Agent skill · Data & Analytics

pldi-supplementary

Use when deciding what accompanies a PLDI submission beyond the 20 text pages — full proofs, extended benchmark data, anonymized code — and how to keep every extra byte double-blind, optional for reviewers, and consistent with the main PDF under summary-rejection formatting rules.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pldi-supplementary --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: PLDI-Skills/skills/pldi-supplementary/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

# PLDI Supplementary Material PLDI's cap is on *text pages excluding bibliography* in the main submission (20 for the 2026 cycle); everything else — complete proofs, full benchmark tables, anonymized implementations — is supporting material whose exact submission mechanics (appendix inside the PDF vs separate upload, size limits, reviewer obligations) are reset per cycle and were **not fully visible for 2026 (待核实)**. Decide placement by role first, then check the live CFP for the mechanics. ## Placement by role | Material | Where it belongs | Why | |---|---|---| | Proof sketches of main theorems | Main text | Reviewers judge soundness from the body | | Full proofs, case analyses | Appendix/supplement | Depth on demand; body states theorem + sketch | | Headline benchmark results | Main text | The claim lives or dies here | | Per-benchmark raw tables, extra configurations | Supplement | Evidence of thoroughness, not the argument | | Anonymized source code | Anonymous link or upload | Early credibility; becomes the AE artifact later | | Semantics figures too large for the text block | Rethink first | If reviewers need it to follow §4, it is not supplementary | The governing rule: **th

What's inside
Steps it walks through
  1. Placement by role
  2. Anonymity extends to every byte
  3. Consistency contract with the main PDF
  4. Timing
  5. Output format
Commands it runs
Sweep an anonymized code drop before upload
rm -rf pkg/.git pkg/.github
grep -rniE 'copyright|@[a-z0-9.-]+\.(edu|org|com)|university|author' pkg/ | head
find pkg/ \( -name '*.DS_Store' -o -name '*.orig' -o -path '*__pycache__*' \) -delete
tar tzf pkg.tgz | grep -Ei '/home/|/Users/' && echo "LEAK: user paths in archive"
More from Awesome-Journal-Skills
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About this skill
What does the pldi-supplementary skill do?

Use when deciding what accompanies a PLDI submission beyond the 20 text pages — full proofs, extended benchmark data, anonymized code — and how to keep every extra byte double-blind, optional for reviewers, and consistent with the main PDF under summary-rejection formatting rules.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pldi-supplementary --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