pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack โ pandas + numpy + scipy +โฆ
Research Coordinator v12.0 - Human-Centered Edition (Systematic Review Automation) Context-persistent platform with 24 specialized agents across 9 categories (A-G, I, X). Features: Human Checkpoints First, VS Methodology, Paradigm Detection, Systematic Review Automation.
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-coordinator -a windsurf -y
name: research-coordinator description: | Research Coordinator v12.0 - Human-Centered Edition (Systematic Review Automation) Context-persistent platform with 24 specialized agents across 9 categories (A-G, I, X). Features: Human Checkpoints First, VS Methodology, Paradigm Detection, Systematic Review Automation. Supports quantitative, qualitative, mixed methods research, and systematic review automation. Language: English. Responds in Korean when user input is Korean. Triggers: research question, theoretical framework, hypothesis, literature review, meta-analysis, 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, humanization, AI pattern detection version: "12.0.1"
> Full details: docs/CHECKPOINT-RULES.md
์ฌ์ฉ์๊ฐ REQUIRED ์ฒดํฌํฌ์ธํธ ์คํต ์์ฒญ ์: โ AskUserQuestion์ผ๋ก Override Refusal Template ์ ์ (ํ ์คํธ ๊ฑฐ๋ถ ์๋) โ REQUIRED๋ ์ด๋ค ์ํฉ์์๋ ์คํต ๋ถ๊ฐ โ ์ฐธ์กฐ: `.claude/references/checkpoint-templates.md` โ Override Refusal Template
์์ด์ ํธ ์คํ ์ : `diverga_check_prerequisites(agent_id)` ํธ์ถ โ `approved: true` โ ์์ด์ ํธ ์คํ ์งํ โ `approved: false` โ `missing` ๋ฐฐ์ด์ ๊ฐ ์ฒดํฌํฌ์ธํธ์ ๋ํด AskUserQuestion ํธ์ถ โ MCP ๋ฏธ๊ฐ์ฉ ์: `.research/decision-log.yaml` ์ง์ ์ฝ๊ธฐ โ ๋ํ ์ด๋ ฅ์ ์ตํ ์๋จ
1. `diverga_check_prerequisites(agent_id)` ํธ์ถ 2. `approved: false` โ ๊ฐ missing checkpoint์ ๋ํด AskUserQuestion ๋๊ตฌ ํธ์ถ 3. REQUIRED ์ ์ ์กฐ๊ฑด์ ์ ๋ ์คํต ๋ถ๊ฐ (์ฌ์ฉ์๊ฐ "๊ฑด๋๋ฐ์"ํด๋ Override Refusal Template ์ ์) 4. ๋ชจ๋ ์ ์ ์กฐ๊ฑด ํต๊ณผ ํ ์์ด์ ํธ ์์ ์์ 5. ์์ด์ ํธ ์๋ฃ ์ `diverga_mark_checkpoint()` ์ผ๋ก ๊ฒฐ์ ๊ธฐ๋ก
1. ๋ชจ๋ ํธ๋ฆฌ๊ฑฐ๋ ์์ด์ ํธ์ prerequisites๋ฅผ ํฉ์งํฉ์ผ๋ก ์์ง 2. Checkpoint Dependency Order์ ๋ฐ๋ผ ์ ๋ ฌ (Level 0 โ Level 5) 3. ๊ฐ ์ ์ ์กฐ๊ฑด์ AskUserQuestion ๋๊ตฌ๋ก ์์๋๋ก ์ง๋ฌธ 4. ์ค๋ณต ์ฒดํฌํฌ์ธํธ๋ ํ ๋ฒ๋ง ์ง๋ฌธ 5. ๋ชจ๋ ์ ์ ์กฐ๊ฑด ํด๊ฒฐ ํ ์์ด์ ํธ๋ค์ ๋ณ๋ ฌ ์คํ 6. ๊ฐ ์์ด์ ํธ ์คํ ์ค ์์ฒด ์ฒดํฌํฌ์ธํธ๋ AskUserQuestion ํ์
1. ๋ฐ๋์ AskUserQuestion ๋๊ตฌ ์ฌ์ฉ (ํ ์คํธ ์ง๋ฌธ ๊ธ์ง) 2. `.claude/references/checkpoint-templates.md`์ ํ๋ผ๋ฏธํฐ ์ฌ์ฉ 3. ์๋ต ๋ฐ์ ๋๊น์ง STOP and WAIT 4. `diverga_mark_checkpoint(checkpoint_id, decision, rationale)` ์ผ๋ก ๊ฒฐ์ ๊ธฐ๋ก
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Your AI research assistant for the **complete research lifecycle** - from question formulation to publication.
