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Use when executing and reporting the analysis for an Administrative Science Quarterly (ASQ) manuscript — qualitative coding and data-to-theory construction, or quantitative estimation and robustness. Makes the evidence-to-theory link transparent; it does not design the study (see asq-methods).
asq-data-analysis is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Data Analysis & Evidence (asq-data-analysis) ## When to trigger - You have data but the path from data to theory is opaque - Qualitative: your quotes are deco. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding asq-data-analysis to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install brycewang-stanford/Awesome-Journal-SkillsReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Data Analysis & Evidence (asq-data-analysis) ## When to trigger - You have data but the path from data to theory is opaque - Qualitative: your quotes are decorative, not evidenti