Agent skill · AI & Agents

est-topic-selection

Use when deciding whether a problem fits Environmental Science & Technology (ES&T) and which article type to target. ES&T rewards demonstrated environmental significance and transformational, direction-setting work over incremental lab results, so this skill pressure-tests the "so what for the environment?" question before you invest. It frames the contribution; it does not run experiments.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Environmental-Science-and-Technology-Skills/skills/est-topic-selection/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

# Topic Selection & Fit (est-topic-selection) ES&T "aims to be transformational and direction-setting." The single most common reason a sound study is off-fit is **missing environmental significance**: a clean measurement or a new material with no demonstrated relevance to a real environmental system. Decide fit before you invest. ## When to trigger - Choosing whether ES&T (vs a specialist or rapid venue) is the right home - Sharpening a vague idea into an environmentally significant question - Deciding between a full **Research Article** and the rapid **ES&T Letters** - Worried the work reads as "routine data" or method-for-its-own-sake ## The environmental-significance test 1. **Real system, real relevance.** Does the work illuminate fate, transport, transformation, exposure, toxicity, treatment, or management in a **natural or engineered environment** — at environmentally relevant concentrations, matrices, and conditions? 2. **Novel insight, not routine data.** ES&T expects *novel insights into relevant environmental processes*, not a catalog of measurements or a well-understood phenomenon re-measured. 3. **Multidisciplinary reach.** Will the broad ES&T audience (chemists, engin

What's inside
Steps it walks through
  1. When to trigger
  2. The environmental-significance test
  3. Match to article type
  4. Fit-versus-redirect decision table
  5. Worked micro-example (illustrative — three framings of one PFAS dataset)
  6. Anti-patterns
  7. Output format
  8. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the est-topic-selection skill do?

Use when deciding whether a problem fits Environmental Science & Technology (ES&T) and which article type to target. ES&T rewards demonstrated environmental significance and transformational, direction-setting work over incremental lab results, so this skill pressure-tests the "so what for the environment?" question before you invest. It frames the contribution; it does not run experiments.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill est-topic-selection --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