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 reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data…
Install Epsl Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills epsl-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/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis .claude/skills/epsl-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 "epsl-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis into .claude/skills/epsl-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "epsl-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/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-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 epsl-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills epsl-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/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis .agents/skills/epsl-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 "epsl-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis into .agents/skills/epsl-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "epsl-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 epsl-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills epsl-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/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis .cursor/skills/epsl-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 "epsl-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis into .cursor/skills/epsl-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "epsl-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 Earth-and-Planetary-Science-Letters-Skills/skills/epsl-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 epsl-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills epsl-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/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis .gemini/skills/epsl-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 "epsl-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis into .gemini/skills/epsl-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "epsl-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 epsl-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 epsl-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/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis .github/skills/epsl-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 "epsl-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis into .github/skills/epsl-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "epsl-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 epsl-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 epsl-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/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis .opencode/skills/epsl-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 "epsl-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis into .opencode/skills/epsl-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "epsl-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
epsl-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 666 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data…
- Works in 6 steps: State the full uncertainty ladder. Quote… → Anchor to community values. Name the… → Statistics that match geochemical data.… → …
- Defensible statistics (MSWD
- SKILL.md covers When to trigger, Reporting norms EPSL expects, Uncertainty-reporting table… and Worked micro-example…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Epsl Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data, defensible statistics (MSWD, weighted means, Bayesian age models), and inversion/model diagnostics. It guides reduction and reporting norms; it does not fabricate results.
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 Data & Analytics, covering Data analysis and Statistics. 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
- Defensible statistics (MSWD
- Bayesian age models)
- Inversion/model diagnostics
Example prompts
- “/epsl-data-analysis”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- State the full uncertainty ladder. Quote internal (within-run) precision, external
- Anchor to community values. Name the reference materials with the values used, the
- Statistics that match geochemical data. Weighted means with MSWD reported and interpreted
- Age models with honest priors. Bayesian age–depth or eruption-tempo models report priors,
- Inversions come with diagnostics. Resolution/recovery tests, misfit and trade-off curves, and
- Blanks and detection. Report total procedural blanks and their variability; state how
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
Epsl Data Analysis loads about 1.5k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 666 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). 666 words, ~1,491 tokens.
Download SKILL.mdSave it as
.claude/skills/epsl-data-analysis/SKILL.md (or your agent's skills folder).- name
- epsl-data-analysis
- description
- Use when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data, defensible statistics (MSWD, weighted means, Bayesian age models), and inversion/model diagnostics. It guides reduction and reporting norms; it does not fabricate results.
Data Analysis (epsl-data-analysis)
EPSL's methods-transparency culture is strictest exactly where the journal is strongest: isotope
geochemistry and geochronology. Reviewers expect every headline number to arrive with its complete
error budget — internal precision, external reproducibility, standard and blank corrections, and
systematic terms like decay-constant uncertainty — and they expect model results to arrive with their
resolution limits. Design choices live in epsl-study-design; deposition and supplements in
epsl-reporting-and-reproducibility.
When to trigger
- Reducing isotope, geochronologic, elemental, or geophysical data to reportable results
- Deciding which uncertainty terms to propagate and how to quote them
- Computing weighted means, isochrons, concordia intercepts, or Bayesian age–depth models
- A reviewer asked for the error budget, the MSWD, or a resolution test
Reporting norms EPSL expects
- State the full uncertainty ladder. Quote internal (within-run) precision, external reproducibility from repeat standards/replicates, and — when comparing across methods or to other studies — systematic terms (decay constants, tracer calibration, spectrometer bias). Say which ladder rung each quoted ±X σ includes, and whether σ means 1σ, 2σ, or 95% CI.
- Anchor to community values. Name the reference materials with the values used, the normalization scheme (e.g., what δ is measured against), and the decay constants adopted, with citations — so the numbers remain comparable when calibrations shift.
- Statistics that match geochemical data. Weighted means with MSWD reported and interpreted (MSWD ≫ 1 means scatter beyond analytical error — say why); isochrons with the regression model named; mixtures and outliers handled by a stated rule, not silent deletion.
- Age models with honest priors. Bayesian age–depth or eruption-tempo models report priors, convergence, and sensitivity to them; deposit the model input/config.
