Agent skill

Siggraph Supplementary

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when planning the SIGGRAPH / TOG supplemental package, especially the results video that reviewers weight heavily, plus comparison galleries, additional results, code and…

MITAuto-check passed

Install Siggraph Supplementary

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-supplementary -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills siggraph-supplementary --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SIGGRAPH-Skills/skills/siggraph-supplementary .claude/skills/siggraph-supplementary && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
siggraph-supplementary
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
508 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when planning the SIGGRAPH / TOG supplemental package, especially the results video that reviewers weight heavily, plus comparison galleries, additional results, code and…

  • Planning the SIGGRAPH / TOG supplemental package
  • SKILL.md covers The decision-criticality rule, The results video is a…, Comparison galleries and… and Package layout, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Especially the results video that reviewers weight heavily

What it does

Siggraph Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning the SIGGRAPH / TOG supplemental package, especially the results video that reviewers weight heavily, plus comparison galleries, additional results, code and data, and appendices, and when deciding what evidence must live in the 7-page body versus the supplemental material.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Planning the SIGGRAPH / TOG supplemental package
  • Especially the results video that reviewers weight heavily
  • Plus comparison galleries
  • Additional results

Example prompts

  • “/siggraph-supplementary”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Siggraph Supplementary loads about 1.2k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 508 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 508 words, ~1,229 tokens.

Download SKILL.mdSave it as .claude/skills/siggraph-supplementary/SKILL.md (or your agent's skills folder).
name
siggraph-supplementary
description
Use when planning the SIGGRAPH / TOG supplemental package, especially the results video that reviewers weight heavily, plus comparison galleries, additional results, code and data, and appendices, and when deciding what evidence must live in the 7-page body versus the supplemental material.

SIGGRAPH Supplementary

At SIGGRAPH the supplemental material — above all the results video — is not an appendix, it is primary evidence. Motion, temporal coherence, interaction latency, and rendering artifacts simply do not survive as still figures, and reviewers watch the video to judge them. This skill governs the split between the reviewed body and the supplemental, and the craft of the video itself. Anchor format rules to resources/official-source-map.md.

The decision-criticality rule

The body is capped (Conference/dual-track: <= 7 pages excluding references and two figures-only pages). The supplemental is generous. But nothing that decides acceptance may depend on the reviewer opening the supplemental — a reviewer might weight the body most. So:

EvidenceWhere it lives
The core claim, method, and headline comparisonBody (the 7 pages)
The teaser and the key result figuresBody
Temporal/interactive results (animation, simulation, real-time)Video — irreplaceable
Extended comparison galleries, more scenes, more ablationsSupplemental (additional results)
Derivations, proofs, parameter tables, network detailsAppendix in supplemental
Code, trained weights, scenes/meshes, dataSupplemental (and camera-ready archive)

Rule of thumb: if a reviewer must see it move to believe the claim, it is a video; if it merely strengthens a claim the body already makes, it is supplemental; if losing it would change the decision, it belongs in the body.

The results video is a deliverable, not a screen recording

Reviewers form their impression of a graphics result in the first thirty seconds of the video. Build it deliberately:

  • Open with the headline result, side-by-side with the strongest prior method, on a scene the reader recognizes.
  • Show motion and temporal coherence — flicker, popping, and instability are exactly what a static figure hides and a reviewer is hunting for. Do not cut away from a hard case.
  • Include failure cases. A reviewer who finds an artifact you concealed distrusts everything; one who sees you show it trusts the rest.
  • Label everything on screen — method name, scene, resolution, frames per second, and timing — because the video is watched without the paper in hand.
  • Keep comparisons fair: same viewpoint, same lighting, same runtime budget; note where a baseline was given an advantage.
  • Respect rights and length: you must hold permissions for every frame at submission; keep to the portal's size/length limits and a standard codec (H.264/MP4 is safest).
Show full SKILL.md (134 more words)Show less

Comparison galleries and additional results

Graphics reviewers expect breadth beyond the body's few figures:

  • An HTML comparison viewer (image sliders / flip-books) lets a reviewer A/B your result against baselines at full resolution — far more convincing than downsized paper figures.
  • Provide the full scene set you evaluated on, not only the cherry-picked ones, so the reviewer can check generality.
  • Include more ablation rows than fit the body, each pinned to the paper's ablation table.

