Agent skill · Code Review & Quality

siggraph-review-process

Use to model the SIGGRAPH / SIGGRAPH Asia Technical Papers review pipeline and calibrate expectations, covering the single 6-point score scale, the primary/secondary/tertiary reviewer structure, the 1000-word rebuttal, the Technical Papers Committee meeting, conditional acceptance with second-stage verification, and the dual-track Journal-vs-Conference decision.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-review-process --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: SIGGRAPH-Skills/skills/siggraph-review-process/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# SIGGRAPH Review Process Understanding the SIGGRAPH pipeline tells you where author leverage exists and where it does not. The process is a hybrid: a **conference clock** (one deadline, a short rebuttal, a committee meeting that decides in one round) wrapped around a **journal outcome** (an ACM Transactions on Graphics article, with a conditional-accept revision to reach the journal bar). Facts below trace to the SIGGRAPH 2026 reviewer-instructions/ethics page (`resources/official-source-map.md`); reconfirm per cycle. ## The pipeline ```text Submission form (authors locked) -> full submission (PDF + supplemental video) -> assignment to a Technical Papers Committee member (primary) + secondary + external tertiary reviewers -> reviews written; authors see the full set -> rebuttal window (<=1000 words, text only) -> Technical Papers Committee meeting: conditional accept / reject, and track assignment -> [if conditional] second-stage review verifies the final version -> publication in the SIGGRAPH issue of ACM TOG (or the Conference Proceedings) ``` ## One scale for everyone All submissions — dual-track and Journal-only — are scored on a **single scale**: Strong Reject, Reject, Border

What's inside
Steps it walks through
  1. The pipeline
  2. One scale for everyone
  3. Who reads your paper
  4. Where leverage exists
  5. Conditional acceptance and the second stage
  6. The dual-track decision
  7. Calibrating outcomes
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the siggraph-review-process skill do?

Use to model the SIGGRAPH / SIGGRAPH Asia Technical Papers review pipeline and calibrate expectations, covering the single 6-point score scale, the primary/secondary/tertiary reviewer structure, the 1000-word rebuttal, the Technical Papers Committee meeting, conditional acceptance with second-stage verification, and the dual-track Journal-vs-Conference decision.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-review-process --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going