Agent skill

Psychrev Contribution Framing

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

A skill your agent uses when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the…

MITAuto-check passedMarketing & SEO

Install Psychrev Contribution Framing

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

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

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

At a glance

A skill your agent uses when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the…

  • Works in 2 steps: What can the field explain after this… → Why could the prior models not get…
  • Stated against the specific prior models it improves on
  • SKILL.md covers When to trigger, The two questions every Review…, Sizing the contribution (be… and Differentiation discipline, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Psychrev Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the specific prior models it improves on. Frames the contribution; it does NOT build the model (psychrev-theory-construction) or position it in the literature (psychrev-literature-positioning).

Its SKILL.md is about 1.2k 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 Marketing & SEO. 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

  • Stated against the specific prior models it improves on

Example prompts

  • “/psychrev-contribution-framing”

Workflow steps

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

  1. What can the field explain after this paper that it could not before? Stated as a
  2. Why could the prior models not get there? Identify the specific commitment or omission

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

Psychrev Contribution Framing loads about 1.2k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 528 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 528 words, ~1,238 tokens.

Download SKILL.mdSave it as .claude/skills/psychrev-contribution-framing/SKILL.md (or your agent's skills folder).
name
psychrev-contribution-framing
description
Use when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the specific prior models it improves on. Frames the contribution; it does NOT build the model (psychrev-theory-construction) or position it in the literature (psychrev-literature-positioning).

Contribution Framing (psychrev-contribution-framing)

When to trigger

  • The theory is built, derived, and bounded; now you must say why it matters
  • You can describe what your model is but not what is new about it
  • A reviewer will ask "how is this an advance over [the standing model]?"
  • The contribution reads as "we propose a model of X" with no before → after

The two questions every Review reviewer asks

  1. What can the field explain after this paper that it could not before? Stated as a concrete before → after against a named prior model — not against "the literature."
  2. Why could the prior models not get there? Identify the specific commitment or omission in the rival that your theory replaces or adds. "More accurate fit" is rarely enough; the advance should be a mechanism or unification, not a better-tuned curve.

Sizing the contribution (be honest about which you have)

Contribution typeWhat it claimsStrength at Review
New mechanismA previously unexplained phenomenon now follows from a stated processStrong
UnificationPhenomena treated by separate theories follow from one modelStrong
AdjudicationSettles a standing dispute between rival theoriesStrong
FormalizationMakes a verbal theory precise and thereby newly predictiveStrong if it yields novel predictions
GeneralizationExtends a model to a new domain it could not reachModerate — must be non-trivial
Re-parameterizationSame model, better fitWeak — usually not a Review contribution
RelabelingNew name for an existing construct/mechanismNone — desk-reject signal

Differentiation discipline

  • State the contribution as "before this paper, theory could not X; after it, theory can X," naming the prior model displaced or extended.
  • Show the advance is not (a) a relabel, (b) a mere better fit, or (c) an accommodation of data the model was built on — each is a known reviewer objection at this journal.
  • Tie the contribution to the diagnostic phenomena and novel predictions from psychrev-argument-development: the advance is credible only if the model gets the diagnostic cases right and risks a falsifiable new one.
  • Where you formalize a verbal theory, the contribution is the new predictions the formalization yields, not the formalization itself.
Show full SKILL.md (178 more words)Show less

Generality, the journal's premium

Review pays for generality. The strongest contribution framing shows the mechanism reaches beyond the originating paradigm — "the same mechanism predicts patterns in [adjacent domain]." Claim only the generality the derivations support (per psychrev-boundary-conditions); overclaimed generality is as damaging as undersized contribution.

Checklist

  • Contribution stated as before → after against a named prior model
  • The specific commitment/omission in the rival that the theory replaces is identified
  • Contribution type is honestly sized (mechanism/unification/adjudication, not relabel/refit)
  • Shown not to be a relabel, a better fit, or an accommodation
  • Advance tied to diagnostic phenomena and at least one novel falsifiable prediction
  • Generality claimed only to the extent the derivations and scope support

Anti-patterns

  • "We propose a model of X" with no before → after and no named rival
  • Claiming an advance that is a better fit of the same mechanism
  • Relabeling an existing construct and presenting it as new theory
  • Differentiating from "the literature" instead of a specific model
  • Overclaiming generality the scope analysis does not support
  • Letting the contribution rest on accommodated data rather than novel prediction

Output format

【Before → after】before this paper, theory could not [...]; after it, theory can [...]
【Named rival displaced/extended】[model] — the commitment/omission replaced: [...]
【Contribution type】mechanism | unification | adjudication | formalization | generalization
【Not a relabel/refit】evidence: tied to diagnostic phenomena + novel prediction [...]
【Generality】[reach beyond originating paradigm, within stated scope]
【Next step】psychrev-review-process (understand masked review) → psychrev-submission

© 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 Psychological-Review-Skills/skills/psychrev-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Psychrev 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.

Psychrev Contribution Framing compared with similar skills
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Categories

Questions about Psychrev Contribution Framing

What does Psychrev Contribution Framing do?

A skill your agent uses when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the…. Psychrev Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the specific prior models it improves on.

When should I use Psychrev Contribution Framing?

Psychrev Contribution Framing fits situations like: stated against the specific prior models it improves on.

How do I install Psychrev Contribution Framing in Claude Code?

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

How do I install Psychrev Contribution Framing in Codex?

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

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

What does Psychrev Contribution Framing need to run?

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

Does Psychrev 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 Psychrev 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 Psychrev Contribution Framing use?

Psychrev 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 Psychrev Contribution Framing use?

About 1.2k tokens (SKILL.md is roughly 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 Psychrev Contribution Framing?

Skills that share tags, products or a category with Psychrev Contribution Framing: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Psychrev Contribution Framing?

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.