Agent skill · Data & Analytics

epsl-study-design

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.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-study-design --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Earth-and-Planetary-Science-Letters-Skills/skills/epsl-study-design/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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. **Tr

What's inside
Steps it walks through
  1. When to trigger
  2. Design principles EPSL expects
  3. Design defenses a reviewer expects, by claim type
  4. Worked micro-example (illustrative — dating an extinction-interval ash sequence)
  5. Anti-patterns
  6. Output format
  7. Supplementary resources
More from Awesome-Journal-Skills
All skills →
About this skill
What does the epsl-study-design skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-study-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going