Review Analysis
liangdabiao/amazon-sorftime-research-MCP-skill
对亚马逊商品评论进行深度分析，自动识别产品痛点、分析退货原因，生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.
Analyse CSAT / NPS / CES survey results and turn the score into actions.
Install Csat Nps Analysis
$ npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills csat-nps-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/csat-nps-analysis .claude/skills/csat-nps-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "csat-nps-analysis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/csat-nps-analysis into .claude/skills/csat-nps-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csat-nps-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/csat-nps-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills csat-nps-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/csat-nps-analysis .agents/skills/csat-nps-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "csat-nps-analysis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/csat-nps-analysis into .agents/skills/csat-nps-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csat-nps-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills csat-nps-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/csat-nps-analysis .cursor/skills/csat-nps-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "csat-nps-analysis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/csat-nps-analysis into .cursor/skills/csat-nps-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csat-nps-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mohitagw15856/pm-claude-skills.git --path skills/csat-nps-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills csat-nps-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/csat-nps-analysis .gemini/skills/csat-nps-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "csat-nps-analysis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/csat-nps-analysis into .gemini/skills/csat-nps-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csat-nps-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mohitagw15856/pm-claude-skills csat-nps-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/csat-nps-analysis .github/skills/csat-nps-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "csat-nps-analysis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/csat-nps-analysis into .github/skills/csat-nps-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csat-nps-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills csat-nps-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/csat-nps-analysis .opencode/skills/csat-nps-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "csat-nps-analysis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/csat-nps-analysis into .opencode/skills/csat-nps-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csat-nps-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
csat-nps-analysis- GitHub stars
- 1.4k
- Token cost
- ~917 tokens
- SKILL.md length
- 421 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyse CSAT / NPS / CES survey results and turn the score into actions.
- Asked to analyse NPS
- SKILL.md covers Required Inputs, Output Format, Programmatic Helper and Quality Checks, plus 3 more sections
- Runs Python scripts from its folder; calls python3
- Compute an NPS score
What it does
Csat Nps Analysis is an agent skill from mohitagw15856/pm-claude-skills. Analyse CSAT / NPS / CES survey results and turn the score into actions. Use when asked to analyse NPS, CSAT, or CES data, compute an NPS score, interpret survey verbatims, or build a voice-of-customer readout. Produces a readout — the computed score, the trend & benchmark, themed analysis of the comments (what drives promoters vs. detractors), and prioritised actions. Includes a stdlib NPS/CSAT calculator.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/nps.py`).
It sits in Sales & Support, covering Customer feedback analysis. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to analyse NPS
- Compute an NPS score
- Interpret survey verbatims
- Build a voice-of-customer readout
Example prompts
- “/csat-nps-analysis”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Csat Nps Analysis loads about 917 tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 421 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 421 words, ~917 tokens.
Download SKILL.mdSave it as
.claude/skills/csat-nps-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- csat-nps-analysis
- description
- Analyse CSAT / NPS / CES survey results and turn the score into actions. Use when asked to analyse NPS, CSAT, or CES data, compute an NPS score, interpret survey verbatims, or build a voice-of-customer readout. Produces a readout — the computed score, the trend & benchmark, themed analysis of the comments (what drives promoters vs. detractors), and prioritised actions. Includes a stdlib NPS/CSAT calculator.
CSAT / NPS Analysis Skill
A satisfaction score on its own is a vanity number — the value is in why it's that number and what to do. This skill computes the score correctly (NPS is %promoters − %detractors, not an average), reads the verbatims for the themes driving promoters and detractors, and turns it into a prioritised action list — so a survey becomes a roadmap, not a slide.
Required Inputs
Ask for these only if they aren't already provided:
- The metric & data — NPS (0–10 ratings), CSAT (e.g. 1–5 or % satisfied), or CES; the response counts/distribution.
- The verbatims — open-text comments (the gold; paste what you have).
- Context — segment, time period, and the prior score for trend.
Output Format
[CSAT / NPS / CES] Readout: [segment, period]
1. The score — computed (use the helper for NPS/CSAT): the headline number, the distribution (promoters/passives/detractors for NPS), the trend vs. last period, and the benchmark (industry/your target). State the formula — NPS is a net of percentages, not an average.
