Econometrics skill for Difference-in-Differences (DID) analysis.

Custom licenceAuto-check passedResearch & Science

Install Did Analysis

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill did-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills did-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/67-econfin-workflow-toolkit/did-analysis .claude/skills/did-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
did-analysis
GitHub stars
4.5k
Token cost
~1.7k tokens
SKILL.md length
471 words
Files
2 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Econometrics skill for Difference-in-Differences (DID) analysis.

  • Works in 5 steps: Design check: Confirm treatment/control… → Parallel trends: Test with pre-treatment… → Baseline regression: 2×2 DID or TWFE… → …
  • Asks about: difference in differences
  • SKILL.md covers Core DID Logic, DID Workflow, Basic 2×2 DID Model and Parallel Trends: Event Study…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Did Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for Difference-in-Differences (DID) analysis. Activates when the user asks about: "difference in differences", "DID", "DiD", "diff-in-diff", "parallel trends", "treatment group", "control group", "pre-treatment", "post-treatment", "policy evaluation", "natural experiment", "staggered DID", "event study regression", "two-way fixed effects DID", "callaway santanna", "sun and abraham", "双重差分", "倍差法", "平行趋势", "处理组", "对照组", "政策评估", "事件研究", "交错DID", "渐进处理"

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/did-reference.md`).

It sits in Research & Science, covering Econometrics and empirical research. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Asks about: difference in differences
  • Parallel trends
  • Treatment group
  • Policy evaluation

Example prompts

  • “difference in differences”
  • “diff-in-diff”
  • “parallel trends”
  • “/did-analysis”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Design check: Confirm treatment/control assignment and timing
  2. Parallel trends: Test with pre-treatment event study regression
  3. Baseline regression: 2×2 DID or TWFE regression
  4. Staggered design check: If adoption dates vary, use robust estimators
  5. Robustness: Placebo treatment, alternative control groups, callaway-santanna

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are r, stata and python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Did Analysis loads about 1.7k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 471 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 471 words (~1,658 tokens).

“This skill guides complete DID analysis: from assumption validation and model specification to staggered treatment designs and event study regressions. Designed for policy evaluation and natural experiment settings.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
did-analysis

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in skills/67-econfin-workflow-toolkit/did-analysis of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/did-reference.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Did Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Did Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Did Analysis this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.7kAutomated safety check: PassCustom licence
Statadylantmoore/stata-skill2911 repos~4.2kAutomated safety check: PassCustom licence
Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata264—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Did Analysis

What does Did Analysis do?

Econometrics skill for Difference-in-Differences (DID) analysis. Did Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for Difference-in-Differences (DID) analysis.

When should I use Did Analysis?

Did Analysis fits situations like: asks about: difference in differences; parallel trends; treatment group; policy evaluation.

How do I install Did Analysis in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill did-analysis -a claude-code`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/did-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/did-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Did Analysis in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill did-analysis -a codex`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/did-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/did-analysis in your project. Codex loads it when a task matches its description.

Can I use Did Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill did-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/did-analysis, .gemini/skills/did-analysis, .github/skills/did-analysis and .opencode/skills/did-analysis in your project.

What does Did Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Did Analysis is instructions for the agent only. Our summary lists: Python 3.

Does Did Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Did Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Did Analysis use?

Did Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Did Analysis use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Did Analysis?

Skills that share tags, products or a category with Did Analysis: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Did Analysis?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.