Agent skill · Data & Analytics

psci-topic-selection

Use when deciding whether an empirical psychology project fits Psychological Science and which manuscript type to target. The journal favors concise, high-impact, well-powered work whose claims are robust and broadly relevant. Frames the question; it does not collect data.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psci-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: Psychological-Science-Skills/skills/psci-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 (psci-topic-selection) Psychological Science publishes **concise, high-impact empirical** psychology. The bar is a finding that is **important, robust, and broadly relevant** — and that can be argued in a **very tight** format. Use this skill to pressure-test fit before investing. ## When to trigger - Choosing among possible projects or framings for Psychological Science - A reader said the work feels "incremental," "underpowered," or "too niche" - Deciding between a **Research Article** and a **Registered Report** - A replication or extension you want to place (it must fit an Article or RR, not a retired Short Report) ## The fit test A strong Psychological Science paper usually clears all four: 1. **Impact + breadth.** It changes how psychologists understand a phenomenon and is relevant beyond one narrow paradigm. State why a psychologist in another area should care. 2. **Robustness.** Adequately powered, with a credible design and analysis; the result should not hinge on researcher degrees of freedom (see `psci-study-design`, `psci-data-analysis`). 3. **Open-science ready.** You can share data and materials (or justify a documented exemption) and, ideally,

What's inside
Steps it walks through
  1. When to trigger
  2. The fit test
  3. Manuscript type
  4. Fit scoring — worked example (illustrative)
  5. Manuscript-type decision rules
  6. Reviewer / editor pushback at the fit stage
  7. Anti-patterns
  8. Output format
  9. Supplementary resources
More from Awesome-Journal-Skills
All skills →
About this skill
What does the psci-topic-selection skill do?

Use when deciding whether an empirical psychology project fits Psychological Science and which manuscript type to target. The journal favors concise, high-impact, well-powered work whose claims are robust and broadly relevant. Frames the question; it does not collect data.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psci-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