Paper Review
EvoScientist/EvoSkills
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing.
A skill your agent uses when you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review, the action-editor model, the dual gate of…
Install Joap Review Process
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-review-process --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-Applied-Psychology-Skills/skills/joap-review-process .claude/skills/joap-review-process && 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 "joap-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-review-process into .claude/skills/joap-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-review-process", 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-Applied-Psychology-Skills/skills/joap-review-processType 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 joap-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-review-process --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-Applied-Psychology-Skills/skills/joap-review-process .agents/skills/joap-review-process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "joap-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-review-process into .agents/skills/joap-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-review-process", 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 joap-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-review-process --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-Applied-Psychology-Skills/skills/joap-review-process .cursor/skills/joap-review-process && 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 "joap-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-review-process into .cursor/skills/joap-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-review-process", 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-Applied-Psychology-Skills/skills/joap-review-process--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 joap-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-review-process --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-Applied-Psychology-Skills/skills/joap-review-process .gemini/skills/joap-review-process && 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 "joap-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-review-process into .gemini/skills/joap-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-review-process", 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 joap-review-processInstalls 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 joap-review-process -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-Applied-Psychology-Skills/skills/joap-review-process .github/skills/joap-review-process && 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 "joap-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-review-process into .github/skills/joap-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-review-process", 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 joap-review-process -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 joap-review-process --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-Applied-Psychology-Skills/skills/joap-review-process .opencode/skills/joap-review-process && 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 "joap-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Psychology-Skills/skills/joap-review-process into .opencode/skills/joap-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "joap-review-process", 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
joap-review-process- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 519 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review, the action-editor model, the dual gate of…
- Works in 6 steps: Masked review. Author identities are… → Editorial triage. The editor / action… → Action-editor model. An associate/action… → …
- You need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review
- SKILL.md covers When to trigger, How review works, The dual gate (what gets… and Desk-reject and…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Joap Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review, the action-editor model, the dual gate of theoretical contribution and measurement/design rigor, and common desk-reject patterns. Use when stress-testing a paper before submission or interpreting a decision letter. Sets expectations and shapes the paper to survive review; it does not contact editors.
Its SKILL.md is about 1.5k 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 Research & Science, covering Load testing and Peer review. 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
- You need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review
- The action-editor model
- The dual gate of theoretical contribution and measurement/design rigor
- Common desk-reject patterns
Example prompts
- “/joap-review-process”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Masked review. Author identities are withheld throughout consideration; keep names out of the
- Editorial triage. The editor / action editor screens for fit, theoretical contribution, and
- Action-editor model. An associate/action editor manages the manuscript and several reviewers and
- External review assesses the theoretical contribution, construct validity and measurement,
- Transparency is weighed. TOP-aligned data/materials/code sharing and preregistration factor into
- Decisions. Reject, major/minor revise-and-resubmit, or accept; expect a demanding R&R, often
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
Joap Review Process loads about 1.5k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 519 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). 519 words, ~1,509 tokens.
Download SKILL.mdSave it as
.claude/skills/joap-review-process/SKILL.md (or your agent's skills folder).- name
- joap-review-process
- description
- Use when you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review, the action-editor model, the dual gate of theoretical contribution and measurement/design rigor, and common desk-reject patterns. Use when stress-testing a paper before submission or interpreting a decision letter. Sets expectations and shapes the paper to survive review; it does not contact editors.
Review Process (joap-review-process)
JAP is selective and exacting. Reviewers and the action editor weigh theoretical contribution and methodological rigor together — an interesting finding with weak measurement, and a flawless design with no theory advance, are both common rejections. Review is masked (anonymized). Knowing how the gate works lets you pre-empt the standard rejection reasons.
When to trigger
- Before submitting, to stress-test the manuscript
- Deciding how to frame the contribution and rigor for masked reviewers
- Interpreting a decision letter and setting expectations
How review works
- Masked review. Author identities are withheld throughout consideration; keep names out of the
manuscript and out of repository/preregistration links (see
joap-submission). - Editorial triage. The editor / action editor screens for fit, theoretical contribution, and rigor; weak-fit or atheoretical papers are frequently desk rejected without full review.
- Action-editor model. An associate/action editor manages the manuscript and several reviewers and writes the decision; the editor's letter is the rubric you must satisfy on revision.
- External review assesses the theoretical contribution, construct validity and measurement, design and causal warrant, analysis (SEM/HLM/mediation/meta-analysis), and transparency.
- Transparency is weighed. TOP-aligned data/materials/code sharing and preregistration factor into evaluation; opacity is a mark against the paper.
- Decisions. Reject, major/minor revise-and-resubmit, or accept; expect a demanding R&R, often across multiple rounds, before acceptance.
The dual gate (what gets papers in)
| Gate | What reviewers ask | Where to fix it |
|---|---|---|
| Theoretical contribution | Is there a new mechanism/boundary/integration? | joap-theory-and-hypotheses, joap-literature-positioning |
| Construct validity / measurement | Are the constructs validly measured? | joap-study-design |
| Causal / inferential warrant | Does the design support the claim (CMV, nesting)? | joap-study-design, joap-data-analysis |
| Analytic rigor | SEM fit, indirect-effect CIs, multilevel done right? | joap-data-analysis |
| Transparency | Data/materials/code shared under TOP? | joap-open-science-and-transparency |
Show full SKILL.md (244 more words)Show less
Desk-reject and decline-without-review patterns
The dual gate means many manuscripts never reach external review. Confirm current categories on the official page, but recognize these shapes:
| Pattern an editor sees | Likely outcome | Pre-empt it by |
|---|---|---|
| Rigorous study, no theoretical advance | desk reject | state the new mechanism/boundary/integration up front |
| Cross-sectional single-source self-report | desk reject (rigor) | add temporal/source separation or an experimental leg |
| Better fit for a sibling venue | desk reject (fit) | make the I-O micro/measurement contribution explicit |
| Mediation by Sobel/steps; OLS on nested data | thin-method flag | modern indirect-effect CIs; multilevel models |
| "Data available on request," no DOIs | returned for compliance | deposit with persistent IDs before submitting |
Worked micro-example (illustrative triage)
Manuscript: two-wave multilevel field study (612 in 74 teams) + lab experiment,
servant leadership → safety → performance, open data/materials/code,
experiment preregistered, indirect-effect CI reported.
