Skip to content
cccskills
FreePublished on GitHub

Significance-Search

Generate a Stata .do file that compares every subset of optional control variables across parallel instances. The script ranks combinations by the focal variable’s absolute t-statistic, reports the top ten, and fits the highest-ranked model.

OriginalShow the original description

Parallel control variable combination search via Stata. Exhaustively searches all subsets of optional controls to find the combination that maximises |t| of the independent variable. Activates when user says: "控制变量搜索", "搜控制变量", "control variable search", "跑控制变量组合", "暴力搜索", "调控制变量".

Run score Not tested

See how to install

Good for

  • Comparing all subsets of optional control variables
  • Keeping mandatory controls in every regression
  • Preparing parallel regression runs in Stata
  • Reviewing the top ten combinations by absolute t-statistic

Files included (2)

  • SKILL.md3.8 KB
  • template.do14.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Control Variable Search Skill

This skill generates a parallelised Stata .do file that:

  1. Enumerates all subsets of optional control variables via tuples
  2. Runs reghdfe (or user-specified command) for each combination across N parallel Stata instances
  3. Ranks combinations by |t| of the independent variable
  4. Reports Top 10 and runs the best combination regression

Important: This skill only generates the .do file. It does NOT execute it. Tell the user the output path and let them run it in Stata themselves.

What to collect from the user

Ask the user for the following. Items marked (required) must be provided; others have defaults.

ParameterDescriptionDefault
data file (required)Full path to the .dta file--
dependent variable (Y) (required)Y variable name--
independent variable (X) (required)X variable of interest--
cluster variable (required)Variable for clustering SE and fixed effects--
mandatory controls (required)Controls always included--
optional controls (required)Controls to search over (all subsets)--
N_WORKERSNumber of parallel Stata instances8
significance levelTwo-tailed alpha0.01
model commandEstimation commandreghdfe
absorbFixed effects specificationabsorb(<<CLUSTER>> year)
vceVariance-covariance specificationvce(cluster <<CLUSTER>>)
STATA_EXEPath to Stata executableE:\Stata\StataMP-64.exe

Critical constraints

  • Optional controls must be <= 14 variables. With 15+ variables, tuples generates 32,768+ combinations and will freeze Stata. If the user provides more than 14, warn them and ask them to reduce or move some into mandatory controls.
  • The output .do file path is <data_dir>\控制变量搜索_并行.do by default, placed next to the data file.

How to generate

After collecting parameters:

  1. Read the template at C:\Users\Verasuna\.claude\skills\ControlVariable\template.do
  2. Replace all <<PLACEHOLDERS>> with user-provided values (see table below)
  3. Write the result to <data_dir>\控制变量搜索_并行.do
  4. Do NOT execute it. Tell the user: "do文件已生成至 <path>,请在Stata中手动运行。"

Do not modify any code logic in the template. Only replace placeholders.

Placeholder reference

<<N_WORKERS>>          e.g. 8
<<STATA_EXE>>          e.g. E:\Stata\StataMP-64.exe
<<PROJ_DIR>>           directory containing the .dta file
<<DATA_FILE>>          filename of .dta (just the name, not full path)
<<SIGNIFICANCE>>       e.g. 0.01
<<DEP_VAR>>            dependent variable (Y)
<<INDEP_VAR>>          independent variable (X)
<<MANDATORY_CONTROLS>> space-separated mandatory controls
<<OPTIONAL_CONTROLS>>  space-separated optional controls
<<MODEL_CMD>>          e.g. reghdfe
<<MODEL_ABSORB>>       e.g. absorb(stkcd year)
<<MODEL_VCE>>          e.g. vce(cluster stkcd)
<<HEARTBEAT_STALL>>    300

Typical usage

User says: "Y是GTFPEFF8,X是Size,聚类到stkcd,必选控制变量Lev,可选控制变量ROA ROE ATO Cashflow,数据文件是 C:\data\mydata.dta"

Then fill:

  • <<DEP_VAR>> = GTFPEFF8
  • <<INDEP_VAR>> = Size
  • <<MODEL_ABSORB>> = absorb(stkcd year)
  • <<MODEL_VCE>> = vce(cluster stkcd)
  • <<MANDATORY_CONTROLS>> = Lev
  • <<OPTIONAL_CONTROLS>> = ROA ROE ATO Cashflow
  • <<PROJ_DIR>> = C:\data
  • <<DATA_FILE>> = mydata.dta
  • Other placeholders use defaults

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

a1

FreeSummary

Turn a broad research idea into clear, testable questions. Compare familiar and less conventional approaches, structure the selected question around its population and methods, and assess variables, feasibility, and potential theoretical contributions.

  • Turn a research topic into testable questions
  • Narrow an overly broad research question
  • Compare alternative research angles
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

a2

FreeSummary

Helps build a research framework by comparing theories, mapping relationships between variables, and deriving testable hypotheses. Explores less conventional options, examines weaknesses and competing explanations, and produces diagrams with anticipated reviewer objections.

  • Comparing theories for a research question
  • Deriving hypotheses from relationships between variables
  • Examining weaknesses and anticipated reviewer objections
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

a5

FreeSummary

Clarify the philosophical assumptions behind a research project and check whether they fit the proposed methods. Get a reasoned research stance, draft proposal wording, and guidance for explaining how the researcher's background and values shape the study.

  • Clarifying philosophical foundations for a research proposal
  • Explaining why the chosen research methods fit the study
  • Drafting a statement about the researcher's position
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

academic-paper

FreeSummary

Plan and draft academic papers through specialized agent roles covering literature, arguments, citations, and review. Get chapter guidance, revision roadmaps, Traditional Chinese and English abstracts, and documents formatted as LaTeX, DOCX, PDF, or Markdown.

  • Planning a paper chapter by chapter
  • Drafting a paper from research materials
  • Turning reviewer comments into a revision roadmap
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

Turn a detailed outline into a philosophy or interdisciplinary manuscript. Draft chapters with repeated quality reviews, check terminology and arguments across sections, and prepare the manuscript, evaluation reports, abstract, and metadata for submission.

  • Draft a full paper from a detailed outline
  • Review argument and citation quality chapter by chapter
  • Check terminology and argument flow across chapters
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.

  • Review a manuscript before journal submission
  • Examine research methods and statistical validity
  • Challenge core arguments and alternative explanations
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

See all skills by brycewang-stanford

Report a problem with this skill