icdt-artifact-evaluation
Use when preparing the "artifact" of an ICDT (International Conference on Database Theory) paper, which at a pure-theory venue is the complete-proofs full version rather than a code package — covering why ICDT has no ACM-style artifact-badging or code-artifact track, what the marked appendix and the archived arXiv full version must contain, and (only for the rare algorithmic paper) how any code should be handled.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdt-artifact-evaluation --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.
# ICDT Artifact Evaluation Read this to set expectations correctly: **ICDT is a pure database-theory venue with no code-artifact track and no ACM-style artifact badges.** The role an artifact plays at a systems or empirical venue — letting an evaluator re-run your result — is played at ICDT by the **complete, checkable proof**: the marked appendix that a referee reads, and the **archived full vers
What does the icdt-artifact-evaluation skill do?
Use when preparing the "artifact" of an ICDT (International Conference on Database Theory) paper, which at a pure-theory venue is the complete-proofs full version rather than a code package — covering why ICDT has no ACM-style artifact-badging or code-artifact track, what the marked appendix and the archived arXiv full version must contain, and (only for the rare algorithmic paper) how any code should be handled.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdt-artifact-evaluation --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.