Matlab
zLanqing/codex-claude-academic-skills
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
A skill your agent uses when analyzing and reporting results for a Journal of Educational Psychology manuscript.
Install Jedpsych Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-data-analysis --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-Educational-Psychology-Skills/skills/jedpsych-data-analysis .claude/skills/jedpsych-data-analysis && 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 "jedpsych-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis into .claude/skills/jedpsych-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-data-analysis", 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-Educational-Psychology-Skills/skills/jedpsych-data-analysisType 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 jedpsych-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-data-analysis --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-Educational-Psychology-Skills/skills/jedpsych-data-analysis .agents/skills/jedpsych-data-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jedpsych-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis into .agents/skills/jedpsych-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-data-analysis", 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 jedpsych-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-data-analysis --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-Educational-Psychology-Skills/skills/jedpsych-data-analysis .cursor/skills/jedpsych-data-analysis && 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 "jedpsych-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis into .cursor/skills/jedpsych-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-data-analysis", 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-Educational-Psychology-Skills/skills/jedpsych-data-analysis--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 jedpsych-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-data-analysis --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-Educational-Psychology-Skills/skills/jedpsych-data-analysis .gemini/skills/jedpsych-data-analysis && 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 "jedpsych-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis into .gemini/skills/jedpsych-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-data-analysis", 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 jedpsych-data-analysisInstalls 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 jedpsych-data-analysis -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-Educational-Psychology-Skills/skills/jedpsych-data-analysis .github/skills/jedpsych-data-analysis && 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 "jedpsych-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis into .github/skills/jedpsych-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-data-analysis", 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 jedpsych-data-analysis -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 jedpsych-data-analysis --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-Educational-Psychology-Skills/skills/jedpsych-data-analysis .opencode/skills/jedpsych-data-analysis && 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 "jedpsych-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis into .opencode/skills/jedpsych-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jedpsych-data-analysis", 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
jedpsych-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~2k tokens
- SKILL.md length
- 726 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when analyzing and reporting results for a Journal of Educational Psychology manuscript.
- Works in 5 steps: Respect the nesting. Use multilevel… → Educationally meaningful effect sizes +… → Test the mechanism. JEP is… → …
- Analyzing and reporting results for a Journal of Educational Psychology manuscript
- SKILL.md covers When to trigger, Reporting norms JEP expects, Robustness and missing data and Worked micro-example…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jedpsych Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when analyzing and reporting results for a Journal of Educational Psychology manuscript. JEP expects analyses that respect nesting (multilevel/SEM/growth models), report educationally meaningful effect sizes with confidence intervals, test mechanisms (mediation/moderation), and follow JARS with full disclosure. Guides analysis norms; it does not fabricate results.
Its SKILL.md is about 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 Data & Analytics, covering Statistics, Data analysis and Dispute resolution. 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
- Analyzing and reporting results for a Journal of Educational Psychology manuscript
- Tasks that involve Statistics
- Tasks that involve Data analysis
Example prompts
- “/jedpsych-data-analysis”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Respect the nesting. Use multilevel (hierarchical linear) models, SEM, or growth models that
- Educationally meaningful effect sizes + uncertainty. Report a standardized effect (e.g., Hedges's
- Test the mechanism. JEP is theory-driven: where the hypothesis includes a learning/motivational
- Full disclosure (JARS). Report how sample size was determined, all conditions and measures, all
- Appropriate inference. Justify the model; report assumptions/diagnostics and fit indices for SEM;
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
Jedpsych Data Analysis loads about 2k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 726 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). 726 words, ~1,956 tokens.
Download SKILL.mdSave it as
.claude/skills/jedpsych-data-analysis/SKILL.md (or your agent's skills folder).- name
- jedpsych-data-analysis
- description
- Use when analyzing and reporting results for a Journal of Educational Psychology manuscript. JEP expects analyses that respect nesting (multilevel/SEM/growth models), report educationally meaningful effect sizes with confidence intervals, test mechanisms (mediation/moderation), and follow JARS with full disclosure. Guides analysis norms; it does not fabricate results.
Data Analysis (jedpsych-data-analysis)
The Journal of Educational Psychology holds analyses to the standards of a rigorous psychological research journal operating in nested educational settings. The recurring requirements are: model the nesting (students in classes in schools), report effect sizes with confidence intervals that are educationally interpretable, test the mechanism (mediation/moderation), and disclose fully under JARS. Analysis scripts and data are expected to be shareable and reproducible.
