siggraph-workflow
Use to plan a SIGGRAPH or SIGGRAPH Asia Technical Papers campaign backward from the deadline, covering the two annual cycles, the form-then-upload two-step submission, the rebuttal window, the Technical Papers Committee decision, conditional-accept second-stage revision, TOG camera-ready, and the in-person presentation.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-workflow --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 Workflow SIGGRAPH runs on **two cycles a year** and a compressed single-round calendar with a journal-grade tail. Planning backward from the right deadline — and knowing which of the two conferences you are targeting — is the highest-leverage move. Dates below are the SIGGRAPH 2026 / SIGGRAPH Asia 2026 snapshots from `resources/official-source-map.md`; reopen the live Important Dates pa
What does the siggraph-workflow skill do?
Use to plan a SIGGRAPH or SIGGRAPH Asia Technical Papers campaign backward from the deadline, covering the two annual cycles, the form-then-upload two-step submission, the rebuttal window, the Technical Papers Committee decision, conditional-accept second-stage revision, TOG camera-ready, and the in-person presentation.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill siggraph-workflow --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.