Ito Compute
affaan-m/ECC
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately…
Agent skill
Psychrev Theory Construction
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal…
MITAuto-check passed
Install Psychrev Theory Construction
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-theory-construction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-theory-construction --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/Psychological-Review-Skills/skills/psychrev-theory-construction .claude/skills/psychrev-theory-construction && 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 "psychrev-theory-construction" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Psychological-Review-Skills/skills/psychrev-theory-construction into .claude/skills/psychrev-theory-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "psychrev-theory-construction", 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/Psychological-Review-Skills/skills/psychrev-theory-constructionType 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 psychrev-theory-construction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-theory-construction --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/Psychological-Review-Skills/skills/psychrev-theory-construction .agents/skills/psychrev-theory-construction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "psychrev-theory-construction" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Psychological-Review-Skills/skills/psychrev-theory-construction into .agents/skills/psychrev-theory-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "psychrev-theory-construction", 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 psychrev-theory-construction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-theory-construction --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/Psychological-Review-Skills/skills/psychrev-theory-construction .cursor/skills/psychrev-theory-construction && 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 "psychrev-theory-construction" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Psychological-Review-Skills/skills/psychrev-theory-construction into .cursor/skills/psychrev-theory-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "psychrev-theory-construction", 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 Psychological-Review-Skills/skills/psychrev-theory-construction--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 psychrev-theory-construction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills psychrev-theory-construction --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/Psychological-Review-Skills/skills/psychrev-theory-construction .gemini/skills/psychrev-theory-construction && 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 "psychrev-theory-construction" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Psychological-Review-Skills/skills/psychrev-theory-construction into .gemini/skills/psychrev-theory-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "psychrev-theory-construction", 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 psychrev-theory-constructionInstalls 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 psychrev-theory-construction -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/Psychological-Review-Skills/skills/psychrev-theory-construction .github/skills/psychrev-theory-construction && 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 "psychrev-theory-construction" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Psychological-Review-Skills/skills/psychrev-theory-construction into .github/skills/psychrev-theory-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "psychrev-theory-construction", 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 psychrev-theory-construction -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 psychrev-theory-construction --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/Psychological-Review-Skills/skills/psychrev-theory-construction .opencode/skills/psychrev-theory-construction && 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 "psychrev-theory-construction" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Psychological-Review-Skills/skills/psychrev-theory-construction into .opencode/skills/psychrev-theory-construction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "psychrev-theory-construction", 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
psychrev-theory-construction- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 566 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal…
- Works in 6 steps: State the assumptions (primitives). What… → Specify the mechanism — the why. The… → Formalize. Render the mechanism as math,… → …
- Building the actual theory
- SKILL.md covers When to trigger, The build order, Formal-model discipline (for… and Conceptual-model discipline…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Psychrev Theory Construction is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal structure, and derivations. Constructs the model; it does NOT derive and test predictions against data (that is psychrev-argument-development) or set scope and identifiability limits (psychrev-boundary-conditions).
Its SKILL.md is about 1.3k 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
- Building the actual theory
- Formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions
- Formal structure
Example prompts
- “/psychrev-theory-construction”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- State the assumptions (primitives). What entities, representations, and processes does
- Specify the mechanism — the why. The mechanism is the engine: the causal/dynamic
- Formalize. Render the mechanism as math, a computational process, or a precise
- Derive the model's behavior. Show what the model does: closed-form results where
- Connect to the explanandum. Map each posited mechanism to the phenomena it is meant to
- Distinguish theory from implementation. Be explicit about which results follow from the
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 Theory Construction loads about 1.3k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 566 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). 566 words, ~1,281 tokens.
Download SKILL.mdSave it as
.claude/skills/psychrev-theory-construction/SKILL.md (or your agent's skills folder).- name
- psychrev-theory-construction
- description
- Use when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal structure, and derivations. Constructs the model; it does NOT derive and test predictions against data (that is psychrev-argument-development) or set scope and identifiability limits (psychrev-boundary-conditions).
Theory & Model Construction (psychrev-theory-construction)
When to trigger
- The problem and the rivals are set; now you must build the theory
- You have intuitions but no explicit assumptions or mechanism
- Your "model" is a diagram with no specified dynamics or equations
- Verbal claims need to be made formal enough to derive predictions
The build order
A Psychological Review theory is assembled in a disciplined sequence. Skipping a step is the most common reason a draft reads as "a story, not a theory."
- State the assumptions (primitives). What entities, representations, and processes does the theory posit, and what is taken as given? Separate core commitments (the theory lives or dies by these) from auxiliary/implementational assumptions (convenient, replaceable). Reviewers attack hidden or load-bearing-but-unstated assumptions hardest.
- Specify the mechanism — the why. The mechanism is the engine: the causal/dynamic story by which the primitives produce the phenomena. A model without a mechanism is a curve-fit. State it in prose before you formalize it.
- Formalize. Render the mechanism as math, a computational process, or a precise conceptual structure. For a formal/computational model: give the equations or algorithm, define every parameter (psychological meaning, range, units), and state the functional forms and why those forms. A free parameter with no interpretation is a liability.
