Agent skill · Design & Presentation

a1

VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: refining research ideas, formulating research questions, clarifying scope

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill a1 --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Version: 12.0.1
Path: skills/25-HosungYou-Diverga/skills/a1/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
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

## ⛔ Prerequisites (v8.2 — MCP Enforcement) Entry point agent — no prerequisites required. ### Checkpoints During Execution - 🔴 CP_RESEARCH_DIRECTION → `diverga_mark_checkpoint("CP_RESEARCH_DIRECTION", decision, rationale)` - 🔴 CP_VS_001 → `diverga_mark_checkpoint("CP_VS_001", decision, rationale)` - 🔴 CP_VS_003 → `diverga_mark_checkpoint("CP_VS_003", decision, rationale)` ### Fallback (MCP una

More from Auto-Empirical-Research-Skills
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About this skill
What does the a1 skill do?

VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: refining research ideas, formulating research questions, clarifying scope

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill a1 --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/Auto-Empirical-Research-Skills, a repository with 3,244 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.

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