A skill your agent uses when deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it.

MITAuto-check passed

Install Epsl Topic Selection

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills epsl-topic-selection --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-topic-selection .claude/skills/epsl-topic-selection && 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-topic-selection
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
546 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it.

  • Works in 4 steps: Name the process, not the place. Does… → Portability. Would a scientist working… → Decisiveness. Does the dataset actually… → …
  • Deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it
  • SKILL.md covers When to trigger, The process-level test, Fit-versus-redirect decision… and Worked micro-example…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Epsl Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it. EPSL takes concise, high-significance Letters on physical, chemical and mechanical processes of the Earth and planets, and desk-declines regional case studies without process-level insight, so this skill pressure-tests the frontier claim before you invest. It frames the contribution; it does not run analyses.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • Deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it

Example prompts

  • “/epsl-topic-selection”

Workflow steps

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

  1. Name the process, not the place. Does the result constrain a physical, chemical, or mechanical
  2. Portability. Would a scientist working on a different continent (or a different planet) change
  3. Decisiveness. Does the dataset actually discriminate between competing hypotheses, or is it
  4. Letter economy. Can the advance be delivered in a main text near the ~6,500-word cap (re-check

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 Topic Selection loads about 1.2k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 546 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 546 words, ~1,221 tokens.

Download SKILL.mdSave it as .claude/skills/epsl-topic-selection/SKILL.md (or your agent's skills folder).
name
epsl-topic-selection
description
Use when deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it. EPSL takes concise, high-significance Letters on physical, chemical and mechanical processes of the Earth and planets, and desk-declines regional case studies without process-level insight, so this skill pressure-tests the frontier claim before you invest. It frames the contribution; it does not run analyses.

Topic Selection & Fit (epsl-topic-selection)

EPSL's identity is in its name: Letters. The journal wants a short paper whose single result moves a frontier — how planets differentiate, how mantles convect, how faults load, how climate signals enter the rock record — not a competent study whose relevance stops at one basin, one orogen, or one sample suite. Deciding fit early saves months, because the frontier-vs-incremental judgment is made at the editor's desk.

When to trigger

  • Choosing between EPSL and a specialist or regional venue
  • Sharpening a dataset into a process-level question
  • Worried the paper reads as "another case study from region X"
  • Tempted to split one project into companion papers (EPSL discourages this)

The process-level test

  1. Name the process, not the place. Does the result constrain a physical, chemical, or mechanical process of the Earth or another planet — melting, degassing, core formation, slab dehydration, crustal growth, orbital forcing — rather than describing a locality?
  2. Portability. Would a scientist working on a different continent (or a different planet) change how they interpret their system because of your result?
  3. Decisiveness. Does the dataset actually discriminate between competing hypotheses, or is it consistent with all of them?
  4. Letter economy. Can the advance be delivered in a main text near the ~6,500-word cap (re-check on the official site) with a handful of figures? If not, the venue or the scope is wrong.

Fit-versus-redirect decision table

Your work is...EPSL fitBetter home
A locality's geochemistry with no generalizable mechanismweakLithos, Chemical Geology, a regional journal
A new constraint that rewrites a global process budgetstrongEPSL Letter
Comprehensive method development for one instrumentweakChemical Geology, G-cubed, GGR
A planetary-interior result from mission or meteorite datastrongEPSL Letter (planetary scope is explicit)
Descriptive stratigraphy or mappingweakBasin Research, GSA Bulletin
A dense monograph-length argumentwrong formatJGR Solid Earth, GCA
A field-wide synthesis you were invited to writestrongEPSL Frontiers Paper (invitation only)
Show full SKILL.md (222 more words)Show less

Worked micro-example (illustrative — three framings of one detrital-zircon dataset)

The same 600-grain U-Pb dataset from a foreland basin can land three ways (illustrative):

  • Off-fit: "Detrital zircon ages from the X Basin constrain its provenance." A locality's sediment-routing story — the textbook EPSL desk decline.
  • Borderline: "Age spectra shift at 30 Ma, coincident with the Y collision." A correlation, but a reviewer asks what process was tested.
  • On-fit: "Foreland age spectra lag exhumation by ~5 Myr (illustrative), quantifying the transit time of orogenic detritus — so detrital archives worldwide record mountain building with a measurable, correctable delay." Now every basin worker recalibrates their reading of the archive.

The sorting question: finish the sentence "anyone studying [process] on any planet now has to account for…". If you can only finish "anyone studying [my region]…", reframe or redirect.

Anti-patterns

  • A regional case study whose conclusions never leave the field area — the pattern EPSL editors decline without review
  • "First measurement of X in Y" with no hypothesis the measurement discriminates
  • Stretching a specialist method paper to look like a process paper
  • Planning two companion manuscripts; EPSL states they are against the spirit of concise Letters
  • Choosing EPSL because of prestige while the natural readership is a single sub-community

Output format

【Question】one-sentence process-level question
【Process, not place】the Earth/planetary process constrained
【Portability】who outside the region/sub-field must respond
【Decisiveness】hypotheses discriminated
【Letter economy】deliverable near the word cap? [Y/N]
【Verdict】EPSL Letter / reframe / redirect (venue)
【Next】epsl-literature-positioning

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-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Epsl Topic Selection 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 Topic Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Epsl Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
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Furniture Fit Checkpascalorg/editor25k—~5.1kAutomated safety check: PassMIT
TopicsZimoLiao/scholaraio577—~294Automated safety check: PassMIT
Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.7kAutomated safety check: PassCustom licence
Bestblogs Topicginobefun/BestBlogs4k—~670Automated safety check: PassNone

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Questions about Epsl Topic Selection

What does Epsl Topic Selection do?

A skill your agent uses when deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it. Epsl Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it.

When should I use Epsl Topic Selection?

Epsl Topic Selection fits situations like: deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it.

How do I install Epsl Topic Selection in Claude Code?

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

How do I install Epsl Topic Selection in Codex?

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

Can I use Epsl Topic Selection 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-topic-selection -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-topic-selection, .gemini/skills/epsl-topic-selection, .github/skills/epsl-topic-selection and .opencode/skills/epsl-topic-selection in your project.

What does Epsl Topic Selection need to run?

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

Does Epsl Topic Selection 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 Topic Selection 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 Topic Selection use?

Epsl Topic Selection 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 Topic Selection use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Topic Selection?

Skills that share tags, products or a category with Epsl Topic Selection: Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Furniture Fit Check (pascalorg/editor, 25k stars), Topics (ZimoLiao/scholaraio, 577 stars) and Topic Modeling (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 Topic Selection?

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.