A skill your agent uses when drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness, baselines, and benchmark validity, correcting factual…

MITAuto-check passedDocuments & Office

Install Pldi Author Response

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pldi-author-response -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pldi-author-response --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/PLDI-Skills/skills/pldi-author-response .claude/skills/pldi-author-response && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pldi-author-response
GitHub stars
1.2k
Token cost
~971 tokens
SKILL.md length
387 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness, baselines, and benchmark validity, correcting factual…

  • Drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness
  • SKILL.md covers Triage before writing, Rules that keep responses alive, A working skeleton and After the window, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Benchmark validity

What it does

Pldi Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness, baselines, and benchmark validity, correcting factual errors with pointers into the submitted PDF, and committing to feasible revisions without promising new systems work.

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness
  • Benchmark validity
  • Correcting factual errors with pointers into the submitted PDF
  • Committing to feasible revisions without promising new systems work

Example prompts

  • “/pldi-author-response”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pldi Author Response loads about 971 tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 387 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~971

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 387 words, ~971 tokens.

Download SKILL.mdSave it as .claude/skills/pldi-author-response/SKILL.md (or your agent's skills folder).
name
pldi-author-response
description
Use when drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness, baselines, and benchmark validity, correcting factual errors with pointers into the submitted PDF, and committing to feasible revisions without promising new systems work.

PLDI Author Response

PLDI 2026 gave authors a five-day response window, February 17-21, 2026, between review delivery and the March 5 notification (dates from pldi26.sigplan.org, read 2026-07-08; every cycle re-times this). The response is read by people who build compilers and verifiers for a living: precision beats rhetoric, and a pointer into your own submitted PDF beats a paragraph of reassurance.

Triage before writing

Sort every reviewer point into one of four buckets and answer them in this order:

BucketExample at PLDICorrect move
Factual error"The analysis ignores exceptions" when §4.2 handles themQuote §4.2 verbatim, one sentence of context
Soundness doubt"Theorem 2 seems to assume no reentrancy"State the assumption's exact location; if the reviewer is right, say what the fix costs
Evaluation gap"No comparison against the LLVM baseline at -O2"Give the number if it exists in your logs; otherwise commit to the exact experiment, not to "more evaluation"
Scope disagreement"Why not handle JIT compilation?"Defend the stated scope; do not promise to widen it

A soundness doubt outranks everything. One reviewer convinced your core theorem or transformation is broken outweighs three asking for extra benchmarks, so spend your first and best paragraph there.

Show full SKILL.md (186 more words)Show less

Rules that keep responses alive

  • Answer the question asked. Implementor-reviewers notice deflection immediately; a direct "yes, our technique fails on X, and here is why the claim survives" earns more than a hedge.
  • No new contributions. New numbers are acceptable only when they answer a direct question and come from the already-described setup — for instance, a requested baseline flag configuration. A new algorithm or proof in a rebuttal reads as an admission the submission was premature.
  • Quote yourself by section and line, not by memory. Reviewers reread exactly what you cite; a wrong pointer costs credibility twice.
  • Budget by damage. Give the most negative substantive review the most space; do not spend a page thanking the champion reviewer.
  • Stay anonymous. Double-blind persists through the response; no links that resolve to your lab.

A working skeleton

text
We thank all reviewers. We first address the soundness question (Rev B),
then the baseline request (Rev A, Rev C), then smaller points.

[B1: soundness of Thm 2 under reentrancy]
Assumption A3 (§5.1, p.12) excludes reentrant callbacks; the proof uses it
in Lemma 4. We will state A3 in the theorem statement itself. The
restriction removes 2 of 14 benchmark programs (§6.1 already notes this).

[A2/C3: -O2 baseline]
Our logs include this configuration: geomean 1.11x vs 1.17x reported.
We will add the column to Table 4.

[C5: JIT scope]
Out of scope by design (§2); AOT-only assumptions are used in §4.3.

After the window

Archive the response beside the submitted PDF. If the decision is acceptance, your camera-ready and artifact must actually deliver every "we will" sentence — PLDI reviewers routinely check; see pldi-camera-ready and pldi-artifact-evaluation. If it is rejection, the response doubles as the revision plan for the next November.

Output format

text
[Decisive issue] <the one objection that moves the decision>
[Bucket map] Rev A: ... / Rev B: ... / Rev C: ...
[New-number policy] <what may be cited, from which logged runs>
[Commitments] <numbered, feasible, camera-ready-sized>
[Anonymity check] pass / fail

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in PLDI-Skills/skills/pldi-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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DOCXrvdbreemen/OTGW-firmware20733 repos~4.3kAutomated safety check: PassProprietary
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0

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Questions about Pldi Author Response

What does Pldi Author Response do?

A skill your agent uses when drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness, baselines, and benchmark validity, correcting factual…. Pldi Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness, baselines, and benchmark validity, correcting factual errors with pointers into the submitted PDF, and committing to feasible revisions without promising new systems work.

When should I use Pldi Author Response?

Pldi Author Response fits situations like: drafting a PLDI author response inside the short February window — triaging reviewer objections about soundness; benchmark validity; correcting factual errors with pointers into the submitted PDF; committing to feasible revisions without promising new systems work.

How do I install Pldi Author Response in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pldi-author-response -a claude-code`. Or copy the skill folder (PLDI-Skills/skills/pldi-author-response in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/pldi-author-response in your project. Claude Code loads it when a task matches its description.

How do I install Pldi Author Response in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pldi-author-response -a codex`. Or copy the skill folder (PLDI-Skills/skills/pldi-author-response in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/pldi-author-response in your project. Codex loads it when a task matches its description.

Can I use Pldi Author Response in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pldi-author-response -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pldi-author-response, .gemini/skills/pldi-author-response, .github/skills/pldi-author-response and .opencode/skills/pldi-author-response in your project.

What does Pldi Author Response need to run?

SKILL.md names no scripts, command-line tools or credentials: Pldi Author Response is instructions for the agent only.

Does Pldi Author Response access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Pldi Author Response safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Pldi Author Response use?

Pldi Author Response is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pldi Author Response use?

About 971 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pldi Author Response?

Skills that share tags, products or a category with Pldi Author Response: Markdown Article Formatter (JimLiu/baoyu-skills, 27k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and DOCX (rvdbreemen/OTGW-firmware, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pldi Author Response?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.