When to trigger
- Running and reporting the main and supporting analyses
- A reviewer asked for multilevel modeling, effect sizes, mechanism tests, or disclosure
- Reconciling preregistered analyses with exploratory follow-ups
- Preparing analysis scripts and a codebook for deposit
Reporting norms JEP expects
- Respect the nesting. Use multilevel (hierarchical linear) models, SEM, or growth models that account for students nested in classrooms/schools. Cluster-robust or random-effects inference is expected; ignoring clustering deflates standard errors and is a standard JEP rejection reason.
- Educationally meaningful effect sizes + uncertainty. Report a standardized effect (e.g., Hedges's g, a multilevel d, R²/variance explained, or a growth-rate difference) with a confidence interval, and interpret it in learning terms (e.g., months of progress, percentile shift) — not just p-values and stars.
- Test the mechanism. JEP is theory-driven: where the hypothesis includes a learning/motivational process, fit the mediation (with appropriate multilevel mediation methods) or moderation, not only the total effect.
- Full disclosure (JARS). Report how sample size was determined, all conditions and measures, all exclusions/attrition (with reasons and counts), missing-data handling (e.g., FIML/multiple imputation), and model specification. Confirmatory vs. exploratory must be clearly separated.
- Appropriate inference. Justify the model; report assumptions/diagnostics and fit indices for SEM; correct for multiple comparisons across many outcomes; consider robustness to alternative specifications.
Robustness and missing data
- Show the result survives reasonable alternative specifications (covariate sets, model form, with/without exclusions). Handle attrition and missingness with principled methods (FIML, MI) and report rates by arm.
Worked micro-example (illustrative numbers)
A preregistered cluster-randomized reading-comprehension trial (48 classrooms, ~1,100 students). The confirmatory analysis is a two-level model with a pretest covariate and a preregistered mediation test.
Confirmatory (preregistered) — primary effect
Two-level model (students within classrooms), pretest-adjusted:
classroom-level treatment effect on transfer comprehension
g = 0.23, 95% CI [0.06, 0.40]; ICC = 0.14; ~2.0 months of progress.
Inference uses random classroom intercepts; SEs respect clustering.
Confirmatory (preregistered) — mechanism
Multilevel mediation: monitoring gain mediates ~40% of the effect,
indirect 95% CI [0.02, 0.13] (excludes 0).
Sensitivity: holds with/without the preregistered attrition exclusions
(g 0.23 → 0.21), and under FIML for missing posttests.
Exploratory (labeled): larger effect for initially low-comprehension
readers (ATI); reported as exploratory, flagged for future confirmation.Why this passes JEP scrutiny: the model respects nesting; the effect carries a CI and an educational interpretation; the mechanism is tested, not asserted; the sensitivity line pre-empts the "fragile-to- exclusions" reviewer; and the ATI is honestly demoted to exploratory.
Analysis-stage reviewer pushback and the venue fix
| Reviewer pushback | What it signals here | JEP fix |
|---|---|---|
| "You ignored clustering" | deflated SEs from nesting | refit a multilevel/random-effects model; report the ICC |
| "Effect size, and what does it mean for learning?" | post-reform interpretability bar | add a CI and an educational metric (months/percentile) |
| "Mechanism untested" | total effect without theory | fit the preregistered multilevel mediation/moderation |
| "Which analyses were preregistered?" | forking-paths suspicion | give the disclosure table; relabel post hoc as exploratory |
| "How was attrition handled?" | missing-data validity | report rates by arm; use FIML/MI; show robustness |
Show full SKILL.md (260 more words)Show less
Calibration anchors
- One well-powered, properly nested effect with a tight CI and a clear educational interpretation beats a pile of stars from a model that treated students as independent — the latter is a routine JEP reject.
- Prefer estimation language ("the intervention raised transfer comprehension by g = 0.23, ~2 months of progress, 95% CI [...]") to dichotomous "significant/not."
- Mechanism evidence is what makes the paper educational psychology rather than evaluation; budget the mediation/moderation test as a first-class result, not an afterthought.