**24 Specialized Agents** across **9 Categories** (A-G, I, X) supporting quantitative, qualitative, mixed methods, and systematic review automation.
**Core Principle**: "Human decisions remain with humans. AI handles what's beyond human scope." > "์ธ๊ฐ์ด ํ ์ผ์ ์ธ๊ฐ์ด, AI๋ ์ธ๊ฐ์ ๋ฒ์ฃผ๋ฅผ ๋ฒ์ด๋ ๊ฒ์ ์ํ"
**Language Support**: English. Responds in Korean when user input is Korean.
**Paradigm Support**: Quantitative | Qualitative | Mixed Methods
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ v6.0 Design Principle โ โ โ โ "AI works BETWEEN checkpoints, humans decide AT them" โ โ โ โ โโโโโโโโโโโ โโโโโโโโโโโ โโโโโโโโโโโ โ โ โ Stage 1 โ โโโถ โ STOP & โ โโโถ โ Stage 2 โ โ โ โ (AI) โ โ ASK โ โ (AI) โ โ โ โโโโโโโโโโโ โโโโโโโโโโโ โโโโโโโโโโโ โ โ โฒ โ โ โ โ โ Human Decision Required โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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| Level | Behavior | Checkpoints | |-------|----------|-------------| | **REQUIRED** | System STOPS - Cannot proceed without explicit approval | CP_RESEARCH_DIRECTION, CP_PARADIGM_SELECTION, CP_THEORY_SELECTION, CP_METHODOLOGY_APPROVAL | | **RECOMMENDED** | System PAUSES - Strongly suggests approval | CP_ANALYSIS_PLAN, CP_INTEGRATION_STRATEGY, CP_QUALITY_REVIEW | | **OPTIONAL** | System ASKS - Defaults available if skipped | CP_VISUALIZATION_PREFERENCE, CP_RENDERING_METHOD |
| Checkpoint | When | What to Ask | |------------|------|-------------| | **CP_RESEARCH_DIRECTION** | Research question finalized | "Research direction is set. Shall we proceed?" + VS alternatives | | **CP_PARADIGM_SELECTION** | Methodology approach | "Please select your research paradigm: Quantitative/Qualitative/Mixed" | | **CP_THEORY_SELECTION** | Framework chosen | "Please select your theoretical framework" + VS alternatives | | **CP_METHODOLOGY_APPROVAL** | Design complete | If VS Arena enabled โ dispatch `/diverga:vs-arena`; else present methodology + VS alternatives | | **CP_META_GATE** | Meta-analysis gate failure | "Meta-analysis gate validation failed. Please select direction" (C5) | | **SCH_DATABASE_SELECTION** | Before paper retrieval | "Please select databases" (I1) | | **SCH_SCREENING_CRITERIA** | Before AI screening | "Please approve inclusion/exclusion criteria" (I2) |
| Checkpoint | When | What to Ask | |------------|------|-------------| | **CP_ANALYSIS_PLAN** | Before analysis | "Would you like to review the analysis plan?" | | **CP_INTEGRATION_STRATEGY** | Mixed methods only | "Please confirm the integration strategy" | | **CP_QUALITY_REVIEW** | Assessment done | "Please review quality assessment results" |
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Research Coordinator auto-detects your research paradigm from conversation signals.
**Quantitative signals**: hyp
## ๐ฅ ๅ่ ยท StatsPAI โ Stata ไธ R ็ Python ๅนณๆฟ๏ผไธบ AI Agent ่็ ๐ Stata / R ๅนณๆฟ๏ผreghdfeใcsdidใrdrobustใsynthใfixestใdid ็ญๅธธ็จๅฝไปคๅจ Python ไธญไธ็ซๅผๆฟไปฃ๏ผไธไธช import statspai as sp ๆๅฎ DID / RD / IV / SCM / DML / matching ๐ค ้ขๅ Agent ่ฎพ่ฎก๏ผ็ปๆๅ็ปๆๅฏน่ฑก + ๅ ็ฝฎ MCP Server๏ผClaude / Codex
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack โ pandas + numpy + scipy +โฆ
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Classical end-to-end empirical analysis workflow in the traditional Python econometric stack โ pandas + numpy + scipy +โฆ
Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem โ native Stata + reghdfe + ivreg2 + csdid +โฆ
Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem โ dplyr + tidyr + haven +โฆ
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-readyโฆ
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also coversโฆ
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, fillingโฆ