A skill your agent uses when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R…

MITAuto-check passed

Install Jppm Review Process

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-review-process -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jppm-review-process --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-Public-Policy-and-Marketing-Skills/skills/jppm-review-process .claude/skills/jppm-review-process && 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
jppm-review-process
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
681 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R…

  • Calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic
  • SKILL.md covers When to trigger, How JPP&M review works, The desk-reject patterns to… and Reading the decision letter, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The mixed reviewer pool

What it does

Jppm Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R typically demands. Reads the process and the letter; drafting the response is jppm-rebuttal.

Its SKILL.md is about 1.5k 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

  • Calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic
  • The mixed reviewer pool
  • What an R&R typically demands

Example prompts

  • “/jppm-review-process”

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

Jppm Review Process loads about 1.5k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 681 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 681 words, ~1,457 tokens.

Download SKILL.mdSave it as .claude/skills/jppm-review-process/SKILL.md (or your agent's skills folder).
name
jppm-review-process
description
Use when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R typically demands. Reads the process and the letter; drafting the response is jppm-rebuttal.

Review Process (jppm-review-process)

When to trigger

  • A decision letter arrived and you must extract what the editors actually require
  • Estimating desk-reject risk before submitting
  • Reviews pull in different directions (methods reviewer vs. policy reviewer) and you need a strategy
  • Deciding whether an R&R is worth the added data work, or whether to reroute
  • Wondering how the editor transition affects a paper submitted under the old team

How JPP&M review works

Submissions enter SageTrack and go first to the joint Editors in Chief (Melissa Bublitz and Stacey Finkelstein for submissions from April 1, 2026; verify the current masthead), who desk-screen — the Policy Contribution Statement and abstract carry most of that decision — and assign surviving papers to an associate editor from the journal's AE board, who recruits reviewers under double-anonymized review. The reviewer pool is distinctive: alongside marketing academics, JPP&M draws scholars with law, policy, and public-health backgrounds and board members with agency or practice experience. Plan for the paper to be read simultaneously by someone auditing the estimator and someone auditing the policy realism; a paper that satisfies only one camp usually returns as a split verdict the AE must resolve.

The desk-reject patterns to pre-empt

PatternWhat the editors see
Bolted-on policya competent consumer study whose policy content lives in one closing paragraph
Non-actionable implicationsrecommendations no identifiable stakeholder could implement
Advocacy without evidenceconclusions whose strength comes from conviction, not from the design
Missing counterfactualan "evaluation" with no credible comparison — before/after trends alone
Wrong-outlet fitfirm-performance or pure-mechanism papers better suited to JM or JCP
Scope mismatchno marketing content at all — straight policy analysis

If two or more of these describe the draft, fix upstream (jppm-topic-selection, jppm-contribution-framing) before submitting; a desk reject here is usually a fit verdict, not bad luck.

Reading the decision letter

  • Weight the AE/editor synthesis over any single review; it defines the revision contract.
  • "Strengthen the policy contribution" — the most common JPP&M R&R theme. It rarely means more words; it means sharper stakeholder mapping, decision-unit magnitudes, or evidence on the contested margin.
  • "Identification concerns" — for evaluations, expect requests for modern DiD estimators, pre-trend sensitivity, placebo tests, or an added design leg.
  • "Consider firm response / unintended effects" — a request to close the loop on strategic reactions or backfire outcomes, often satisfiable with supplementary data or bounded analysis.
  • "Tone down the advocacy" — recalibrate claim verbs and acknowledge trade-offs; this is cheap to fix and expensive to ignore.
  • Split reviews — when the methods and policy reviewers disagree, the AE's letter tells you whose concern is binding; answer both, prioritize the binding one.
Show full SKILL.md (254 more words)Show less

Decisions and what they mean

DecisionReadingMove
Desk rejectfit failure — usually one of the six patterns aboverework fit or reroute; do not resubmit cosmetics
Reject after reviewcounterfactual or contribution not credible to either campmajor rebuild; consider JCA/Macromarketing if the lever was the weak part
Major revisionthe policy question is valued; evidence or framing must tightenbudget realistically — new analyses are common, new data sometimes
Minor revisionsubstance acceptedcomply precisely; keep the page cap in mind as you add
Conditional accepteditorial polishexecute; verify statements still current at resubmission

Timelines vary with the reviewer mix and editor transition; expect an experimental-plus-policy pool to take longer than a single-discipline one, and re-check current turnaround expectations with the editorial office rather than folklore.

