Individual skill

synthetic-data

Generate structurally realistic synthetic datasets for pipeline prototyping, test coverage, or prospective power analysis. Use when code or design must be exercised before real data are available or accessible. Never substitute synthetic records for governed raw data.

skills/synthetic-data/SKILL.md

Read pinned source

Source commit 08dd9bdf9367f7321c27b7db8c08a125598a613f

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
Skill scan complete: Yes
Observed behavior: Not checked yet
Last checked: Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings): 150
Repository last updated: Nov 3, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

academic-research Repository topic
ai-tools Repository topic
claude Repository topic
claude-code Repository topic
latex Repository topic
phd Repository topic
research-workflow Repository topic
codex Repository topic
design Derived category
data Derived category
testing Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

SKILL.mdcore · 10,194 bytes
references/calibration-targets.mddoc · 14,841 bytes
references/dgp-recipes-experimental.mddoc · 4,851 bytes
references/dgp-recipes-observational.mddoc · 4,211 bytes
references/dgp-recipes-survey-mediation.mddoc · 6,589 bytes
references/dgp-recipes.mddoc · 720 bytes

Read excerpt


# Synthetic Data Generation

> Generate structurally realistic synthetic datasets for pilot testing, power analysis, and method development.

## Modes

| Mode | What it produces | Entry point |
|------|-----------------|-------------|
| **From design** | Synthetic data matching an existing experiment design document | "Generate test data for my experiment" |
| **From schema** | Synthetic data from a user-described structure | "Create a dataset with these variables" |
| **Calibrated** | Synthetic data calibrated to published summary statistics | "Make fake data matching these descriptives" |

Default: **From schema**. If an experiment design document exists in `docs/`, auto-select From design. If user provides published statistics, auto-select Calibrated.