YC

yichaoli921/china-policy-pilot-search

Code review

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A Codex skill for tracing Chinese policy pilots from national files down to province, city, county, and research-ready output tables.

Overview

🎯 A dedicated study for Chinese policy: tracking policy pilots section by section from "central documents → provinces, → cities, → counties, districts," and organizing them into structured tables that can be directly used for research. China-policy-pilot-search applies to a recurring type of China policy research workflow: 1. 🎯 Start from a single policy name 2. 🔒 Lock in official central documents and pilot year 3. 🗺️ Break down by province × year 4. 🏛️ Continue digging deeper into city and county evidence 5. 🏷️ Place name standardization, leaving traceable links and notes - 🔬 : Restored "Which year was the pilot started" into usable panels - 📅 : Pieced together scattered official announcements into a complete schedule - 🗄️ : Distilled recurring workflows into reusable skills - 🅱️ : For broad recall - 🌐 : For hard evidence - 🖱️ : For deep scraping, attachments, PDF, XLS, in-depth official pages - When policy names are easily confused (for example, slogans are similar, but titles differ by just one or two characters), **let users confirm which official policy they actually need to study 1. 📊 (city-level source table) 2. 📊 (county-level master table) 3. 📝 1. 🔒 Locked in central policy notices & first batch list announcements 2. 🕵️ Found that the official list was embedded as "images" instead of plain text tables 3. 🖱️ Retrieved image sources using web-access 4. 🧱 Organized the first batch list as: - City-level source workbook - County-level main workbook - A brief description of the Markdown search process

Overview (machine translated)


👋 What is this?

🎯 > A Codex Skill specifically for China policy research: Tracks policy pilots section by section from “central documents → provinces → cities → counties and districts” and organizes them into structured tables that can be directly used for research.

china-policy-pilot-search Suitable for a recurring type of China policy research workflow:

  1. 🎯 Start from a policy name
  2. 🔒 Lock in the official central document and pilot year
  3. 🗺️ Dismantling by × years
  4. 🏛️ Continue to dig deeper into the evidence from the city and county/district
  5. 🏷️ Place name standardization, leaving traceable links with 备注

It is especially suitable for the following tasks:

  • 🔬 DID Sample Build: Restore “Which year was the pilot started” into usable panels
  • 📅 Pilot Timeline Reconstruction: Piece together scattered official announcements into a complete timeline
  • 🗄️ Policy Pilot Database: Distill recurring workflows into reusable skills

✨ What can this Skill help you do?

Scenario What to solve
🕵️ Identify which areas have entered a Chinese policy pilot Trace the official sources layer by layer to avoid overcalculations
🆚 Distinguish between central government notices and provincial/municipal implementation traces Clearly see the level of evidence
🧩 Restore the list of pilot cities/counties from scattered pages Automatically aggregate the list of images, attachments PDF, XLS
🕸️ Chinese search engine + web-access dual swords combined Significantly improved search efficiency
🏷️ Before empirical proofing, standardize place names Combine aliases, remove noise, and do so in one seamless process
📊 Output structure fixed Excel + links + notes You can write papers right here

🧭 Core Workflow

This Skill is intentionally designed to combine the following three types of tools:

  • 🅱️ Chinese search engine: Used for broad recalls
  • 🌐 Official domain search: Used for hard evidence
  • 🖱️ web-access Tools: Used for deep scraping, attachments, PDF, XLS, and deep official pages

🤝 Two manual confirmation steps

This skill forcibly sets two manual confirmation steps when necessary:

1️⃣ Confirm policy name

  • When policy names are easily confused (for example, slogans are similar, or titles differ by just one or two characters), users must confirm which official policy they actually need to study

2️⃣ Year window confirmation

  • When users haven’t clearly stated their requirements, ask if they want all pilot years or subsets

💡 > Once the user has clearly provided the year window, don’t ask repeatedly~


📦 Final deliverables

Default fixed output:

  1. 📊 City-level source table
  2. 📊 County-level Master Table
  3. 📝 A brief description of the Markdown search process

This page was translated automatically. Technical details may differ from the original.

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Install

npx skillfish add yichaoli921/china-policy-pilot-search
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