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.
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- The pipeline
- One scale for everyone
- Who reads your paper
- Where leverage exists
- Conditional acceptance and the second stage
- The dual-track decision
- Calibrating outcomes
- Output format
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.