- Inversions come with diagnostics. Resolution/recovery tests, misfit and trade-off curves, and an explicit statement of what the data cannot see; never present a smoothed model as if it were data.
- Blanks and detection. Report total procedural blanks and their variability; state how blank-sensitive results (small samples, young ages, low abundances) respond to the blank range.
Uncertainty-reporting table reviewers work down
| Element | What to report | If omitted, the reviewer assumes |
|---|---|---|
| σ-level and type | 1σ/2σ/95% CI; internal vs external | numbers are not comparable |
| Reference materials | measured vs accepted values, per session | accuracy unverified |
| Blanks | magnitude + variability + correction | small samples untrustworthy |
| Decay constants / tracer | which values, cited | ages not portable across studies |
| MSWD / goodness of fit | value + interpretation | scatter hidden in the mean |
| Model resolution | recovery tests, trade-offs | structure may be artifact |
Show full SKILL.md (271 more words)Show less
Worked micro-example (illustrative — a weighted-mean age that survives review)
Twelve single-zircon U-Pb analyses from one ash bed (illustrative numbers):
- Ten young analyses give a weighted mean of 66.021 ± 0.024 Ma (2σ, analytical only), MSWD = 1.3 — scatter consistent with analytical error, so a single population is defensible.
- Two older grains are excluded as inherited by a pre-stated criterion (resolvably older than the main cluster), and shown in the figure anyway.
- Reported as: "66.021 ± 0.024/0.031/0.075 Ma (2σ: analytical / +tracer / +decay constants), MSWD 1.3, n = 10/12" — the three-tier bracket lets a reader compare against Ar-Ar or astrochronologic ages without emailing the authors.
The habit that prevents most queries: every mean is accompanied by its MSWD, its n-of-N, and a plot showing the excluded analyses.
Referee-pushback patterns and the venue-specific fix
- "Uncertainties are quoted but not defined." → State σ-level, and split analytical vs systematic terms wherever the result is compared to external ages or data.
- "MSWD indicates overdispersion." → Do not just widen errors; identify the geological or analytical source of scatter and let the interpretation absorb it.
- "The anomaly is at the edge of resolution." → Show the recovery test at that node; soften or drop claims the test cannot support.
Anti-patterns
- A headline age or rate with a bare ± and no statement of what it includes
- Standards measured but never reported against accepted values
- Outlier analyses removed without a stated rule or a visible plot
- MSWD omitted, or quoted without interpretation
- Tomographic/model features discussed where resolution tests show smearing
- Comparing your ages to literature ages without harmonizing decay constants
Output format
【Headline number】value ± (σ-level; analytical/+systematic) + units + n
【Traceability】standards vs accepted values; blanks; constants cited
【Statistics】weighted mean/isochron/Bayesian model + MSWD/diagnostics
【Exclusions】rule stated + shown in figures? [Y/N]
【Model diagnostics】resolution/sensitivity reported? [Y/N or N/A]
【Next】epsl-figures-and-tablesSupplementary resources
../../resources/external_tools.md— IsoplotR, ET_Redux, iolite, ObsPy, inversion codes../../resources/official-source-map.md— methods-transparency and data expectations
© 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 Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Epsl 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 |
|---|---|---|---|---|---|---|
| Epsl Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | 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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Categories
Questions about Epsl Data Analysis
What does Epsl Data Analysis do?
A skill your agent uses when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data…. Epsl Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data, defensible statistics (MSWD, weighted means, Bayesian age models), and inversion/model diagnostics.
When should I use Epsl Data Analysis?
Epsl Data Analysis fits situations like: defensible statistics (MSWD; bayesian age models); inversion/model diagnostics.
How do I install Epsl Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-data-analysis -a claude-code`. Or copy the skill folder (Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/epsl-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Epsl Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-data-analysis -a codex`. Or copy the skill folder (Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/epsl-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Epsl 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 epsl-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/epsl-data-analysis, .gemini/skills/epsl-data-analysis, .github/skills/epsl-data-analysis and .opencode/skills/epsl-data-analysis in your project.
What does Epsl Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Epsl Data Analysis is instructions for the agent only.
Does Epsl 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 Epsl 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 Epsl Data Analysis use?
Epsl 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 Epsl Data Analysis 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 Epsl Data Analysis?
Skills that share tags, products or a category with Epsl 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 Epsl 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.