Meridian MMM Model Building
google/meridian
Takes a user through building a Meridian marketing mix model, from loading CSV data and mapping columns to running EDA, fitting and saving the model.
Agent skill
Jcp Contribution Framing
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when sharpening the one-sentence contribution of a Journal of Consumer Psychology (JCP) manuscript so the novelty reads as a psychological PROCESS, not an effect.
Install Jcp Contribution Framing
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-contribution-framing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-Consumer-Psychology-Skills/skills/jcp-contribution-framing .claude/skills/jcp-contribution-framing && rm -rf skills-srcUse ~/.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/
Install the "jcp-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing into .claude/skills/jcp-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-contribution-framing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-contribution-framing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing .agents/skills/jcp-contribution-framing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jcp-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing into .agents/skills/jcp-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-contribution-framing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-contribution-framing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing .cursor/skills/jcp-contribution-framing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jcp-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing into .cursor/skills/jcp-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-contribution-framing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-contribution-framing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing .gemini/skills/jcp-contribution-framing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jcp-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing into .gemini/skills/jcp-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-contribution-framing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-contribution-framingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing .github/skills/jcp-contribution-framing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jcp-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing into .github/skills/jcp-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-contribution-framing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-contribution-framing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing .opencode/skills/jcp-contribution-framing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jcp-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing into .opencode/skills/jcp-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-contribution-framing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jcp-contribution-framing- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 522 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 one-sentence contribution of a Journal of Consumer Psychology (JCP) manuscript so the novelty reads as a psychological PROCESS, not an effect.
- Tasks that involve Marketing psychology
- SKILL.md covers When to trigger, The JCP contribution is a…, Three framings that land at JCP and Calibrating the claim to the…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Data analysis
What it does
Jcp Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the one-sentence contribution of a Journal of Consumer Psychology (JCP) manuscript so the novelty reads as a psychological PROCESS, not an effect. Frames the contribution; it does not build the theory (jcp-theory-development) or run analyses (jcp-data-analysis).
Its SKILL.md is about 1.1k 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 Marketing psychology and 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
- Tasks that involve Marketing psychology
- Tasks that involve Data analysis
Example prompts
- “/jcp-contribution-framing”
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
Jcp Contribution Framing loads about 1.1k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 522 words of instructions outside code blocks.
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). 522 words, ~1,137 tokens.
Download SKILL.mdSave it as
.claude/skills/jcp-contribution-framing/SKILL.md (or your agent's skills folder).- name
- jcp-contribution-framing
- description
- Use when sharpening the one-sentence contribution of a Journal of Consumer Psychology (JCP) manuscript so the novelty reads as a psychological PROCESS, not an effect. Frames the contribution; it does not build the theory (jcp-theory-development) or run analyses (jcp-data-analysis).
Contribution Framing (jcp-contribution-framing)
When to trigger
- Your "contribution" sentence describes an effect ("X increases Y") rather than a mechanism
- Reviewers say the finding is "interesting but incremental" or "not surprising"
- The abstract and intro promise more than the process evidence delivers (over-claiming)
- You have strong studies but cannot say in one line what the field learns about the consumer's mind
- Multiple contributions are listed and none is sharp
The JCP contribution is a process claim
A JCP contribution sentence has a specific shape: "We show that [antecedent] shapes [consumer outcome] because it [changes psychological state M], which means [implication / new boundary / overturned belief]." The "because" clause is the contribution. If your sentence stops at the comma after the outcome, you have an effect, and an effect alone is a reject. The framing job is to make the mechanism the headline and the effect merely the vehicle that reveals it.
The second JCP requirement is theoretical surprise or correction: the process should change what a knowledgeable reader expected — a non-obvious mediator, a reversal under a predicted condition, a reconciliation of conflicting accounts. "Confirms intuition" is not a JCP contribution; "explains why the intuitive account is wrong" is.
Three framings that land at JCP
| Framing | Template | When to use |
|---|---|---|
| Novel mechanism | "Effect E runs through unexpected process M, not the assumed P" | The effect is known but mis-attributed |
| Theory-test moderation | "Because the effect runs through M, it reverses when C blocks M" | You have strong moderation-of-process data |
| Reconciliation | "Conflicting findings F1/F2 are reconciled once M is recognized" | Two literatures disagree and your process resolves it |
Whichever you pick, lead with the mental process and the consumer stake in the same breath; JCP wants both theoretical interest and consumer relevance, but the process is primary.
