pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Create concise policy briefs that translate research into actionable recommendations for policymakers and stakeholders.
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill policy-brief-writing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/policy-brief-writingContext preview
The summary Claude sees to decide when to auto-load this skill.
Create concise policy briefs that translate research into actionable recommendations for policymakers and stakeholders.
name: policy-brief-writing
description: Create concise policy briefs that translate research into actionable recommendations for policymakers and stakeholders.
owner: Vera / Research
tags: [writing, policy, briefs]
triggers: ["policy brief", "policy memo", "write a briefing"]
inputs:
- name: evidence_and_findings
type: file
required: true
outputs:
- name: policy_brief
type: document
- name: talking_points
type: document
examples:
- prompt: |
Draft a 2-page policy brief summarizing childcare affordability findings for state legislators.
expected: |
Executive summary, evidence summary, policy options, recommendations, and suggested talking points.
guardrails: |
Ensure claims are evidence-backed; escalate if data limitations would mislead stakeholders.Purpose
Guide the drafting, structuring and polishing of policy briefs targeted to decision-makers.
Workflow
1. Clarify purpose and audience. 2. Outline structure and messaging. 3. Draft sections with clear evidence and recommendations. 4. Design visuals and talking points. 5. Review, iterate, and prepare final deliverables.
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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