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. JEdPsych mixes field/lab experiments and observational school data; multilevel (student-in-class-in-school) inference and many-outcome corrections matter most.
- Many outcomes / specifications:
romano_wolf(step-down FWER) orbenjamini_hochberg— report the adjusted threshold. - OVB sensitivity:
oster_delta/sensemakr. - Inference:
wild_cluster_bootstrap(few clusters),twoway_cluster/conley; multilevel data → cluster at the right level. - Re-fit off one handle:
audit_result(result_id)lists the missing checks and the exactsuggest_functionfor each. - Exhibits:
etable/did_summary_to_latexfrom the handle — no retyped numbers.
Keep the decisive checks in the body and the exhaustive battery in the supplement. See the executed chain in the JF execution walkthrough.
Anti-patterns
- Treating nested students as independent (single-level OLS on clustered data)
- p-values and stars with no effect size, CI, or educational interpretation
- Reporting a total intervention effect with no test of the theorized mechanism
- Selective reporting of conditions, measures, or exclusions (undisclosed flexibility)
- Ad hoc deletion of missing data with no principled method or robustness check
Output format
【Model】multilevel / SEM / growth — nesting respected? [Y/N]
【Main result】effect size + CI + educational interpretation
【Mechanism】mediation/moderation tested as hypothesized? [Y/N/NA]
【Disclosure】N-determination + all exclusions/attrition + all measures (JARS)? [Y/N]
【Confirmatory vs exploratory】clearly separated? [Y/N]
【Reproducible】scripts + codebook + missing-data method? [Y/N]
【Next】jedpsych-tables-figuresSupplementary resources
../../resources/external_tools.md—lme4/nlme,lavaan/Mplus,mediation,metafor,effectsize, missing-data tools../../resources/official-source-map.md— JARS statistical and disclosure requirements
© 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-Educational-Psychology-Skills/skills/jedpsych-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jedpsych Data Analysis 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 |
|---|---|---|---|---|---|---|
| Jedpsych Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2k | Automated safety check: Pass | MIT | |
| MatlabzLanqing/codex-claude-academic-skills | 4.7k | 8 repos | ~2.3k | Automated safety check: Notes | GPL-3.0 | |
| Eqtl Catalogue Region FetchClawBio/ClawBio | 1.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| CSV Data Analysis5zjk5/prompt-engineering | 127 | — | ~2.6k | Automated safety check: Pass | None | |
| Meridian MMM Model Buildinggoogle/meridian | 1.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Gwas Catalog Region FetchClawBio/ClawBio | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
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Questions about Jedpsych Data Analysis
What does Jedpsych Data Analysis do?
A skill your agent uses when analyzing and reporting results for a Journal of Educational Psychology manuscript. Jedpsych Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when analyzing and reporting results for a Journal of Educational Psychology manuscript.
When should I use Jedpsych Data Analysis?
Jedpsych Data Analysis fits situations like: analyzing and reporting results for a Journal of Educational Psychology manuscript; tasks that involve Statistics; tasks that involve Data analysis.
How do I install Jedpsych Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-data-analysis -a claude-code`. Or copy the skill folder (Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jedpsych-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Jedpsych Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jedpsych-data-analysis -a codex`. Or copy the skill folder (Journal-of-Educational-Psychology-Skills/skills/jedpsych-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jedpsych-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Jedpsych Data Analysis 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 jedpsych-data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jedpsych-data-analysis, .gemini/skills/jedpsych-data-analysis, .github/skills/jedpsych-data-analysis and .opencode/skills/jedpsych-data-analysis in your project.
What does Jedpsych Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Jedpsych Data Analysis is instructions for the agent only.
Does Jedpsych Data Analysis 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 Jedpsych Data Analysis 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 Jedpsych Data Analysis use?
Jedpsych Data Analysis 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 Jedpsych Data Analysis use?
About 2k tokens (SKILL.md is roughly 7.8k 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 Jedpsych Data Analysis?
Skills that share tags, products or a category with Jedpsych Data Analysis: Matlab (zLanqing/codex-claude-academic-skills, 4.7k stars), Eqtl Catalogue Region Fetch (ClawBio/ClawBio, 1.2k stars), CSV Data Analysis (5zjk5/prompt-engineering, 127 stars) and Meridian MMM Model Building (google/meridian, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jedpsych Data Analysis?
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.