Agent skill

Webconf Author Response

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

A skill your agent uses when drafting the Web Conference (WWW) rebuttal inside its one-week window, triaging reviews from the venue's mixed systems/mining/social-science reviewer pool, answering…

MITAuto-check passed

Install Webconf Author Response

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills webconf-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/The-Web-Conference-Skills/skills/webconf-author-response .claude/skills/webconf-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
webconf-author-response
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
714 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when drafting the Web Conference (WWW) rebuttal inside its one-week window, triaging reviews from the venue's mixed systems/mining/social-science reviewer pool, answering…

  • Works in 4 steps: Answer every factual error, however… → Answer the objection most repeated… → Answer the lowest-scoring reviewer's… → …
  • Drafting the Web Conference (WWW) rebuttal inside its one-week window
  • SKILL.md covers Read the packet as a track…, Evidence rules inside the window, Rebuttal skeleton and Triage when everything cannot…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Webconf Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting the Web Conference (WWW) rebuttal inside its one-week window, triaging reviews from the venue's mixed systems/mining/social-science reviewer pool, answering misread-track objections, protecting anonymity, and deciding what can honestly be promised for the camera-ready versus what needs new evidence.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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 the Web Conference (WWW) rebuttal inside its one-week window
  • Triaging reviews from the venues mixed systems/mining/social-science reviewer pool
  • Answering misread-track objections
  • Protecting anonymity

Example prompts

  • “/webconf-author-response”

Workflow steps

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

  1. Answer every factual error, however small — uncorrected errors become
  2. Answer the objection most repeated across reviews with the common-thread block.
  3. Answer the lowest-scoring reviewer's strongest point, not their longest one.
  4. Concede real limitations explicitly and say what the camera-ready will state.

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

Webconf Author Response loads about 1.7k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 714 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 714 words, ~1,665 tokens.

Download SKILL.mdSave it as .claude/skills/webconf-author-response/SKILL.md (or your agent's skills folder).
name
webconf-author-response
description
Use when drafting the Web Conference (WWW) rebuttal inside its one-week window, triaging reviews from the venue's mixed systems/mining/social-science reviewer pool, answering misread-track objections, protecting anonymity, and deciding what can honestly be promised for the camera-ready versus what needs new evidence.

Web Conference Author Response

The 2026 rebuttal window ran November 24 - December 1, 2025 — seven days, scheduled over a major holiday week in North America, between the October 7 paper deadline and the January 13 notification. Plan writing capacity for that specific week the moment the paper goes in. Exact mechanics (length caps, per-review vs. single response, revised-PDF permission) were not published in the sources this pack could verify; confirm them in the review platform the day reviews arrive, before drafting.

Read the packet as a track artifact

Web Conference reviews come from a track-scoped pool, and the venue's defining property is that neighboring tracks read the same paper differently. A recommendation paper reviewed in "User modeling, personalization and recommendation" gets offline-metric and baseline questions; the same paper in "Social networks and social media" gets construct-validity and user-harm questions. Before answering anything, classify each review:

Reviewer stanceDiagnostic signalResponse strategy
In-track expertNames specific baselines/datasets you skippedConcede or supply numbers; never hand-wave
Adjacent-track lensQuestions assume a different evidence standardRestate the track's contribution type, then answer on their terms
Web-fit skeptic"Why is this a WWW paper?"Point to the web-native element: platform data, web-scale constraint, user behavior
Feasibility doubter"Would this survive real traffic / real crawls?"Cite the appendix's systems details by section number

The "why is this a WWW paper" objection is the venue's signature rejection reason and deserves its own paragraph in almost every rebuttal: name the property of the Web (openness, adversarial content, platform incentives, hyperlink structure, live user feedback) without which the contribution would not exist.

Evidence rules inside the window

  • New numbers are credible only if small and directly responsive: one extra baseline, one ablation cell, one robustness split. A brand-new experiment campaign announced in a rebuttal reads as an admission the paper was premature.
  • Anything already in the submission beats anything new. Cite by page, section, and line number (the review class option prints line numbers for exactly this).
  • Keep anonymity intact: no links to freshly pushed repositories or dashboards whose accounts identify you, no "as we showed at <company>."
  • Never promise the camera-ready something the 12-page proceedings budget cannot hold. "We will add a full new user study" is a promise reviewers know is either false or destined for an appendix nobody must read.

Rebuttal skeleton

text
[Common thread]  (2-4 sentences shared across reviewers)
  All reviewers asked about X; the short answer is Y (Sec 4.2, lines 512-530).

