A skill your agent uses when drafting the response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter, the editor-first revision strategy, handling masked-reviewer…

MITAuto-check passedData & Analytics

Install Jmgmt Rebuttal

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmgmt-rebuttal -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jmgmt-rebuttal --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/Journal-of-Management-Skills/skills/jmgmt-rebuttal .claude/skills/jmgmt-rebuttal && 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
jmgmt-rebuttal
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
766 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 response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter, the editor-first revision strategy, handling masked-reviewer…

  • Works in 3 steps: Cover note to the action editor. Thank… → Point-by-point, per reviewer. Quote each… → A change log / summary of revisions if…
  • Drafting the response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter
  • SKILL.md covers When to trigger, The JOM rebuttal stance, Structure of the response and Handling the recurring JOM…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jmgmt Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting the response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter, the editor-first revision strategy, handling masked-reviewer conflicts, and staying within the 50-page limit across rounds. Drafts and structures the response; it does not run new analyses (jmgmt-data-analysis) or rebuild the theory (jmgmt-theory-development).

Its SKILL.md is about 1.6k 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 Data & Analytics, covering Peer review and Data analysis. 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 response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter
  • The editor-first revision strategy
  • Handling masked-reviewer conflicts
  • Staying within the 50-page limit across rounds

Example prompts

  • “/jmgmt-rebuttal”

Workflow steps

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

  1. Cover note to the action editor. Thank the editor; restate the contribution; summarize the major changes; flag any place where reviewers…
  2. Point-by-point, per reviewer. Quote each comment verbatim, then give: (a) what you changed, (b) where (section/page/table number in the…
  3. A change log / summary of revisions if the paper changed substantially.

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

Jmgmt Rebuttal loads about 1.6k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 766 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 766 words, ~1,586 tokens.

Download SKILL.mdSave it as .claude/skills/jmgmt-rebuttal/SKILL.md (or your agent's skills folder).
name
jmgmt-rebuttal
description
Use when drafting the response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter, the editor-first revision strategy, handling masked-reviewer conflicts, and staying within the 50-page limit across rounds. Drafts and structures the response; it does not run new analyses (jmgmt-data-analysis) or rebuild the theory (jmgmt-theory-development).

Rebuttal & Response Letter (jmgmt-rebuttal)

When to trigger

  • A JOM R&R arrived and you need a response-letter strategy
  • Reviewers disagree and you must resolve the conflict for the action editor
  • You are tempted to argue with a reviewer rather than revise
  • The revision risks pushing the paper over the 50-page limit
  • You need to show, not just assert, that you addressed the theoretical-contribution and method concerns

The JOM rebuttal stance

JOM's review is developmental and masked, so the response letter is read by the action editor and the (anonymous) reviewers as evidence of whether the paper can become publishable. Two principles govern everything: the editor's priorities come first, and revise before you rebut — when you disagree, you must still respond with new analysis, theory, or evidence, not just a counter-argument. A defensive letter that wins arguments but changes nothing is the most common way a viable R&R dies.

Structure of the response

  1. Cover note to the action editor. Thank the editor; restate the contribution; summarize the major changes; flag any place where reviewers conflicted and how you resolved it. Mirror the editor's stated priorities here.
  2. Point-by-point, per reviewer. Quote each comment verbatim, then give: (a) what you changed, (b) where (section/page/table number in the revised manuscript), and (c) the new text if short. Make the change findable.
  3. A change log / summary of revisions if the paper changed substantially.

Handling the recurring JOM concerns

  • "The theory is thin / the contribution is incremental." Strengthen the mechanism, add a boundary, or claim the contribution type explicitly (see jmgmt-theory-development, jmgmt-contribution-framing) — do not merely re-assert importance.
  • "Common-method bias / cross-sectional causality." Add a time-lagged or multi-source wave, an objective outcome, or a marker-variable/CFA test; if a design fix is infeasible, bound the claim honestly.
  • "Endogeneity is unaddressed." Add an identification strategy (IV, NE, FE, DiD, matching) and report diagnostics, or temper the causal language.
  • "Measurement / discriminant validity." Report a fuller CFA, HTMT, or an alternative-model comparison.
  • (Meta-analysis) "no artifact corrections / publication bias." Add corrections, credibility intervals, and bias diagnostics; re-run moderators tied to theory.

Resolving masked-reviewer conflict

When two reviewers want opposite things, do not silently side with one. State the tension in the cover note, explain your reasoning, and let the action editor adjudicate. The editor's letter — not reviewer head-count — is decisive, so surface the conflict to the person who decides.

Length discipline across rounds

Revisions add text; the 50-page inclusive limit still binds. As you add theory, analyses, and exhibits, move secondary material to the online supplement and trim the literature review. Note in the cover letter where added detail lives (main text vs. supplement) so reviewers can find it without inflating the main file.

Show full SKILL.md (323 more words)Show less

Sample response entry (illustrative)

A reviewer writes: "The cross-sectional design cannot support the causal claim in H2." A weak reply argues that prior work also used cross-sectional data. A JOM-grade reply revises first: "We agree. We collected a second, time-lagged wave (T2, three months later; new sample described on p. 14) and re-estimated H2 with the T2 outcome (Table 4, Model 3); the lagged effect holds (β = .21, 95% CI [.08, .34]). We have tempered the causal language in the discussion (p. 28) and added the design limitation as a boundary condition (p. 30)." It concedes the point, shows the new evidence, gives exact locations, and updates the claim — the pattern every comment should follow.

