A skill your agent uses when designing the sampling, analytical, experimental, or modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a…

MITAuto-check passedResearch & Science

Install Epsl Study Design

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-study-design -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills epsl-study-design --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-study-design .claude/skills/epsl-study-design && rm -rf skills-src

Use ~/.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/

Facts

Skill name
epsl-study-design
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
629 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when designing the sampling, analytical, experimental, or modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a…

  • Works in 6 steps: Sample context is part of the design.… → Traceability by design. Decide the… → Replication at the right level. Full… → …
  • Designing the sampling
  • SKILL.md covers When to trigger, Design principles EPSL expects, Design defenses a reviewer… and Worked micro-example…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Epsl Study Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing the sampling, analytical, experimental, or modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a process-level claim — sample context, reference materials, replication, blank control, and model resolution planned before data exist. It guides design decisions; it does not execute the campaign.

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 Experimental design, Architecture decision records and Database administration. 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

  • Designing the sampling
  • Modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a process-level claim — sample context
  • Reference materials
  • Model resolution planned before data exist

Example prompts

  • “/epsl-study-design”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Sample context is part of the design. Location (coordinates, datum), stratigraphic or
  2. Traceability by design. Decide the certified/community reference materials, bracketing scheme,
  3. Replication at the right level. Full procedural replicates (dissolution → chemistry →
  4. Discriminating design. Choose samples/experiments where competing hypotheses predict
  5. Models must be falsifiable. Pre-plan resolution tests (checkerboard/recovery for inversions),
  6. Anchor rates in time. Any rate or flux needs an explicit chronologic anchor with its own

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 Study Design loads about 1.5k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 629 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 629 words, ~1,478 tokens.

Download SKILL.mdSave it as .claude/skills/epsl-study-design/SKILL.md (or your agent's skills folder).
name
epsl-study-design
description
Use when designing the sampling, analytical, experimental, or modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a process-level claim — sample context, reference materials, replication, blank control, and model resolution planned before data exist. It guides design decisions; it does not execute the campaign.

Study Design (epsl-study-design)

EPSL reviewers reverse-engineer the design from the claim: if the paper says "this rate constrains mantle upwelling," they ask whether the samples, standards, and models could ever have shown otherwise. The predictable failures are samples without context, analytical campaigns without traceability to reference materials, models without resolution tests, and rates without an independent time anchor. Design against them before the first analysis. Data reduction and uncertainty reporting live in epsl-data-analysis.

When to trigger

  • Planning a sampling campaign, analytical session plan, experimental run matrix, or model suite
  • Choosing reference materials, blanks, replicates, and session structure for isotope work
  • Setting up resolution/sensitivity tests for an inversion or geodynamic model
  • A reviewer questioned sample context, standards, or model robustness

Design principles EPSL expects

  1. Sample context is part of the design. Location (coordinates, datum), stratigraphic or structural position, petrographic screening, and alteration assessment — a pristine analysis of an uncharacterized sample proves nothing about a process.
  2. Traceability by design. Decide the certified/community reference materials, bracketing scheme, and blank-measurement cadence per session before the campaign; geochronology and isotope readers expect results tied to community standards and stated decay constants.
  3. Replication at the right level. Full procedural replicates (dissolution → chemistry → measurement), not just repeat runs of one solution; independent aliquots for the headline number.
  4. Discriminating design. Choose samples/experiments where competing hypotheses predict different outcomes — a transect across the gradient, a run matrix spanning the P–T boundary, an isotope pair that separates source from process.
  5. Models must be falsifiable. Pre-plan resolution tests (checkerboard/recovery for inversions), parameter sweeps, and a stated criterion for what would count against the model.
  6. Anchor rates in time. Any rate or flux needs an explicit chronologic anchor with its own uncertainty (U-Pb/Ar-Ar tie points, astrochronology, magnetostratigraphy) that propagates into the result.

