research-edge-series

Claude Skills

This directory contains Claude Skills developed as part of the Research Edge Series.

Available Skills

Qualitative Analysis Skill

File: qual-analysis.zip Referenced in: Article #005 — AI and the Qualitative Analysis Problem

A structured qualitative analysis pipeline that runs open coding, theme construction, quote selection, pattern detection, and quality checks — with full traceability back to source text.

What it produces:

How to install:

  1. Open Claude
  2. Go to Settings → Capabilities → Skills
  3. Upload the Skill file from this directory
  4. Provide your qualitative data and ask for analysis

Correspondence Analysis Skill

File: correspondence-analysis.zip

Companion skill for the browser-based Correspondence Analysis Map. Helps Claude reason about brand × attribute biplots, choose appropriate standardisation, and interpret the resulting clusters and white-space.

GenAI on Quantitative Survey Data — workflow skills

Three composable Claude Code skills that go with Article #006 — A Working Framework for Using GenAI on Quantitative Survey Data. Together they cover prep through analysis: the LLM interprets, Python computes, the analyst verifies.

flatten-crosstab

File: flatten-crosstab.zip Pairs with: Path A in the article

Converts agency crosstab deliverables (XLSX, XLS, CSV) into a flat, self-describing format. The skill inspects the file, confirms the structure with you, then runs Python to flatten deterministically. Outputs long and wide flat files, a data dictionary, and a four-check validation report.

Use this when a crosstab has already arrived and you need to get it into a shape an LLM can read without losing meaning.

extract-crosstabs

File: extract-crosstabs.zip Pairs with: Path C in the article

Generates flat-format crosstabs directly from raw respondent-level data (.sav, .csv, .xlsx). Supports all five question types, analyst-driven weighting, conditional bases, custom NETs, and optional significance testing. Outputs the flat file plus a formatted crosstab Excel — chainable into flatten-crosstab if you need both forms.

Use this when you only have raw data and need to produce the standard cross-cut tables yourself.

tidy-data-analysis

File: tidy-data-analysis.zip Pairs with: the analysis stage of the article

Picks up where the prep stack ends. Works through research objectives interactively — proposes analytical moves, runs them deterministically, and helps you pin each finding to its supporting evidence. Auto-runs four sanity checks per finding. Exports findings together with the tables behind them, and sessions resume across sittings.

Use this when the data is clean and you need help going from a flat file to a defensible set of findings.

Companion specification: the flat-format DP delivery spec defines the same flat output shape that data processing teams can produce at source — useful when you want the format upstream rather than after the fact.

Install (Claude Code skills):

  1. Download the relevant .zip from this directory
  2. Locate your ~/.claude/skills/ directory
  3. Unzip the package into that folder so the skill is registered
  4. Hand Claude your input file and invoke the skill

Skills are open source and free to use. See github.com/vtmade for more.

This site is open source. Improve this page.