Customer Support
aiskillstore/marketplace
Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences.
Analyze sentiment in text using ML models. An agent skill from guia-matthieu/clawfu-skills.
Install Sentiment Analyzer
$ npx skills add guia-matthieu/clawfu-skills --skill sentiment-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install guia-matthieu/clawfu-skills sentiment-analyzer --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/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analytics/sentiment-analyzer .claude/skills/sentiment-analyzer && 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 "sentiment-analyzer" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/sentiment-analyzer into .claude/skills/sentiment-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analyzer", 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/guia-matthieu/clawfu-skills/tree/main/skills/analytics/sentiment-analyzerType 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 guia-matthieu/clawfu-skills --skill sentiment-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install guia-matthieu/clawfu-skills sentiment-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analytics/sentiment-analyzer .agents/skills/sentiment-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sentiment-analyzer" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/sentiment-analyzer into .agents/skills/sentiment-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analyzer", 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 guia-matthieu/clawfu-skills --skill sentiment-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install guia-matthieu/clawfu-skills sentiment-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analytics/sentiment-analyzer .cursor/skills/sentiment-analyzer && 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 "sentiment-analyzer" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/sentiment-analyzer into .cursor/skills/sentiment-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analyzer", 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/guia-matthieu/clawfu-skills.git --path skills/analytics/sentiment-analyzer--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 guia-matthieu/clawfu-skills --skill sentiment-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install guia-matthieu/clawfu-skills sentiment-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analytics/sentiment-analyzer .gemini/skills/sentiment-analyzer && 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 "sentiment-analyzer" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/sentiment-analyzer into .gemini/skills/sentiment-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analyzer", 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 guia-matthieu/clawfu-skills sentiment-analyzerInstalls 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 guia-matthieu/clawfu-skills --skill sentiment-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analytics/sentiment-analyzer .github/skills/sentiment-analyzer && 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 "sentiment-analyzer" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/sentiment-analyzer into .github/skills/sentiment-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analyzer", 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 guia-matthieu/clawfu-skills --skill sentiment-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install guia-matthieu/clawfu-skills sentiment-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analytics/sentiment-analyzer .opencode/skills/sentiment-analyzer && 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 "sentiment-analyzer" agent skill from https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/sentiment-analyzer into .opencode/skills/sentiment-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sentiment-analyzer", 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
sentiment-analyzer- GitHub stars
- 150
- Token cost
- ~923 tokens
- SKILL.md length
- 203 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze sentiment in text using ML models. An agent skill from guia-matthieu/clawfu-skills.
- : analyzing customer reviews
- SKILL.md covers When to Use This Skill, What Claude Does vs What You…, Dependencies and Commands, plus 5 more sections
- Runs Python scripts from its folder; calls python and pip
- Processing NPS feedback
What it does
Sentiment Analyzer is an agent skill from guia-matthieu/clawfu-skills. Analyze sentiment in text using ML models. Use when: analyzing customer reviews; processing NPS feedback; monitoring brand mentions; evaluating campaign responses; categorizing support tickets
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/main.py`).
It sits in Sales & Support, covering Customer feedback analysis, Customer support and Machine learning. The repository describes itself as: 172 expert marketing skills for AI agents — ClawFu MCP Server. The licence is MIT.
When your agent uses it
- : analyzing customer reviews
- Processing NPS feedback
- Monitoring brand mentions
- Evaluating campaign responses
Example prompts
- “/sentiment-analyzer”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4108f5c. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Sentiment Analyzer loads about 923 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 203 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 guia-matthieu/clawfu-skills at commit 4108f5c, republished under its MIT licence (© guia-matthieu). 203 words, ~923 tokens.
Download SKILL.mdSave it as
.claude/skills/sentiment-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- sentiment-analyzer
- description
- Analyze sentiment in text using ML models. Use when: analyzing customer reviews; processing NPS feedback; monitoring brand mentions; evaluating campaign responses; categorizing support tickets
- license
- MIT
- metadata.author
- ClawFu
- metadata.version
- 1.0.0
- metadata.mcp-server
- @clawfu/mcp-skills
Sentiment Analyzer
Analyze sentiment in customer feedback using transformer models - understand what your customers really feel at scale.
When to Use This Skill
- Review analysis - Process hundreds of product reviews
- NPS feedback - Categorize open-ended survey responses
- Social listening - Monitor brand sentiment on social media
- Campaign feedback - Evaluate response to marketing campaigns
- Support insights - Categorize support ticket sentiment
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Metric definitions |
| Identifies patterns in data | Business interpretation |
| Creates visualization templates | Dashboard design |
| Suggests optimization areas | Action priorities |
| Calculates statistical measures | Decision thresholds |
Dependencies
pip install transformers torch pandas click
# Or for lighter CPU-only version:
pip install textblob vaderSentiment pandas clickCommands
Analyze Text
python scripts/main.py analyze "This product exceeded my expectations!"