Editor read: contribution (cross-level mechanism + boundary), rigor (temporal +
multilevel + experimental leg), transparency (TOP-aligned — strong).
Likely route: external review, probable major R&R (added robustness/alternative
models, sharper boundary theory).
Counter-case: same finding, one cross-sectional single-source survey, no prereg,
request-only data → likely desk reject.How reviewers weigh the evidence (calibration anchors)
- The single strongest signal is theory + rigor together: a clear mechanism and a design that can bear the causal/cumulative claim. Either alone usually loses.
- A causal leg (experiment or field experiment) attached to a field study converts "interesting correlation" into "credible mechanism."
- Transparency is weighed, not pass/fail — a candid exemption with an access path reads better than silent opacity; preregistration quality matters more than mere presence.
- Expect multiple R&R rounds; reviewers test alternative explanations and measurement rivals hard.
Anti-patterns
- A rigorous but atheoretical paper (the venue's most common rejection)
- Cross-sectional single-source self-report as the whole evidentiary base
- Exploratory results dressed as confirmatory
- Weak or absent transparency (counts against the paper)
- Expecting acceptance without a demanding, multi-round R&R
Output format
【Theoretical contribution】clear + new? [Y/N]
【Construct validity / measurement】adequate? [Y/N]
【Causal / inferential warrant】CMV + nesting handled? [Y/N]
【Analytic rigor】SEM fit / indirect CIs / multilevel correct? [Y/N]
【Transparency】data/materials/code + preregistration strong? [Y/N]
【Realistic outcome】desk reject / R&R / accept
【Next】joap-submission (or joap-rebuttal if decided)Supplementary resources
../../resources/official-source-map.md— masked review model, TOP weighting, action-editor process
© 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-Applied-Psychology-Skills/skills/joap-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Joap Review Process 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 |
|---|---|---|---|---|---|---|
| Joap Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Paper ReviewEvoScientist/EvoSkills | 478 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Weakness Scannerflonat/flonat-research | 146 | — | ~1.5k | Automated safety check: Pass | MIT | |
| LLM Counciltenfoldmarc/llm-council-skill | 823 | 1 repos | ~4.2k | Automated safety check: Pass | None | |
| Paper ReviewCamusGIT/EvoQuant | 151 | 2 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Review Paperpedrohcgs/claude-code-my-workflow | 1.7k | — | ~7.3k | Automated safety check: Pass | MIT |
Similar skills
Weakness Scanner
flonat/flonat-research
Identify recurring weak arguments, unsupported assumptions, and vulnerable inference patterns across a literature corpus.
LLM Council
tenfoldmarc/llm-council-skill
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
Paper Review
CamusGIT/EvoQuant
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing.
Review Paper
pedrohcgs/claude-code-my-workflow
Comprehensive manuscript review with three modes: single-pass (default), --adversarial critic-fixer loop, and --peer [journal] simulated peer-review pipeline (editor + 2 dispositioned referees +…
Grant Mock Reviewer
aipoch/medical-research-skills
Simulate structured grant peer review for biomedical proposals; use when stress-testing significance, innovation, approach, feasibility, and reviewer-facing weaknesses before submission.
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…
Related
Categories
Questions about Joap Review Process
What does Joap Review Process do?
A skill your agent uses when you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review, the action-editor model, the dual gate of…. Joap Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review, the action-editor model, the dual gate of theoretical contribution and measurement/design rigor, and common desk-reject patterns.
When should I use Joap Review Process?
Joap Review Process fits situations like: you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review; the action-editor model; the dual gate of theoretical contribution and measurement/design rigor; common desk-reject patterns.
How do I install Joap Review Process in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-review-process -a claude-code`. Or copy the skill folder (Journal-of-Applied-Psychology-Skills/skills/joap-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/joap-review-process in your project. Claude Code loads it when a task matches its description.
How do I install Joap Review Process in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-review-process -a codex`. Or copy the skill folder (Journal-of-Applied-Psychology-Skills/skills/joap-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/joap-review-process in your project. Codex loads it when a task matches its description.
Can I use Joap Review Process 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 joap-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/joap-review-process, .gemini/skills/joap-review-process, .github/skills/joap-review-process and .opencode/skills/joap-review-process in your project.
What does Joap Review Process need to run?
SKILL.md names no scripts, command-line tools or credentials: Joap Review Process is instructions for the agent only.
Does Joap Review Process 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 Joap Review Process 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 Joap Review Process use?
Joap Review Process 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 Joap Review Process use?
About 1.5k tokens (SKILL.md is roughly 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 Joap Review Process?
Skills that share tags, products or a category with Joap Review Process: Paper Review (EvoScientist/EvoSkills, 478 stars), Weakness Scanner (flonat/flonat-research, 146 stars), LLM Council (tenfoldmarc/llm-council-skill, 823 stars) and Paper Review (CamusGIT/EvoQuant, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Joap Review Process?
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.