Package layout

text
supplemental/
  video.mp4              # results video, labeled, rights-cleared, <= portal limit
  comparisons/index.html # full-res A/B viewer vs each baseline
  additional_results/    # extra scenes, extra ablations, keyed to body figures
  appendix.pdf           # derivations, proofs, parameter/network tables
  code/                  # source + build (see siggraph-reproducibility)
  assets/                # scenes, meshes, textures, weights (or stable links)
  README.txt             # what each item is; which body claim it supports

Anti-patterns

  • A results video that is a muted slideshow of the paper's figures — it shows nothing new.
  • Hiding the decisive comparison in supplemental while the body over-claims without it.
  • An unlabeled video the reviewer cannot interpret without the PDF.
  • Cherry-picked scenes with the failure set quietly omitted.
  • Missing permissions on a single video frame — an ethics/production block.

Output format

text
[Body vs supplemental] each claim placed by decision-criticality? yes/no
[Results video] opens on headline+baseline? shows motion? failures included? labeled? rights cleared?
[Comparisons] full-res A/B viewer vs baselines present? full scene set included?
[Additional results] extra ablations/scenes keyed to body figures? yes/no
[Appendix] derivations/params moved out of the 7-page body? yes/no
[Fixes] <ordered>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in SIGGRAPH-Skills/skills/siggraph-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Siggraph Supplementary next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Siggraph Supplementary compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Siggraph Supplementary this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Aaai Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~852Automated safety check: PassMIT
Siggraph Experimentsbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Iccv Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
Siggraph Reproducibilitybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Wacv Supplementarybrycewang-stanford/Awesome-Journal-Skills1.2k—~947Automated safety check: PassMIT

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Questions about Siggraph Supplementary

What does Siggraph Supplementary do?

A skill your agent uses when planning the SIGGRAPH / TOG supplemental package, especially the results video that reviewers weight heavily, plus comparison galleries, additional results, code and…. Siggraph Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning the SIGGRAPH / TOG supplemental package, especially the results video that reviewers weight heavily, plus comparison galleries, additional results, code and data, and appendices, and when deciding what evidence must live in the 7-page body versus the supplemental material.

When should I use Siggraph Supplementary?

Siggraph Supplementary fits situations like: planning the SIGGRAPH / TOG supplemental package; especially the results video that reviewers weight heavily; plus comparison galleries; additional results.

How do I install Siggraph Supplementary in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-supplementary -a claude-code`. Or copy the skill folder (SIGGRAPH-Skills/skills/siggraph-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/siggraph-supplementary in your project. Claude Code loads it when a task matches its description.

How do I install Siggraph Supplementary in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-supplementary -a codex`. Or copy the skill folder (SIGGRAPH-Skills/skills/siggraph-supplementary in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/siggraph-supplementary in your project. Codex loads it when a task matches its description.

Can I use Siggraph Supplementary in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-supplementary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/siggraph-supplementary, .gemini/skills/siggraph-supplementary, .github/skills/siggraph-supplementary and .opencode/skills/siggraph-supplementary in your project.

What does Siggraph Supplementary need to run?

SKILL.md names no scripts, command-line tools or credentials: Siggraph Supplementary is instructions for the agent only.

Does Siggraph Supplementary access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Siggraph Supplementary safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Siggraph Supplementary use?

Siggraph Supplementary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Siggraph Supplementary use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Siggraph Supplementary?

Skills that share tags, products or a category with Siggraph Supplementary: Aaai Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Siggraph Experiments (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Iccv Supplementary (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Siggraph Reproducibility (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Siggraph Supplementary?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.