New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Red Contribution Framing

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

A skill your agent uses when framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative or dynamic advance in terms the SED readership values (a…

MITAuto-check passed

Install Red Contribution Framing

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

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

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

At a glance

A skill your agent uses when framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative or dynamic advance in terms the SED readership values (a…

  • Works in 4 steps: Closest dynamic model: the predecessor… → Mechanism delta: the one force the old… → Quantitative delta: the moment,… → …
  • Framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative
  • SKILL.md covers When to trigger, Framing a RED contribution, Checklist and Anti-patterns, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Red Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative or dynamic advance in terms the SED readership values (a new mechanism, a new method, a new quantitative result, or model-disciplining evidence) and aligning the abstract and introduction around it.

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.

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

  • Framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative
  • Dynamic advance in terms the SED readership values (a new mechanism
  • A new quantitative result
  • Model-disciplining evidence) and aligning the abstract and introduction around it

Example prompts

  • “/red-contribution-framing”

Workflow steps

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

  1. Closest dynamic model: the predecessor model, method, or calibration the paper changes.
  2. Mechanism delta: the one force the old model missed and the new model turns on.
  3. Quantitative delta: the moment, transition path, welfare number, or policy response that moves.
  4. Scope delta: the class of economies, shocks, agents, or constraints where the result is meant to hold.

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

Red Contribution Framing loads about 1.4k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 644 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
~1.4k

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). 644 words, ~1,366 tokens.

Download SKILL.mdSave it as .claude/skills/red-contribution-framing/SKILL.md (or your agent's skills folder).
name
red-contribution-framing
description
Use when framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative or dynamic advance in terms the SED readership values (a new mechanism, a new method, a new quantitative result, or model-disciplining evidence) and aligning the abstract and introduction around it.

Contribution Framing for RED (red-contribution-framing)

When to trigger

  • Distilling "what is new" before drafting the abstract and introduction
  • A paper with several results but no clear single advance
  • Translating a technical contribution into something the SED audience immediately grasps

Framing a RED contribution

RED rewards a sharp, dynamic/quantitative contribution. Pick the dominant type and lead with it:

  • New mechanism — a dynamic force (e.g., a feedback through expectations, distribution, or accumulation) that changes the model's predictions; show what turns it on and what it does to key moments.
  • New method — a solution, estimation, or computational technique that makes a class of dynamic models tractable or more accurate; show the gain over the prior state of the art.
  • New quantitative result — a calibrated/estimated model delivering a magnitude that matters for theory or policy; lead with the number and the moment it matches.
  • Model-disciplining evidence — empirical dynamics that pin down or refute a model element.

State the contribution as a delta against the closest existing model, not as a description of the paper. Make the abstract (≤250 words, stand-alone) carry the headline result and magnitude; the introduction should make the mechanism legible before the math.

Checklist

  • One dominant contribution type is chosen and leads the abstract/intro
  • The advance is stated as a quantitative/mechanistic delta with a magnitude where possible
  • The contribution is framed for the SED/dynamic-economics readership
  • No diffuse "we also do X, Y, Z" list crowding out the headline

Anti-patterns

  • Framing the paper as a tour of results rather than one clear advance
  • Hiding the magnitude or the mechanism behind notation
  • Claiming generality the model or evidence does not support

Contribution stress test

Before declaring the framing done, write these four objects:

  1. Closest dynamic model: the predecessor model, method, or calibration the paper changes.
  2. Mechanism delta: the one force the old model missed and the new model turns on.
  3. Quantitative delta: the moment, transition path, welfare number, or policy response that moves.
  4. Scope delta: the class of economies, shocks, agents, or constraints where the result is meant to hold.

If the answer to item 2 is only "we use newer data," the paper is probably not framed as a RED contribution yet. Route to red-literature-positioning or red-identification-strategy.

Show full SKILL.md (275 more words)Show less

Worked vignette: framing a HANK liquidity paper

Suppose a draft solves a two-asset HANK model and finds fiscal transfers raise consumption more when liquid wealth is concentrated near the borrowing constraint. Run the stress test (numbers illustrative):

  1. Closest dynamic model: a one-asset Bewley–Huggett economy in which the transfer multiplier is small.
  2. Mechanism delta: the liquid/illiquid portfolio friction puts ~30% of households in a high-MPC region.
  3. Quantitative delta: the cumulative consumption response to a 1%-of-GDP transfer rises from 0.3 to 0.55 — substitute the paper's own numbers.
  4. Scope delta: holds in economies whose liquid-wealth distribution matches SCF moments; knife-edge if portfolio adjustment costs go to zero.

The abstract leads with item 3 and names item 2; items 1 and 4 belong in the introduction's second and closing paragraphs.

