ... (Beamer files mirrored)
.aris/slides-polish/<deck-stem>/
├── POLISH_STATE.json # phase + per-slide status + version pointer
├── INSPECT_<stem>.json # pre-polish shape inventory
├── TRIAGE.md # Phase-1 verdict matrix (per-slide PASS/NEEDS-WORK/BLOCKER)
├── POLISH_CHANGELOG.md # per-slide fix log (auditable)
└── traces/ # codex traces (per-slide review JSON, see review-tracing.md)
├── slide_01.json
├── slide_02.json
└── ...
```
The skill keeps a self-contained cache under
`.aris/slides-polish/<deck-stem>/`. Per-call Codex traces also follow the
shared convention `.aris/traces/slides-polish/<date>_runNN/` per
`../shared-references/review-tracing.md`. Resumable across sessions if
`POLISH_STATE.json` exists with `"status": "in_progress"` and is < 24h old.
Note: existing skills like `/paper-slides` may use a co-located state file
(e.g., `slides/SLIDES_STATE.json`). `/slides-polish` keeps its state
in `.aris/` to keep the deck directory free of polish-specific cruft.
## Workflow
### Phase 0: Inventory, Inspect, TriageFrom wanshuiyin/Auto-claude-code-research-in-sleep, MIT.
More from wanshuiyin/Auto-claude-code-research-in-sleep
- 0.699score
figure-spec
wanshuiyin
Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG.
SkillAFreshness: A★ 18KClaude Code +9 - 0.699score
paper-illustration-image2
wanshuiyin
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation.
SkillAFreshness: A★ 18KClaude Code - 0.699score
proof-orchestrator
wanshuiyin
Manage a stateful, run-directory-based proof project with Codex: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when…
SkillAFreshness: A★ 18KClaude Code +9 - 0.699score
render-html
wanshuiyin
Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed…
SkillAFreshness: A★ 18KClaude Code +9 - 0.699score
proof-orchestrator
wanshuiyin
Manage a stateful, run-directory-based proof project: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local…
SkillAFreshness: A★ 18KClaude Code - 0.699score
paper-poster-html
wanshuiyin
DEFAULT poster pipeline — build an academic conference poster (ICML/NeurIPS/ICLR/CVPR/...) as a single HTML/CSS file with measurement-driven hard gates, real…
SkillAFreshness: A★ 18KClaude Code - 0.699score
lean-formalize
wanshuiyin
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement.
SkillAFreshness: A★ 18KClaude Code - 0.695score
experiment-queue
wanshuiyin
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention.
SkillAFreshness: A★ 18KClaude Code - 0.694score
arxiv
wanshuiyin
Search, download, and summarize academic papers from arXiv.
SkillAFreshness: A★ 18KClaude Code +9 - 0.694score
claims-drafting
wanshuiyin
Draft patent claims for an invention.
SkillAFreshness: A★ 18KClaude Code - 0.694score
analyze-results
wanshuiyin
Analyze ML experiment results, compute statistics, generate comparison tables and insights.
SkillAFreshness: A★ 18KClaude Code +9 - 0.694score
alphaxiv
wanshuiyin
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback.
SkillAFreshness: A★ 18KClaude Code +9
Signals
- Stars
- 18,007
- Forks
- 1,488
- Open issues
- 58
- Last commit (this folder)
- Oct 24, 2026 (7 days ago)
- Last release
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.358score
slides-polish
wanshuiyin
Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides.
SkillAFreshness: A★ 18KClaude Code +9 - 0.353score
slides-polish
yvesory
Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides.
SkillBFreshness: B★ 19Claude Code +9 - 0.285score
slides-polish
AI4Scientist
Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides.
SkillCFreshness: C★ 128Claude Code +9
More from wanshuiyin
- 0.699score
paper-poster-html
wanshuiyin
DEFAULT poster pipeline — build an academic conference poster (ICML/NeurIPS/ICLR/CVPR/...) as a single HTML/CSS file with measurement-driven hard gates, real…
SkillAFreshness: A★ 18KClaude Code - 0.699score
paper-illustration-image2
wanshuiyin
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation.
SkillAFreshness: A★ 18KClaude Code - 0.699score
lean-formalize
wanshuiyin
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement.
SkillAFreshness: A★ 18KClaude Code - 0.699score
figure-spec
wanshuiyin
Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG.
SkillAFreshness: A★ 18KClaude Code +9 - 0.699score
proof-orchestrator
wanshuiyin
Manage a stateful, run-directory-based proof project: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local…
SkillAFreshness: A★ 18KClaude Code - 0.699score
render-html
wanshuiyin
Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed…
SkillAFreshness: A★ 18KClaude 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 slides-polish 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
slides-polish skill. Agent Mart. https://agentmart.dev/skills/wanshuiyin-slides-polish (last updated 2026-10-24)