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Agent skill

Jppm Contribution Framing

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

A skill your agent uses when sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement, regulator-actionable…

MITAuto-check passedData & Analytics

Install Jppm Contribution Framing

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jppm-contribution-framing --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-contribution-framing .claude/skills/jppm-contribution-framing && 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-contribution-framing
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
668 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement, regulator-actionable…

  • Works in 4 steps: Named actor — a specific body (FTC, FDA,… → Within authority — the action lies… → Evidence-linked — the recommended choice… → …
  • Sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement
  • SKILL.md covers When to trigger, The Policy Contribution…, The actionability test and Evidence, not advocacy, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jppm Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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).

Its SKILL.md is about 1.4k 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 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

  • Sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement
  • Regulator-actionable implications
  • The line between evidence and advocacy

Example prompts

  • “/jppm-contribution-framing”

Workflow steps

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

  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…
  2. Within authority — the action lies inside that actor's legal instruments. Recommending the FTC set nutrition standards, or the FDA police…
  3. Evidence-linked — the recommended choice is one the paper's contrasts or estimates actually inform. If you tested icon vs. text warnings…
  4. Concrete enough to implement or reject — a reader at the agency could put it into a rule, guidance, enforcement priority, or comment…

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 Contribution Framing loads about 1.4k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 668 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 668 words, ~1,405 tokens.

Download SKILL.mdSave it as .claude/skills/jppm-contribution-framing/SKILL.md (or your agent's skills folder).
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.

Show full SKILL.md (281 more words)Show less

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

text
【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

© 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-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Categories

Questions about Jppm Contribution Framing

What does Jppm Contribution Framing do?

A skill your agent uses when sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement, regulator-actionable…. Jppm Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Jppm Contribution Framing?

Jppm Contribution Framing fits situations like: sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement; regulator-actionable implications; the line between evidence and advocacy.

How do I install Jppm Contribution Framing in Claude Code?

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

How do I install Jppm Contribution Framing in Codex?

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

Can I use Jppm Contribution Framing 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-contribution-framing -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-contribution-framing, .gemini/skills/jppm-contribution-framing, .github/skills/jppm-contribution-framing and .opencode/skills/jppm-contribution-framing in your project.

What does Jppm Contribution Framing need to run?

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

Does Jppm Contribution Framing 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 Contribution Framing 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 Contribution Framing use?

Jppm Contribution Framing 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 Contribution Framing use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Jppm Contribution Framing?

Skills that share tags, products or a category with Jppm Contribution Framing: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Exploratory Data Analysis (Oleafly/Oleafly, 209 stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jppm Contribution Framing?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.