[R1 - in-track]
  Q: missing baseline B.  A: added; B underperforms ours by <delta> on the same
  split (protocol identical to Table 2). Will appear in Table 2.
  Q: dataset freshness.   A: crawl window and snapshot date are in App. A; we will
  surface them in Sec 3.1.

[R2 - adjacent track]
  Your reading applies the <other-track> bar of <standard>. Our claim is a
  <contribution type> claim; under the track's CFP scope, the evidence in Sec 5
  addresses it because <reason>. On your specific concern: <direct answer>.

[R3 - web-fit skeptic]
  The method exploits <web-native property>; without it, <what breaks>. Non-web
  analogues (e.g., <venue>) do not face <constraint>.

One discipline per answer: quote the reviewer's actual sentence, answer it in the first line, then justify. Reviewers reread rebuttals in minutes, not hours.

Show full SKILL.md (303 more words)Show less

Triage when everything cannot be answered

  1. Answer every factual error, however small — uncorrected errors become meta-review facts.
  2. Answer the objection most repeated across reviews with the common-thread block.
  3. Answer the lowest-scoring reviewer's strongest point, not their longest one.
  4. Concede real limitations explicitly and say what the camera-ready will state. At this venue, a clean concession on scope routinely outperforms a defensive paragraph, because track chairs read rebuttals for calibration as much as content.

Micro-example: the same objection, answered twice

Reviewer sentence: "The improvements may come from the larger embedding table rather than the proposed crawl-time signal."

Weak answer (defensive, unfalsifiable):

We respectfully disagree. Our method is fundamentally different from simply increasing capacity, as explained in Section 4. The crawl-time signal is a key novel contribution and the results clearly demonstrate its effectiveness.

Strong answer (evidence-anchored, one new number, page-cited):

Table 3 row 4 already controls for this: the parameter-matched ablation (identical embedding budget, signal removed) loses 3.8 points (p. 7, lines 689-702). We add one cell for completeness: doubling the baseline's embedding table recovers only 0.4 of those points. We will fold this cell into Table 3 and state the parameter counts in the caption.

The differences that matter: the strong answer names the existing evidence by coordinates, adds the smallest experiment that decides the question, and ends with a concrete, budget-compatible camera-ready commitment. It also never uses "novel," "fundamentally," or "clearly" — calibration words that track chairs discount automatically.

After the window

Nothing can be added between December 1 and the January 13 notification; do not email chairs with supplements. If the outcome is rejection, the same cycle still offered later routes in 2026 — short papers (November deadlines) closed before notification, but the next edition's research tracks and the current edition's workshop calls remain; route via webconf-workflow.

Output format

text
[Rebuttal plan] <n> reviews: <in-track/adjacent/web-fit/feasibility counts>
[Common thread] <the one issue answered once for everyone>
[New evidence] <small additions only, with source of numbers>
[Concessions] <what is admitted and how the camera-ready will phrase it>
[Anonymity check] pass / fail
[Unverified mechanics] <length cap / format items confirmed in-platform>

© 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 The-Web-Conference-Skills/skills/webconf-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Webconf 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.

Webconf Author Response compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Webconf Author Response this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Responsive Unitsthedaviddias/Front-End-Checklist74k—~472Automated safety check: PassMIT
Fast Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Icassp Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Aaai Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~924Automated safety check: PassMIT
Socc Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT

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Questions about Webconf Author Response

What does Webconf Author Response do?

A skill your agent uses when drafting the Web Conference (WWW) rebuttal inside its one-week window, triaging reviews from the venue's mixed systems/mining/social-science reviewer pool, answering…. Webconf Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting the Web Conference (WWW) rebuttal inside its one-week window, triaging reviews from the venue's mixed systems/mining/social-science reviewer pool, answering misread-track objections, protecting anonymity, and deciding what can honestly be promised for the camera-ready versus what needs new evidence.

When should I use Webconf Author Response?

Webconf Author Response fits situations like: drafting the Web Conference (WWW) rebuttal inside its one-week window; triaging reviews from the venues mixed systems/mining/social-science reviewer pool; answering misread-track objections; protecting anonymity.

How do I install Webconf Author Response in Claude Code?

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

How do I install Webconf Author Response in Codex?

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

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

What does Webconf Author Response need to run?

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

Does Webconf 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 Webconf 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 Webconf Author Response use?

Webconf 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 Webconf Author Response use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 Webconf Author Response?

Skills that share tags, products or a category with Webconf Author Response: Responsive Units (thedaviddias/Front-End-Checklist, 74k stars), Fast Author Response (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Icassp Author Response (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Aaai Author Response (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Webconf 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.