epsl-data-analysis
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.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 1. **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
- When to trigger
- Reporting norms EPSL expects
- Uncertainty-reporting table reviewers work down
- Worked micro-example (illustrative — a weighted-mean age that survives review)
- Referee-pushback patterns and the venue-specific fix
- Anti-patterns
- Output format
- Supplementary resources
What does the epsl-data-analysis skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill epsl-data-analysis --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.