research-coordinator
Research Coordinator v12.0 - Human-Centered Edition (Systematic Review Automation) Context-persistent platform with 24 specialized agents across 9 categories (A-G, I, X). Supports quantitative, qualitative, mixed methods research, and systematic review automation. effect size, IRB, PRISMA, statistical analysis, sample size, bias, journal, peer review, conceptual framework, visualization, systematic review, qualitative, phenomenology, grounded theory, thematic analysis, mixed methods, interview, focus group, ethnography, action research, paper retrieval, AI screening, RAG builder, humanizatio
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator --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.
## MANDATORY: Checkpoint Enforcement Rules (v8.2 — MCP-First) > Full details: docs/CHECKPOINT-RULES.md ### Rule 5: Override Refusal 사용자가 REQUIRED 체크포인트 스킵 요청 시: → AskUserQuestion으로 Override Refusal Template 제시 (텍스트 거부 아님) → REQUIRED는 어떤 상황에서도 스킵 불가 → 참조: `.claude/references/checkpoint-templates.md` → Override Refusal Template ### Rule 6: MCP-First Verification 에이전트 실행 전: `diverga_check_prerequisit
What does the research-coordinator skill do?
Research Coordinator v12.0 - Human-Centered Edition (Systematic Review Automation) Context-persistent platform with 24 specialized agents across 9 categories (A-G, I, X). Supports quantitative, qualitative, mixed methods research, and systematic review automation. effect size, IRB, PRISMA, statistical analysis, sample size, bias, journal, peer review, conceptual framework, visualization, systematic review, qualitative, phenomenology, grounded theory, thematic analysis, mixed methods, interview, focus group, ethnography, action research, paper retrieval, AI screening, RAG builder, humanizatio
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator --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.