- Derive the model's behavior. Show what the model does: closed-form results where
possible, otherwise simulation. The behavior, not the equations alone, is the theory's
content. (Confront that behavior with data in
psychrev-argument-development.) - Connect to the explanandum. Map each posited mechanism to the phenomena it is meant to explain — and flag phenomena it leaves to other processes.
- Distinguish theory from implementation. Be explicit about which results follow from the core commitments versus from implementational choices, so a reviewer cannot dismiss the theory by attacking a replaceable detail.
Formal-model discipline (for computational/mathematical theories)
- Every parameter has a psychological interpretation, not just a fitted value.
- State functional forms and justify them theoretically, not by fit alone.
- Distinguish structural assumptions (architecture) from parametric ones (settings).
- If the model is fit to data, say so plainly and treat fit as illustration/constraint, not as the empirical contribution — the contribution is the theory.
- Plan for
psychrev-boundary-conditions: note where identifiability or scope may be at risk.
Show full SKILL.md (196 more words)Show less
Conceptual-model discipline (for non-formal frameworks)
- Each construct: a precise definition, what it includes and excludes, and how it differs from the nearest existing construct (no relabels).
- Each relationship: named form (causal, recursive, constitutive, inhibitory) and a mechanism.
- The framework must yield derivable predictions, even if stated verbally — generality without testable consequences is not a Review contribution.
Checklist
- Core commitments separated from auxiliary/implementational assumptions
- The mechanism (the why) is stated in prose before formalization
- Every parameter / construct has a psychological interpretation and stated range or domain
- Functional forms / relationship forms are justified theoretically
- The model's behavior is derived (closed-form or simulated), not just its equations listed
- Each mechanism is mapped to the phenomena it explains
- Theory-level results are distinguished from implementation-level choices
Anti-patterns
- A model that is a redescription of the data with enough free parameters to fit anything
- Parameters introduced with no psychological meaning ("a scaling constant" doing real work)
- Listing equations without ever showing what the model does
- Hidden core assumptions exposed later by a reviewer
- A "framework" of boxes and arrows with no mechanism and no derivable prediction
- Smuggling in a new experiment as the contribution — data only motivate or constrain here
Output format
【Assumptions】core commitments | auxiliary/implementational
【Mechanism】[the why, in prose]
【Formal structure】equations / algorithm / conceptual structure; parameters with meaning + range
【Model behavior】[derived results: closed-form or simulation summary]
【Explanandum map】mechanism → phenomena explained (and phenomena left to others)
【Next step】psychrev-argument-development (derive predictions, confront data + rivals)© 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-theory-construction of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Psychrev Theory Construction 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 |
|---|---|---|---|---|---|---|
| Psychrev Theory Construction this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Ito Computeaffaan-m/ECC | 277k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Senior Computer Visiondavila7/claude-code-templates | 33k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Senior Computer Visionalirezarezvani/claude-skills | 28k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| GCP Computesickn33/agentic-awesome-skills | 47k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Computer UseQwenLM/qwen-code | 28k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Senior Computer Vision
davila7/claude-code-templates
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems.
Senior Computer Vision
alirezarezvani/claude-skills
Computer vision engineering skill for object detection, image segmentation, and visual AI systems.
GCP Compute
sickn33/agentic-awesome-skills
Manage Compute Engine instances and instance templates. An agent skill from sickn33/agentic-awesome-skills.
Computer Use
QwenLM/qwen-code
Control local desktop applications through Computer Use for tasks that require reading or operating app UI.
0G Compute Network Guide
internet-court/internet-court-skill
Guides building on the 0G Compute Network, a decentralized GPU marketplace for AI inference and fine-tuning, with SDK patterns and CLI commands.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag 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…
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…
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…
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…
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…
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…
Questions about Psychrev Theory Construction
What does Psychrev Theory Construction do?
A skill your agent uses when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal…. Psychrev Theory Construction is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal structure, and derivations.
When should I use Psychrev Theory Construction?
Psychrev Theory Construction fits situations like: building the actual theory; formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions; formal structure.
How do I install Psychrev Theory Construction in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-theory-construction -a claude-code`. Or copy the skill folder (Psychological-Review-Skills/skills/psychrev-theory-construction in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/psychrev-theory-construction in your project. Claude Code loads it when a task matches its description.
How do I install Psychrev Theory Construction in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-theory-construction -a codex`. Or copy the skill folder (Psychological-Review-Skills/skills/psychrev-theory-construction in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/psychrev-theory-construction in your project. Codex loads it when a task matches its description.
Can I use Psychrev Theory Construction 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-theory-construction -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-theory-construction, .gemini/skills/psychrev-theory-construction, .github/skills/psychrev-theory-construction and .opencode/skills/psychrev-theory-construction in your project.
What does Psychrev Theory Construction need to run?
SKILL.md names no scripts, command-line tools or credentials: Psychrev Theory Construction is instructions for the agent only.
Does Psychrev Theory Construction 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 Theory Construction 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 Theory Construction use?
Psychrev Theory Construction 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 Theory Construction use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Theory Construction?
Skills that share tags, products or a category with Psychrev Theory Construction: Ito Compute (affaan-m/ECC, 277k stars), Senior Computer Vision (davila7/claude-code-templates, 33k stars), Senior Computer Vision (alirezarezvani/claude-skills, 28k stars) and GCP Compute (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Psychrev Theory Construction?
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.