Checklist

  • Desk-screen self-audit run against the six patterns before submission
  • The AE/editor synthesis identified as the binding revision contract
  • Each major comment mapped to a feasible fix (analysis, data, framing, tone)
  • Split-review conflicts resolved by the AE's stated priority, not by picking favorites
  • Revision effort budgeted against the realistic value of the R&R
  • Post-transition policies (formats, statements) re-checked before resubmission

Anti-patterns

  • Resubmitting a desk reject with a rewritten discussion and the same fit problem
  • Answering the loud reviewer while the AE's stated concern goes unaddressed
  • Treating "strengthen policy contribution" as a word-count task rather than an evidence/framing task
  • Ignoring the practitioner reviewer because their comments lack citations — their realism check often decides the AE
  • Assuming old-team norms carry over across an editorial transition unverified

Output format

text
【Decision】desk reject / reject / major R&R / minor / conditional accept
【Binding contract】the AE-or-editor concern the revision must satisfy
【Camp map】methods-reviewer asks vs. policy-reviewer asks, and the AE's priority
【Feasibility】new analysis / new data / reframing — cost vs. value of the R&R
【Go / no-go】revise / reroute (where) / withdraw
【Next skill】jppm-rebuttal

© 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-Public-Policy-and-Marketing-Skills/skills/jppm-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jppm Review Process 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.

Jppm Review Process compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jppm Review Process this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Implementing Policy As Code With Open Policy Agentmukul975/Anthropic-Cybersecurity-Skills34k—~2.6kAutomated safety check: NotesApache-2.0
Policy Acknowledgementsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT
Privacy Policythedaviddias/Front-End-Checklist74k—~617Automated safety check: PassMIT
Editorial Policythedaviddias/Front-End-Checklist74k—~763Automated safety check: PassMIT
Policy Draftinganthropics/claude-for-legal9.6k2 repos~1.4kAutomated safety check: PassApache-2.0

Similar skills

  • Implementing Policy As Code With Open Policy Agent

    mukul975/Anthropic-Cybersecurity-Skills

    Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes…

    34k GitHub stars~2.6k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check: notes
  • Policy Acknowledgement

    sickn33/agentic-awesome-skills

    Policy acknowledgement register: employee, policy and version, sent and due dates, acknowledged date and flag, days overdue, reminder sent and status.

    47k GitHub starsUsed in 1 repo~3.4k tokens
    Auto-check passed
  • Privacy Policy

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing whether a website has a visible, accessible privacy policy link, particularly in the footer navigation.

    74k GitHub stars~617 tokensUpdated 3 days ago
    Legal & ComplianceAuto-check passed
  • Editorial Policy

    thedaviddias/Front-End-Checklist

    A skill your agent uses when auditing a blog, news site, or YMYL content site for trust signals, drafting editorial policy page content, or evaluating whether a site meets Google's quality rater…

    74k GitHub stars~763 tokensUpdated 3 days ago
    Auto-check passed
  • Policy Drafting

    anthropics/claude-for-legal

    Official

    Draft an employment policy with state supplements where law differs across the jurisdictional footprint.

    9.6k GitHub starsUsed in 2 repos~1.4k tokens
    Legal & ComplianceAuto-check passed
  • Policy As Code

    sickn33/agentic-awesome-skills

    Implement policy as code with OPA, Sentinel, and Kyverno. An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~3.1k tokens
    DevOps & CloudAuto-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 13 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 13 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 13 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 13 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 13 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 13 days ago
    Auto-check passed

Questions about Jppm Review Process

What does Jppm Review Process do?

A skill your agent uses when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R…. Jppm Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R typically demands.

When should I use Jppm Review Process?

Jppm Review Process fits situations like: calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic; the mixed reviewer pool; what an R&R typically demands.

How do I install Jppm Review Process in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-review-process -a claude-code`. Or copy the skill folder (Journal-of-Public-Policy-and-Marketing-Skills/skills/jppm-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jppm-review-process in your project. Claude Code loads it when a task matches its description.

How do I install Jppm Review Process in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-review-process -a codex`. Or copy the skill folder (Journal-of-Public-Policy-and-Marketing-Skills/skills/jppm-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jppm-review-process in your project. Codex loads it when a task matches its description.

Can I use Jppm Review Process 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 jppm-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jppm-review-process, .gemini/skills/jppm-review-process, .github/skills/jppm-review-process and .opencode/skills/jppm-review-process in your project.

What does Jppm Review Process need to run?

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

Does Jppm Review Process 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 Jppm Review Process 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 Jppm Review Process use?

Jppm Review Process 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 Jppm Review Process use?

About 1.5k tokens (SKILL.md is roughly 5.8k 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 Jppm Review Process?

Skills that share tags, products or a category with Jppm Review Process: Implementing Policy As Code With Open Policy Agent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Policy Acknowledgement (sickn33/agentic-awesome-skills, 47k stars), Privacy Policy (thedaviddias/Front-End-Checklist, 74k stars) and Editorial Policy (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jppm Review Process?

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.