Nps verbatim theme extractor
Skill sisodiabhumca/agent-skills/skills/nps-verbatim-theme-extractor
Production-Ready Agent Skills : product analytics, growth experiments, CRM, research synthesis, postmortems, data contracts, SaaS spend, compliance, architecture maps, and LLM eval and many more.
npx -y skills add sisodiabhumca/agent-skills --skill nps-verbatim-theme-extractorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Vendor-neutral skill to extract themes and sentiment drivers from NPS verbatim responses.
SKILL.md
0.4 KB, as published. Nobody here has run it
Purpose
Use this skill to process structured input and produce a concise, actionable report.
Input
- JSON object or CSV rows with the relevant business signals.
Output
- Structured JSON summary with findings and recommendations.
Gives 0 of the 12 instructions most design systems skills give
Counted across 528 of the 534 authors here whose files we hold, read 2026-08-06
- create a custom theme if neededin 54 of 528, across 10 files
- read the corresponding theme filein 54 of 528, across 10 files
- ask which theme to applyin 53 of 528, across 9 files
- show the theme showcasein 53 of 528, across 9 files
- maintain visual identity across all slidesin 50 of 528, across 6 files
- apply the specified colors and fontsin 47 of 528, across 3 files
- get explicit confirmationin 45 of 528, across 1 file
- Generate a design system before codingin 19 of 528, across 6 files
- Maintain at least 4.5:1 color contrast ratioin 19 of 528, across 8 files
- Describe component shapes, colors, shadows, and interaction statesin 18 of 528, across 4 files
- Check Python installation and install if missingin 17 of 528, across 4 files
- Default to html-tailwind if stack is unspecifiedin 17 of 528, across 4 files
Said here and by no other author read
- process structured JSON or CSV input
- produce a concise actionable report
- extract themes from verbatim responses
- extract sentiment drivers from responses
- return a structured JSON summary
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.