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Agent skill

Ppopp Author Response

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when writing a PPoPP author-response rebuttal, covering the short fixed word-capped window, answering the recurring "does it scale?" and "what about baseline X?" questions…

MITAuto-check passedResearch & Science

Install Ppopp Author Response

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-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/PPoPP-Skills/skills/ppopp-author-response .claude/skills/ppopp-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
ppopp-author-response
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
523 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when writing a PPoPP author-response rebuttal, covering the short fixed word-capped window, answering the recurring "does it scale?" and "what about baseline X?" questions…

  • Works in 2 steps: "Does it still scale at higher core… → "How does it compare to baseline X / the…
  • Writing a PPoPP author-response rebuttal
  • SKILL.md covers What the window is and is not, Triage the reviews first, The two questions you must be… and Answering a misread…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ppopp Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing a PPoPP author-response rebuttal, covering the short fixed word-capped window, answering the recurring "does it scale?" and "what about baseline X?" questions with pre-run numbers, correcting factual misreadings of a concurrency argument, staying double-blind, and prioritizing the points that can actually move a decision.

Its SKILL.md is about 1.1k 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 Research & Science. 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

  • Writing a PPoPP author-response rebuttal
  • Covering the short fixed word-capped window
  • Answering the recurring does it scale? and what about baseline X? questions with pre-run numbers
  • Correcting factual misreadings of a concurrency argument

Example prompts

  • “does it scale?”
  • “what about baseline X?”
  • “/ppopp-author-response”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. "Does it still scale at higher core counts / on another topology or GPU?" — Have the larger
  2. "How does it compare to baseline X / the state of the art [k]?" — Have the comparison ready.

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

Ppopp Author Response loads about 1.1k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 523 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 523 words, ~1,150 tokens.

Download SKILL.mdSave it as .claude/skills/ppopp-author-response/SKILL.md (or your agent's skills folder).
name
ppopp-author-response
description
Use when writing a PPoPP author-response rebuttal, covering the short fixed word-capped window, answering the recurring "does it scale?" and "what about baseline X?" questions with pre-run numbers, correcting factual misreadings of a concurrency argument, staying double-blind, and prioritizing the points that can actually move a decision.

PPoPP Author Response

Write the rebuttal for the fixed author-response window (PPoPP 2026: 27–29 October 2025). This is a short, word-capped, single written turn — as verified there is no guaranteed revise-and-resubmit round to fall back on. Reviewers read it, discuss, and decide. Spend the budget on the points that can change a verdict, answered with data, not adjectives.

What the window is and is not

  • It is a 2–3 day window with a word cap; you cannot run a month of new experiments.
  • It is not a debate forum or a place to relitigate taste. It is where you correct factual misreadings and supply the specific number a reviewer said was missing.
  • It stays double-blind: reveal no identity, name no cluster/grant, add no author-revealing link.

Triage the reviews first

text
[Blocking + fixable]   a missing baseline you pre-ran; a scaling point you already have;
                       a misread correctness argument   -> answer these first, with data
[Blocking + not fixable in words]  a study-design gap needing new machine time
                       -> concede honestly, scope the claim down, or note it as future work
[Non-blocking]         wording, a citation, a minor clarification   -> one line each, or skip

Answer the reviewer who is closest to championing you and whose objection is concrete; a reviewer who only questioned novelty rarely decides a systems paper.

The two questions you must be ready for

PPoPP rebuttals live or die on two recurring asks. Prepare for both before reviews arrive (see ppopp-experiments), because the window is too short to generate the runs from scratch:

  1. "Does it still scale at higher core counts / on another topology or GPU?" — Have the larger core sweep or the second-machine run already measured. In the rebuttal, give the number: "At 128 cores throughput is <X>; the curve stays linear to 96 and flattens at 112 due to memory bandwidth, as we now quantify." A concrete point beats "we expect it to scale."
  2. "How does it compare to baseline X / the state of the art [k]?" — Have the comparison ready. "Against [k] on the same 2-socket node, our structure is <Y>× at 64 threads and matches at 4."

Promising to run an experiment "in the final version" does not move a PPoPP reviewer; a measured number does.

Show full SKILL.md (213 more words)Show less

Answering a misread correctness argument

If a reviewer misreads your linearizability or progress argument, correct it precisely: point to the linearization point, the specific interleaving they worried about, and why your synchronization (under the named memory model) handles it. Do not restate the whole proof — cite the section and give the one clarifying sentence that dissolves the objection.

Writing mechanics

  • Lead with the answer, then the evidence. "Yes — measured: <number>." Reviewers skim under load.
  • Quote the reviewer's ask in a few words so the mapping is unambiguous, then answer it.
  • Number your responses to reviewer/point so the discussion can follow them.
  • Fit the cap. Cut acknowledgements and restatement; every sentence should either supply a fact or correct one.
  • Concede what you cannot fix and say what you will do — a candid, scoped concession reads better than an evasive claim, and reviewers reward honesty in the discussion.

What not to do

  • Do not argue that a request is unreasonable; either answer it or scope the claim.
  • Do not introduce a new claim the reviewers could not check — it invites suspicion, not credit.
  • Do not leak identity: no lab name, no named machine, no personal repo link, even mid-argument.
  • Do not spend words on non-blocking nits while a blocking scaling question goes unanswered.

Output format

text
[Window] author-response dates, word cap
[Triage] blocking-fixable / blocking-not-fixable / non-blocking — points sorted
[Scaling answer] higher-core / second-machine number ready and stated? yes/no
[Baseline answer] comparison to the named competitor ready and stated? yes/no
[Correctness fix] misread interleaving corrected precisely? yes/no
[Anonymity] no identity/machine/grant/repo leak? yes/no
[Cuts] what to drop to fit the cap

© 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 PPoPP-Skills/skills/ppopp-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ppopp Author Response next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ppopp Author Response compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ppopp Author Response this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.1kAutomated safety check: PassMIT
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Categories

Questions about Ppopp Author Response

What does Ppopp Author Response do?

A skill your agent uses when writing a PPoPP author-response rebuttal, covering the short fixed word-capped window, answering the recurring "does it scale?" and "what about baseline X?" questions…. Ppopp Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills." questions with pre-run numbers, correcting factual misreadings of a concurrency argument, staying double-blind, and prioritizing the points that can actually move a decision.

When should I use Ppopp Author Response?

Ppopp Author Response fits situations like: writing a PPoPP author-response rebuttal; covering the short fixed word-capped window; answering the recurring does it scale? and what about baseline X? questions with pre-run numbers; correcting factual misreadings of a concurrency argument.

How do I install Ppopp Author Response in Claude Code?

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

How do I install Ppopp Author Response in Codex?

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

Can I use Ppopp 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 ppopp-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/ppopp-author-response, .gemini/skills/ppopp-author-response, .github/skills/ppopp-author-response and .opencode/skills/ppopp-author-response in your project.

What does Ppopp Author Response need to run?

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

Does Ppopp 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 Ppopp 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 Ppopp Author Response use?

Ppopp 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 Ppopp Author Response use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 Ppopp Author Response?

Skills that share tags, products or a category with Ppopp Author Response: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ppopp 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.