Contribution statement block

Draft the framing as a fill-in block before touching the abstract:

【Closest model】[author-year + one-line description of the predecessor economy]
【Mechanism delta】[the dynamic force turned on: friction, shock process, heterogeneity margin]
【Quantitative delta】[moment / transition path / welfare number that moves, with magnitude and units]
【Discipline】[which calibrated or estimated targets pin the new force down]
【Scope】[class of economies where the claim holds; the knife-edge case]
【One-sentence pitch】[the sentence an SED discussant would put on slide 1]

If 【Quantitative delta】 is empty, the paper is a theory note — defensible at RED, but the framing must then lead with the mechanism and its analytic characterization instead of a number.

Referee pushback on contribution claims

Pushback heard at REDVenue-specific fix
"The mechanism already exists in [closest paper]"Show the moment or transition path the predecessor cannot generate, not just a modeling difference
"The magnitude is calibration-driven"Re-run the delta under the predecessor's calibration; separate mechanism from parameter choice
"This is a comparative static, not dynamics"Lead with the transition path or IRF; if a steady-state comparison is the point, argue why adjustment dynamics are second-order
"Headline number lacks discipline"Tie it to explicit targeted moments and show untargeted fit beside it

Supplementary resources

© 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 Review-of-Economic-Dynamics-Skills/skills/red-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Red Contribution Framing 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.

Red Contribution Framing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Red Contribution Framing this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Contributemindfold-ai/Trellis15k—~2.7kAutomated safety check: PassAGPL-3.0
Contributesuperset-sh/superset15k—~624Automated safety check: PassCustom licence
Review Of Economic Dynamicsfranklee16/academic-research-skills2231 repos~1.5kAutomated safety check: PassNone
Contributingkortix-ai/suna20k—~3kAutomated safety check: WarnCustom licence
Dynamic Workflow Modeaffaan-m/ECC276k1 repos~1.3kAutomated safety check: PassMIT

Similar skills

  • Contribute

    mindfold-ai/Trellis

    Guide for contributing to Trellis documentation and marketplace.

    15k GitHub stars~2.7k tokensUpdated 10 days ago
    DevelopmentAuto-check passed

  • Contribute

    superset-sh/superset

    Set up a Superset open-source contribution, from forking and cloning superset-sh/superset through local dev setup and the repo's rules to a merge-ready PR.

    15k GitHub stars~624 tokensUpdated today
    DevelopmentAuto-check passed

  • Review Of Economic Dynamics

    franklee16/academic-research-skills

    A skill your agent uses when targeting Review of Economic Dynamics (RED) or deciding whether a quantitative-macro / dynamic-economics manuscript fits this venue.

    223 GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed

  • Contributing

    kortix-ai/suna

    The pull request loop for this repo: branch → commit → verify in your own box (local tests + local stack) → PR into main → demo video recorded with agent-browser on the local stack → gh --attach →…

    20k GitHub stars~3k tokensUpdated today
    DevelopmentAuto-check: warnings

  • Dynamic Workflow Mode

    affaan-m/ECC

    Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.

    276k GitHub starsUsed in 1 repo~1.3k tokens
    Auto-check passed

  • Frame Title

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Provide titles for iframes and frames.

    74k GitHub stars~438 tokensUpdated 3 days ago
    Frontend & DesignAuto-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 12 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 12 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 12 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 12 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 12 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 12 days ago
    Auto-check passed

Questions about Red Contribution Framing

What does Red Contribution Framing do?

A skill your agent uses when framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative or dynamic advance in terms the SED readership values (a…. Red Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative or dynamic advance in terms the SED readership values (a new mechanism, a new method, a new quantitative result, or model-disciplining evidence) and aligning the abstract and introduction around it.

When should I use Red Contribution Framing?

Red Contribution Framing fits situations like: framing the marginal contribution of a Review of Economic Dynamics (RED) manuscript — stating the quantitative; dynamic advance in terms the SED readership values (a new mechanism; A new quantitative result; model-disciplining evidence) and aligning the abstract and introduction around it.

How do I install Red Contribution Framing in Claude Code?

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

How do I install Red Contribution Framing in Codex?

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

Can I use Red 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 red-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/red-contribution-framing, .gemini/skills/red-contribution-framing, .github/skills/red-contribution-framing and .opencode/skills/red-contribution-framing in your project.

What does Red Contribution Framing need to run?

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

Does Red 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 Red 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 Red Contribution Framing use?

Red 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 Red Contribution Framing use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 Red Contribution Framing?

Skills that share tags, products or a category with Red Contribution Framing: Contribute (mindfold-ai/Trellis, 15k stars), Contribute (superset-sh/superset, 15k stars), Review Of Economic Dynamics (franklee16/academic-research-skills, 223 stars) and Contributing (kortix-ai/suna, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Red 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.