Agent Skillsbrycewang-stanford/Awesome-Journal-Skills › jppm-contribution-framing

jppm-contribution-framing

GitHub

辅助优化公共政策与营销期刊的投稿稿件,重点打磨300字政策贡献声明,确保建议具有监管可操作性且基于证据而非单纯倡导。

Journal-of-Public-Policy-and-Marketing-Skills/skills/jppm-contribution-framing/SKILL.md brycewang-stanford/Awesome-Journal-Skills

Trigger Scenarios

政策贡献声明草稿空洞或缺失要素 影响部分仅泛泛而谈而未指定具体行动者 研究结果扎实但未能关联到具体决策场景

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-contribution-framing -g -y
More Options

Non-standard path

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Public-Policy-and-Marketing-Skills/skills/jppm-contribution-framing -g -y

Use without installing

npx skills use brycewang-stanford/Awesome-Journal-Skills@jppm-contribution-framing

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-contribution-framing -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "jppm-contribution-framing",
    "description": "Use when sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement, regulator-actionable implications, and the line between evidence and advocacy. Frames the contribution; it does not produce the estimates (jppm-data-analysis)."
}

Contribution Framing (jppm-contribution-framing)

When to trigger

  • The Policy Contribution Statement draft is generic or missing one of its three required elements
  • The implications section says "policymakers should consider" and stops
  • Findings are solid but you cannot connect them to a decision anyone faces
  • The paper drifts into recommending policies the data never tested
  • Reviewers might read the framing as advocacy rather than evidence

The Policy Contribution Statement is the contribution

JPP&M requires every submission to open the main document with a Policy Contribution Statement of at most 300 words (it does not count against the 50-page cap). It must do three things, per the journal's guidelines: (1) name the policy conversation the paper initiates or joins; (2) state how the manuscript moves understanding beyond the existing marketing-and-public-policy literature; (3) identify which specific policy stakeholders are affected and how. Treat this statement as the paper's thesis, not an administrative form — editors use it for desk-screening and reviewers read it first. If the statement cannot be written crisply, the problem is upstream (fit or evidence), not wording.

A working shape: "Agencies X and Y are currently deciding D. Existing work establishes A but cannot tell them B. Using [design], we show E [magnitude, for whom]. This implies stakeholder X should [specific action within its authority], while marketers subject to the rule should [specific response]."

The actionability test

For each implication, ask four questions; all must pass:

  1. Named actor — a specific body (FTC, FDA, CFPB, USDA, state AGs, a self-regulatory program like CARU/NAD, an NGO, or firms facing the rule), not "policymakers."
  2. Within authority — the action lies inside that actor's legal instruments. Recommending the FTC set nutrition standards, or the FDA police deceptive pricing, signals the authors don't know the terrain.
  3. Evidence-linked — the recommended choice is one the paper's contrasts or estimates actually inform. If you tested icon vs. text warnings, you can advise on format — not on whether warnings beat taxes.
  4. Concrete enough to implement or reject — a reader at the agency could put it into a rule, guidance, enforcement priority, or comment letter tomorrow.

Marketers are stakeholders too: what should a compliant firm change in labeling, targeting, data practice, or claims substantiation? A JPP&M implication set that speaks to both the regulator and the regulated is stronger than one that lectures only the agency.

Evidence, not advocacy

JPP&M welcomes normatively motivated questions but punishes advocacy untethered from results. Discipline the frame: report what the intervention does and does not achieve; keep recommendation strength proportional to identification strength (a lab study "suggests"; a well-identified evaluation "shows"); surface the trade-offs (costs to firms, burden on consumers, speech concerns) even when they cut against the preferred conclusion. Papers that acknowledge the strongest counterargument to their own implication read as trustworthy; papers that hide it read as briefs.

Calibrating claims to evidence

  • Scope: bound the claim to the tested population, product category, and format; flag the extrapolation needed to reach the policy scale.
  • Magnitude honesty: lead with the decision-unit effect and its CI, not with the significance.
  • Null and backfire results are contributions: "the mandated format does not help, and here is why" is publishable and policy-critical here — do not bury it.
  • One primary implication: a single well-defended recommendation beats a scattershot list of six.

Checklist

  • Policy Contribution Statement ≤300 words, covering conversation / advance / stakeholders
  • Every implication names an actor, sits within its authority, and is evidence-linked
  • Implications address both regulator and regulated marketers where relevant
  • Recommendation strength matches identification strength
  • Trade-offs and the strongest counterargument are stated
  • Nulls, boundary conditions, and unintended effects appear in the framing, not the footnotes

Anti-patterns

  • The bolted-on paragraph: a consumer study with policy vocabulary appended in the discussion — JPP&M's signature desk reject
  • Ghost-actor implications: advice addressed to "policymakers" or "society"
  • Authority errors: recommendations outside the named agency's legal instruments
  • Advocacy leakage: recommendation strength driven by conviction rather than estimates
  • Implication inflation: six recommendations from one manipulation
  • Buried backfire: an unintended consequence found in the data but absent from the statement

Output format

【Policy Contribution Statement】conversation / advance / stakeholders (≤300 words, drafted)
【Primary implication】named actor + instrument + specific action
【Marketer-facing implication】what regulated firms should change
【Evidence link】which estimate licenses each recommendation
【Trade-offs stated】costs, burdens, counterargument acknowledged? [Y/N]
【Next skill】jppm-tables-figures

Version History

  • 9f86f09 Current 2026-07-19 16:48

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Metadata

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Version
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Indexed
2026-07-19 16:48

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