Code qualitative data — interview transcripts, open-ended survey responses, field notes, documents, social media — using inductive, deductive, or hybrid approaches. Generates and refines codebooks, applies codes consistently, identifies themes, and supports inter-rater reliability checks. Includes NLP-assisted techniques (sentiment, topic modeling, embeddings) for exploring large corpora. Trigger when: user mentions "thematic analysis", "code transcripts", "qualitative coding", "codebook", "themes", "open coding", "axial coding", "grounded theory", "content analysis", "inter-rater", "Cohen's kappa", "topic modeling", "NLP on transcripts", or runs /code-themes.
$npx -y skills add marazii/research-co-pilot --skill qualitative-codingInstalls into the current project.
Run `npx skills use "https://github.com/marazii/research-co-pilot" --skill "marazii/research-co-pilot/qualitative-coding"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/marazii/research-co-pilot" that are relevant to the current task. Run `npx skills add "https://github.com/marazii/research-co-pilot"` and select the relevant skills, then follow their instructions.