Preparing for the next round

A major-revision response usually leads to a minor round, not acceptance. Keep a running change log and a clean record of what each reviewer asked and how it was resolved, so the next-round letter can show continuity. If a reviewer re-raises a point you addressed, point precisely to where it was handled rather than re-litigating it. Treat the second round as confirmation, not a fresh argument.

Checklist

  • Cover note mirrors the action editor's priorities and summarizes major changes
  • Every reviewer comment quoted and answered with what/where/new-text
  • Changes are findable (section/page/table references to the revised manuscript)
  • Disagreements are answered with new evidence/analysis, not just argument
  • Reviewer conflicts surfaced to the editor, not silently resolved
  • Recurring concerns (theory, CMB, endogeneity, measurement, meta corrections) substantively addressed
  • Revised manuscript still within the 50-page limit; overflow in the supplement
  • Tone is collegial and developmental throughout

Anti-patterns

  • Arguing instead of revising — winning the point but changing nothing
  • Vague responses ("we have addressed this") with no location or new text
  • Silently siding with one reviewer against another
  • Cosmetic compliance on the theory/method asks the editor flagged as essential
  • Letting the revision balloon past 50 pages instead of using the supplement
  • Defensive or dismissive tone in a developmental-culture journal

Output format

【Decision being answered】R&R major / minor
【Cover note】contribution restated + major changes + conflicts flagged
【Per reviewer】comment → change → location (section/page/table) → new text
【Theory/contribution asks】how addressed ...
【Method asks (CMB / endogeneity / measurement / meta)】how addressed ...
【Reviewer conflicts】surfaced to editor: ...
【Length】revised manuscript ≤50 pages? overflow in supplement? [Y/N]
【Next step】resubmit via SAGE/ScholarOne (→ jmgmt-review-process for the next round)

© 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 Journal-of-Management-Skills/skills/jmgmt-rebuttal of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jmgmt Rebuttal 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.

Jmgmt Rebuttal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jmgmt Rebuttal this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
Mathmodel SkillhandsomeZR-netizen/mathmodel-skill292—~197Automated safety check: PassMIT
Exploratory Data Analysisspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: PassMIT
Mathmodel SkillhandsomeZR-netizen/mathmodel-skill292—~2.5kAutomated safety check: PassMIT
Statistical Data Analysislingzhi227/agent-research-skills390—~886Automated safety check: PassNone
Q-EDA Exploratory AnalysisTyrealQ/q-skills108—~1.1kAutomated safety check: PassMIT

Similar skills

  • Mathmodel Skill

    handsomeZR-netizen/mathmodel-skill

    Plugin shim for the mathmodel-skill competition workflow. An agent skill from handsomeZR-netizen/mathmodel-skill.

    292 GitHub stars~197 tokensUpdated 15 days ago
    Research & ScienceAuto-check passed
  • Exploratory Data Analysis

    spacering-net/codeg

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Data & AnalyticsAuto-check passed
  • Mathmodel Skill

    handsomeZR-netizen/mathmodel-skill

    CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling…

    292 GitHub stars~2.5k tokensUpdated 15 days ago
    Documents & OfficeAuto-check passed
  • Statistical Data Analysis

    lingzhi227/agent-research-skills

    Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.

    390 GitHub stars~886 tokensUpdated 7 mo ago
    Data & AnalyticsAuto-check passed
  • Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.

    108 GitHub stars~1.1k tokensUpdated 17 days ago
    Data & AnalyticsAuto-check passed
  • Diagnostic Study Quality Assessment Quadas

    aipoch/medical-research-skills

    Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.

    1.9k GitHub stars~1.4k tokensUpdated 24 days ago
    Data & AnalyticsAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 14 days ago
    Auto-check passed

Questions about Jmgmt Rebuttal

What does Jmgmt Rebuttal do?

A skill your agent uses when drafting the response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter, the editor-first revision strategy, handling masked-reviewer…. Jmgmt Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting the response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter, the editor-first revision strategy, handling masked-reviewer conflicts, and staying within the 50-page limit across rounds.

When should I use Jmgmt Rebuttal?

Jmgmt Rebuttal fits situations like: drafting the response-to-reviewers for a Journal of Management (JOM) R&R — the point-by-point letter; the editor-first revision strategy; handling masked-reviewer conflicts; staying within the 50-page limit across rounds.

How do I install Jmgmt Rebuttal in Claude Code?

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

How do I install Jmgmt Rebuttal in Codex?

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

Can I use Jmgmt Rebuttal 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 jmgmt-rebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jmgmt-rebuttal, .gemini/skills/jmgmt-rebuttal, .github/skills/jmgmt-rebuttal and .opencode/skills/jmgmt-rebuttal in your project.

What does Jmgmt Rebuttal need to run?

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

Does Jmgmt Rebuttal 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 Jmgmt Rebuttal 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 Jmgmt Rebuttal use?

Jmgmt Rebuttal 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 Jmgmt Rebuttal use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Jmgmt Rebuttal?

Skills that share tags, products or a category with Jmgmt Rebuttal: Mathmodel Skill (handsomeZR-netizen/mathmodel-skill, 292 stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Mathmodel Skill (handsomeZR-netizen/mathmodel-skill, 292 stars) and Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jmgmt Rebuttal?

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.