Design defenses a reviewer expects, by claim type

If you claim...Design must include...Reviewer's killer question
An age / a ratecommunity standards, blanks, procedural replicates, stated decay constants"traceable to what, at what 2σ?"
A mantle/crust source signaturescreening for alteration + a crustal-contamination test"is this source or shallow overprint?"
Deep structure from an inversionresolution/recovery tests, damping trade-off shown"can your data even see that depth?"
A P–T history from experimentsdemonstrated equilibrium (reversals/time series)"did the runs equilibrate?"
A planetary-interior propertysensitivity to the unmeasured parameters (e.g., core size, mantle Fe)"how much does the answer move?"
Show full SKILL.md (233 more words)Show less

Worked micro-example (illustrative — dating an extinction-interval ash sequence)

To support "the eruption tempo, not total volume, drove the crisis," the design (illustrative) builds its defenses first:

  • Context: ash beds logged against the biostratigraphy, with the extinction horizon bracketed by beds above and below — otherwise tempo and crisis cannot be ordered.
  • Traceability: chemical-abrasion U-Pb on zircon with a community tracer solution, synthetic and natural standards run each session, total procedural blanks measured per batch.
  • Replication: multiple single-grain analyses per bed; the youngest-population interpretation pre-defined to avoid post-hoc picking.
  • Discrimination: bed spacing chosen so a constant-rate and a pulsed eruption model predict resolvably different age–height patterns at the achievable ±30 kyr (illustrative) precision.
  • Time anchor: the same beds tied into the astrochronologic framework as a cross-check.

The design's decisive move: precision requirements were derived from the hypothesis contrast, so the campaign was sized to answer the question rather than hoping the errors come out small.

Anti-patterns

  • Samples with no coordinates, stratigraphic height, or petrographic screening
  • Standards and blanks improvised mid-campaign instead of planned per session
  • Repeat measurements of one dissolution presented as independent replication
  • An inversion presented without any test of what the data can resolve
  • A rate whose chronologic anchor's uncertainty is silently dropped
  • A design that can only confirm the favored hypothesis, never reject it

Output format

【Design】field / analytical / experimental / modeling + target observable
【Context】sample metadata + screening plan
【Traceability】standards / blanks / decay constants (or model benchmarks)
【Replication】level + n
【Discrimination】which hypotheses predict different outcomes
【Time anchor】chronology + its uncertainty (if a rate)
【Next】epsl-data-analysis

Supplementary resources

© 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-study-design of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Epsl Study Design 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.

Epsl Study Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Epsl Study Design this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Est Study Designfranklee16/academic-research-skills2231 repos~882Automated safety check: PassNone
Gcb Study Designfranklee16/academic-research-skills2231 repos~894Automated safety check: PassNone
Scientific BrainstormingOleafly/Oleafly2092 repos~3.5kAutomated safety check: PassMIT
Academic Paper Verifybrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.9kAutomated safety check: PassCustom licence
Medical Research Literature Reader Proaipoch/medical-research-skills2k—~3.4kAutomated safety check: PassMIT

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Questions about Epsl Study Design

What does Epsl Study Design do?

A skill your agent uses when designing the sampling, analytical, experimental, or modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a…. Epsl Study Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing the sampling, analytical, experimental, or modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a process-level claim — sample context, reference materials, replication, blank control, and model resolution planned before data exist.

When should I use Epsl Study Design?

Epsl Study Design fits situations like: designing the sampling; modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a process-level claim — sample context; reference materials; model resolution planned before data exist.

How do I install Epsl Study Design in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-study-design -a claude-code`. Or copy the skill folder (Earth-and-Planetary-Science-Letters-Skills/skills/epsl-study-design in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/epsl-study-design in your project. Claude Code loads it when a task matches its description.

How do I install Epsl Study Design in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-study-design -a codex`. Or copy the skill folder (Earth-and-Planetary-Science-Letters-Skills/skills/epsl-study-design in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/epsl-study-design in your project. Codex loads it when a task matches its description.

Can I use Epsl Study Design 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-study-design -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-study-design, .gemini/skills/epsl-study-design, .github/skills/epsl-study-design and .opencode/skills/epsl-study-design in your project.

What does Epsl Study Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Epsl Study Design is instructions for the agent only.

Does Epsl Study Design 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 Study Design 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 Study Design use?

Epsl Study Design 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 Study Design use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Study Design?

Skills that share tags, products or a category with Epsl Study Design: Est Study Design (franklee16/academic-research-skills, 223 stars), Gcb Study Design (franklee16/academic-research-skills, 223 stars), Scientific Brainstorming (Oleafly/Oleafly, 209 stars) and Academic Paper Verify (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Epsl Study Design?

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.