pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Discovers education data from Urban Institute Portal: endpoints, variables, year coverage, join keys (CCD, IPEDS, CRDC, Scorecard, SAIPE). Use to map questions to data. Load before education-data-query — discovery here, download there.
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-explorer --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-explorer -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-explorer -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-explorer -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-explorer -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-explorer -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-explorer -a windsurf -y
name: education-data-explorer description: >- Discovers education data from Urban Institute Portal: endpoints, variables, year coverage, join keys (CCD, IPEDS, CRDC, Scorecard, SAIPE). Use to map questions to data. Load before education-data-query — discovery here, download there. metadata: audience: research-planner domain: data-access
Discovers available education data from the Urban Institute Education Data Portal: endpoints, variables, year coverage, and join keys for schools, districts, and colleges (CCD, IPEDS, CRDC, Scorecard, SAIPE, and more). Use during discovery and scoping phases when identifying what data exists, mapping research questions to endpoints, or resolving variable name discrepancies between documentation and actual field names. Load before education-data-query — this skill covers discovery; education-data-query handles the download.
Discover available education data from the Urban Institute Education Data Portal for research planning and query design.
> **Skill Provenance Note:** Each `*-data-source-*` skill includes > `provenance.skill_last_updated` in its frontmatter. When exploring data > sources during Stage 2, note the provenance dates of any skills you > reference — if more than a few months old, flag this in your findings > so the orchestrator can consider re-verifying with data-ingest.
> **Note:** This workflow uses mirror-based file downloads, not paginated API calls. See `education-data-query` skill for fetch patterns and `datasets-reference.md` for file paths.
| File | Purpose | When to Read | |------|---------|--------------| | `schools-endpoints.md` | All school-level endpoints and variables | Researching K-12 schools | | `districts-endpoints.md` | All district-level endpoints and variables | Researching school districts | | `colleges-endpoints.md` | All college-level endpoints and variables | Researching higher education | | `variable-codes.md` | Code values for states, grades, race, etc. | Interpreting or filtering data | | `metadata-api.md` | Programmatic endpoint/variable discovery | Dynamic exploration |
What entity am I researching?
├─ Individual K-12 schools → schools level
│ └─ See ./references/schools-endpoints.md
├─ School districts / LEAs → school-districts level
│ └─ See ./references/districts-endpoints.md
├─ Colleges / Universities → college-university level
│ └─ See ./references/colleges-endpoints.md
└─ Not sure
├─ Need school-specific data (discipline, AP, demographics) → schools
├─ Need aggregate district data (finance, poverty) → school-districts
└─ Need postsecondary data (enrollment, aid, outcomes) → college-universityResearch topic?
├─ Enrollment / Demographics
│ ├─ K-12 public schools → CCD enrollment endpoints
│ ├─ Civil rights indicators → CRDC enrollment
│ └─ Colleges → IPEDS enrollment
├─ School Finance
│ ├─ District revenue/expenditure → CCD finance
│ └─ College finance → IPEDS finance
├─ Student Outcomes
│ ├─ K-12 assessments → EDFacts
│ ├─ Graduation rates (K-12) → EDFacts
│ ├─ College completion → IPEDS completions
│ └─ Post-college earnings → College Scorecard
├─ Student Aid / Loans
│ ├─ College financial aid → IPEDS aid
│ ├─ Federal loans/grants → FSA
│ └─ Debt/repayment → College Scorecard
├─ Discipline / Civil Rights
│ └─ K-12 discipline, harassment, restraint → CRDC
├─ Poverty Estimates
│ └─ District-level → SAIPE
└─ Directory / Location
├─ K-12 schools → CCD directory
├─ Districts → CCD directory
└─ Colleges → IPEDS directoryFinding variables? ├─ Know the endpoint → Check reference file for variable list ├─ Know the topic → Use topic index below ├─ Need to search programmatically → See ./references/metadata-api.md └─ Need code definitions → See ./references/variable-codes.md
| Level | Key Sources | Primary ID | ID Format | |-------|-------------|------------|-----------| | schools | CCD, CRDC, EDFacts, MEPS, NHGIS | `ncessch` | 12-char string | | school-districts | CCD, SAIPE, EDFacts | `leaid` | 7-char string | | college-university | IPEDS, Scorecard, FSA, PSEO, EADA | `unitid` | 6-digit integer |
| Source | Level | Description | Years | |--------|-------|-------------|-------| | CCD | Schools, Districts | Public K-12 directory, enrollment, finance | 1986-2023 | | CRDC | Schools | Civil rights indicators, discipline, AP courses | 2011-2021 | | EDFacts | Schools, Districts | Assessments, graduation rates | 2009-2020 | | IPEDS | Colleges | Enrollment, completions, finance, institutional data | 1980-2023 | | College Scorecard | Colleges | Earnings, debt, student outcomes | 1996-2020 | | SAIPE | Districts | Census poverty estimates for school-age children | 1995-2023 | | FSA | Colleges | Federal student aid, loans, grants, 90/10 | 1999-2021 | |
## 🔥 力荐 · StatsPAI — Stata 与 R 的 Python 平替,为 AI Agent 而生 🔁 Stata / R 平替:reghdfe、csdid、rdrobust、synth、fixest、did 等常用命令在 Python 中一站式替代,一个 import statspai as sp 搞定 DID / RD / IV / SCM / DML / matching 🤖 面向 Agent 设计:结构化结果对象 + 内置 MCP Server,Claude / Codex
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