skills/16-hsantanna88-clo-author/dot-claude/skills/new-project/SKILL.md
Full research pipeline from idea to paper. Orchestrates all phases — discovery, strategy, analysis, writing, peer review, and submission. Use when starting a new research project from scratch.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research new-projectInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Launch a full research pipeline from idea to paper, orchestrated through the dependency graph.
Input: $ARGUMENTS — a research topic or interactive for a guided start via /discover interview.
This skill orchestrates the full dependency graph. Each phase activates when its dependencies are met. The orchestrator manages agent dispatch, three-strikes escalation, and quality gates.
Phase 1: Discovery
├── /discover interview → Research Spec + Domain Profile
├── /discover lit → Literature Synthesis + BibTeX
└── /discover data → Data Assessment
Phase 2: Strategy (depends on Phase 1)
└── /strategize → Strategy Memo + Robustness Plan
Phase 3: Execution (depends on Phase 2)
├── /analyze → Scripts + Tables + Figures
└── /write → Paper Sections
Phase 4: Peer Review (depends on Phase 3)
├── /review --all → Comprehensive Quality Score
└── /review --peer → domain-referee + methods-referee Reports
Phase 5: Submission (depends on Phase 4, score >= 95)
├── /submit target → Journal Recommendations
├── /submit package → Replication Package
└── /submit final → Final Verification
Before any work begins:
EnterPlanModedata/raw/, data/cleaned/, scripts/R/, paper/sections/, paper/figures/, paper/tables/, etc.quality_reports/plans/YYYY-MM-DD_new-project.mdIf interactive or no research spec exists:
Run /discover interview to produce:
quality_reports/research_spec_*.md).claude/references/domain-profile.md) — if still templateRun /discover lit with the research topic:
Run /discover data to find datasets:
Gate: Research spec and literature review must exist before proceeding.
/strategize to design the empirical strategy:
Gate: Strategy memo must pass strategist-critic review (score >= 80).
Run /analyze to implement the strategy:
Run /write to draft the paper:
Gate: Code must pass coder-critic review. Paper sections must exist.
Run /review --all for comprehensive review:
Run /review --peer for simulated peer review:
Gate: Aggregate score >= 80 (commit-ready). Score >= 90 for submission.
/submit target for journal recommendations/submit package for replication package/submit final for final verificationThe pipeline pauses for user input at these points:
Between pauses, the orchestrator runs autonomously per workflow.md.
/new-project always runs through the full pipeline.tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.