Open-source skills, specifications and browser tools that go with the Research Edge Series. Built so the methods in the articles are runnable end to end — not just describable. Each entry below explains what the tool does, when to use it, and how to get it set up.
Converts agency crosstab deliverables (XLSX, XLS, CSV) into a flat, self-describing format. The skill inspects the file, confirms structure with you, and then runs Python to flatten deterministically — so the same input always produces the same output. Designed for studies where a crosstab has already arrived and you need to get it into a shape an LLM can read without losing meaning.
flatten-crosstab.zip above~/.claude/skills/ directoryA version-controlled markdown specification any data processing team can work from. It defines the flat output shape semantically — required columns, row-type taxonomy, value conventions, encoding — while leaving naming and internal workflow flexible. Includes worked examples and an FAQ covering common edge cases. Platform-agnostic and independently shareable.
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.
extract-crosstabs.zip above~/.claude/skills/ directoryPicks 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.
tidy-data-analysis.zip above~/.claude/skills/ directoryA structured qualitative analysis pipeline for Claude. Analyses interview transcripts, focus groups, survey responses and other unstructured text using rigorous methods — grounded theory coding, thematic analysis, and six-lens pattern detection. Produces traceable, auditable output instead of summaries.
qual-analysis.zip aboveTurn any grid of numbers into a perceptual map. See what a thousand data points say in one picture — which columns cluster with which rows, where differentiation lives, and where the white space is. Runs entirely in the browser; no upload, no sign-in.