2. What's driving it — theme the verbatims:
- Promoters love: the 2–3 recurring reasons people rate high (protect/amplify these).
- Detractors hurt by: the 2–3 recurring pains (these are your fix list).
- Passives need: what would move them up. Quote a representative comment per theme.
3. Segments — where the score is notably worse/better (plan, tenure, channel), if the data allows — the average hides this.
4. Actions — prioritised: the highest-frequency × highest-impact detractor themes first, each with an owner and the metric it should move. A score with no actions is wasted.
Show full SKILL.md (173 more words)Show less
Programmatic Helper
scripts/nps.py (stdlib only) computes NPS / CSAT from the rating distribution:
# NPS from 0-10 counts (11 numbers, ratings 0..10):
python3 scripts/nps.py nps 12 5 8 ...
# CSAT % satisfied (ratings 4-5 on a 1-5 scale):
python3 scripts/nps.py csat 2 3 10 40 55
python3 scripts/nps.py nps "...counts..." --jsonQuality Checks
- NPS is computed as %promoters − %detractors (not an average of scores)
- The distribution and trend vs. last period are shown, plus a benchmark/target
- Verbatims are themed into promoter/detractor drivers, with a representative quote each
- Segment differences are surfaced where the data allows (the average lies)
- Ends with prioritised, owned actions tied to the biggest detractor themes
Anti-Patterns
- Do not average NPS ratings — it's a net of percentages; averaging gives a meaningless number
- Do not report the score without the why — the verbatims are where the action is
- Do not ignore passives — they're the cheapest group to convert into promoters
- Do not stop at the score — an analysis with no prioritised action changes nothing
- Do not trust a tiny sample — flag low n; a 12-response NPS swing is noise, not a trend
Based On
Voice-of-customer practice — correct NPS/CSAT/CES computation, verbatim theming, and action prioritisation.
Example Trigger Phrases
- "Analyse NPS."
- "Compute an NPS score."
- "Interpret survey verbatims."
- "Build a voice-of-customer readout."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/csat-nps-analysis of mohitagw15856/pm-claude-skills.
- SKILL.md
- scripts/nps.py
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Csat Nps Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Csat Nps Analysis this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~917 | Automated safety check: Pass | MIT | |
| Review Analysisliangdabiao/amazon-sorftime-research-MCP-skill | 959 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Bggg Data Amazonbinggandata/bggg-skills | 605 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Zsxqunnoo/zsxq-skill | 304 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Roadtrip NavigatorWaybox-AI/roadtrip-skill | 126 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Always Compareai-analyst-lab/ai-analyst | 304 | — | ~1.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Csat Nps Analysis
What does Csat Nps Analysis do?
Analyse CSAT / NPS / CES survey results and turn the score into actions. Csat Nps Analysis is an agent skill from mohitagw15856/pm-claude-skills. Analyse CSAT / NPS / CES survey results and turn the score into actions.
When should I use Csat Nps Analysis?
Csat Nps Analysis fits situations like: asked to analyse NPS; compute an NPS score; interpret survey verbatims; build a voice-of-customer readout.
How do I install Csat Nps Analysis in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a claude-code`. Or copy the skill folder (skills/csat-nps-analysis in mohitagw15856/pm-claude-skills) into .claude/skills/csat-nps-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Csat Nps Analysis in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a codex`. Or copy the skill folder (skills/csat-nps-analysis in mohitagw15856/pm-claude-skills) into .agents/skills/csat-nps-analysis in your project. Codex loads it when a task matches its description.
Can I use Csat Nps Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill csat-nps-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/csat-nps-analysis, .gemini/skills/csat-nps-analysis, .github/skills/csat-nps-analysis and .opencode/skills/csat-nps-analysis in your project.
What does Csat Nps Analysis need to run?
Going by SKILL.md and its folder, Csat Nps Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Csat Nps Analysis access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Csat Nps Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Csat Nps Analysis use?
Csat Nps Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Csat Nps Analysis use?
About 917 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Csat Nps Analysis?
Skills that share tags, products or a category with Csat Nps Analysis: Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars), Bggg Data Amazon (binggandata/bggg-skills, 605 stars), Zsxq (unnoo/zsxq-skill, 304 stars) and Roadtrip Navigator (Waybox-AI/roadtrip-skill, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Csat Nps Analysis?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.