Show full SKILL.md (230 more words)Show less
Calibrating the claim to the evidence
- Match scope to studies: do not claim a general process if every study used one population/stimulus. Bound the claim to what the moderation and replications support.
- Promote the strongest process study: the contribution sentence should be backed by your best design (manipulated mediator or moderation-of-process), not the weakest measured-mediation study.
- One contribution, stated once: a single sharp process claim beats a list of three. Subsidiary contributions (a new measure, a boundary) are support, not headlines.
- Name the practical payoff briefly: a sentence on what marketers/consumers can do with the mechanism — but never let practice replace the theoretical process as the contribution.
Checklist
- The contribution sentence contains a "because [process]" clause, not just an effect
- The process is theoretically non-obvious or corrects a prior belief
- The claim's scope matches the moderation/replication evidence (no over-generalization)
- The headline contribution is backed by the strongest process study, not the weakest
- There is one primary contribution, stated once and consistently across abstract/intro/discussion
- Consumer relevance is present but does not substitute for the psychological process
Anti-patterns
- Effect-as-contribution: "we find that X affects Y" with no because-clause
- Confirms-intuition framing: a result no informed reader would have doubted
- Over-claim: a universal process claim built on one stimulus/sample
- Contribution inflation: three or four "contributions" that dilute the one that matters
- Managerial bait-and-switch: leading with practice because the theoretical novelty is thin
Output format
【Contribution sentence】"…because it [process M]…" (one line, process-led)
【Why non-obvious】what informed reader belief it corrects/surprises
【Backing study】the strongest process design that supports it
【Scope bound】populations/stimuli the claim is limited to
【Consumer stake】one line of relevance (subordinate to the process)
【Next skill】jcp-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-Consumer-Psychology-Skills/skills/jcp-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jcp 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jcp Contribution Framing this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Meridian MMM Model Buildinggoogle/meridian | 1.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| 13 Data Analysis Globalminhnv0807/ai-business-skills | 609 | — | ~4k | Automated safety check: Pass | MIT | |
| Twitter Searchsundial-org/awesome-openclaw-skills | 663 | — | ~2.3k | Automated safety check: Pass | None | |
| Jibs Contribution Framingfranklee16/academic-research-skills | 223 | 1 repos | ~946 | Automated safety check: Pass | None | |
| Mgsci Contribution Framingfranklee16/academic-research-skills | 223 | 1 repos | ~864 | Automated safety check: Pass | None |
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Categories
Questions about Jcp Contribution Framing
What does Jcp Contribution Framing do?
A skill your agent uses when sharpening the one-sentence contribution of a Journal of Consumer Psychology (JCP) manuscript so the novelty reads as a psychological PROCESS, not an effect. Jcp Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the one-sentence contribution of a Journal of Consumer Psychology (JCP) manuscript so the novelty reads as a psychological PROCESS, not an effect.
When should I use Jcp Contribution Framing?
Jcp Contribution Framing fits situations like: tasks that involve Marketing psychology; tasks that involve Data analysis.
How do I install Jcp Contribution Framing in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a claude-code`. Or copy the skill folder (Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jcp-contribution-framing in your project. Claude Code loads it when a task matches its description.
How do I install Jcp Contribution Framing in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-contribution-framing -a codex`. Or copy the skill folder (Journal-of-Consumer-Psychology-Skills/skills/jcp-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jcp-contribution-framing in your project. Codex loads it when a task matches its description.
Can I use Jcp 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 jcp-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/jcp-contribution-framing, .gemini/skills/jcp-contribution-framing, .github/skills/jcp-contribution-framing and .opencode/skills/jcp-contribution-framing in your project.
What does Jcp Contribution Framing need to run?
SKILL.md names no scripts, command-line tools or credentials: Jcp Contribution Framing is instructions for the agent only.
Does Jcp 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 Jcp 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 Jcp Contribution Framing use?
Jcp 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 Jcp Contribution Framing use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 Jcp Contribution Framing?
Skills that share tags, products or a category with Jcp Contribution Framing: Meridian MMM Model Building (google/meridian, 1.6k stars), 13 Data Analysis Global (minhnv0807/ai-business-skills, 609 stars), Twitter Search (sundial-org/awesome-openclaw-skills, 663 stars) and Jibs Contribution Framing (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jcp 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.