python scripts/main.py analyze "The service was terrible and slow."Batch Analysis
python scripts/main.py batch reviews.csv --column text
python scripts/main.py batch feedback.csv --column comment --output results.csvGenerate Report
python scripts/main.py report reviews.csv --column text --output sentiment-report.htmlExamples
Example 1: Analyze Product Reviews
# Process CSV of reviews
python scripts/main.py batch amazon-reviews.csv --column review_text
# Output: amazon-reviews_sentiment.csv
# review_text | sentiment | score | label
# "Absolutely love this!" | positive | 0.95 | Very Positive
# "It's okay, nothing special" | neutral | 0.52 | Neutral
# "Worst purchase ever" | negative | 0.12 | Very NegativeExample 2: NPS Feedback Categorization
# Analyze NPS survey responses
python scripts/main.py report nps-responses.csv --column feedback
# Output: sentiment-report.html
# Summary:
# - Positive: 62% (mainly: product quality, support)
# - Neutral: 23% (mainly: pricing concerns)
# - Negative: 15% (mainly: shipping delays)Sentiment Categories
| Score Range | Label | Interpretation |
|---|---|---|
| 0.8 - 1.0 | Very Positive | Enthusiastic, recommend |
| 0.6 - 0.8 | Positive | Satisfied, happy |
| 0.4 - 0.6 | Neutral | Mixed or indifferent |
| 0.2 - 0.4 | Negative | Disappointed, frustrated |
| 0.0 - 0.2 | Very Negative | Angry, will churn |
Skill Boundaries
What This Skill Does Well
- Structuring data analysis
- Identifying patterns and trends
- Creating visualization frameworks
- Calculating statistical measures
What This Skill Cannot Do
- Access your actual data
- Replace statistical expertise
- Make business decisions
- Guarantee prediction accuracy
Related Skills
- social-analytics - Get social data to analyze
- content-repurposer - Use insights for content
Skill Metadata
- Mode: centaur
category: analytics
subcategory: nlp
dependencies: [transformers, torch, pandas]
difficulty: intermediate
time_saved: 6+ hours/week© guia-matthieu, 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 2 other files (scripts) in skills/analytics/sentiment-analyzer of guia-matthieu/clawfu-skills.
- SKILL.md
- scripts/main.py
- scripts/requirements.txt
Open the folder on GitHubat commit 4108f5c
Compare with similar skills
Sentiment Analyzer 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 |
|---|---|---|---|---|---|---|
| Sentiment Analyzer this skillguia-matthieu/clawfu-skills | 150 | — | ~923 | Automated safety check: Pass | MIT | |
| Customer Supportaiskillstore/marketplace | 433 | 7 repos | ~2.2k | Automated safety check: Pass | None | |
| Afa Cxafadtc/afa-dtc-skills | 168 | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| User Feedback Aggregationrampstackco/claude-skills | 945 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Voice Of Customer Synthesizergooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Review Managementericrisco/rsc-harness | 180 | — | ~2.9k | Automated safety check: Pass | MIT |
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DTC 客户体验与服务——客服优化、售后/退货、客户旅程、NPS/CSAT、AI 客服。触发词: 客户体验, CX, 客服, 退货, 售后, NPS, CSAT, 投诉, 客户旅程, customer experience, customer service, returns policy, support tickets。复杂问题先经 afa。
User Feedback Aggregation
rampstackco/claude-skills
Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product…
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Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering…
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A skill your agent uses when a public review needs an on-voice reply, when you need to earn more reviews legally, or when an aggregate rating is slipping across Google Business Profile, Trustpilot…
Echo Feedback
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Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report.
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Related
Categories
Questions about Sentiment Analyzer
What does Sentiment Analyzer do?
Analyze sentiment in text using ML models. An agent skill from guia-matthieu/clawfu-skills. Sentiment Analyzer is an agent skill from guia-matthieu/clawfu-skills. Analyze sentiment in text using ML models.
When should I use Sentiment Analyzer?
Sentiment Analyzer fits situations like: : analyzing customer reviews; processing NPS feedback; monitoring brand mentions; evaluating campaign responses.
How do I install Sentiment Analyzer in Claude Code?
Run `npx skills add guia-matthieu/clawfu-skills --skill sentiment-analyzer -a claude-code`. Or copy the skill folder (skills/analytics/sentiment-analyzer in guia-matthieu/clawfu-skills) into .claude/skills/sentiment-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Sentiment Analyzer in Codex?
Run `npx skills add guia-matthieu/clawfu-skills --skill sentiment-analyzer -a codex`. Or copy the skill folder (skills/analytics/sentiment-analyzer in guia-matthieu/clawfu-skills) into .agents/skills/sentiment-analyzer in your project. Codex loads it when a task matches its description.
Can I use Sentiment Analyzer 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 guia-matthieu/clawfu-skills --skill sentiment-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sentiment-analyzer, .gemini/skills/sentiment-analyzer, .github/skills/sentiment-analyzer and .opencode/skills/sentiment-analyzer in your project.
What does Sentiment Analyzer need to run?
Going by SKILL.md and its folder, Sentiment Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Sentiment Analyzer access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Sentiment Analyzer 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 Sentiment Analyzer use?
Sentiment Analyzer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sentiment Analyzer use?
About 923 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 Sentiment Analyzer?
Skills that share tags, products or a category with Sentiment Analyzer: Customer Support (aiskillstore/marketplace, 433 stars), Afa Cx (afadtc/afa-dtc-skills, 168 stars), User Feedback Aggregation (rampstackco/claude-skills, 945 stars) and Voice Of Customer Synthesizer (gooseworks-ai/goose-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sentiment Analyzer?
guia-matthieu (a GitHub user) maintains it in guia-matthieu/clawfu-skills, which has 150 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 1, 2026.
Source: guia-matthieu/clawfu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.