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.
Execute this skill enables AI assistant to analyze the sentiment of text data.
Install Analyzing Text Sentiment
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-text-sentiment --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/analyzing-text-sentiment .claude/skills/analyzing-text-sentiment && 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 "analyzing-text-sentiment" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/analyzing-text-sentiment into .claude/skills/analyzing-text-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-text-sentiment", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/analyzing-text-sentimentType 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 jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-text-sentiment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/analyzing-text-sentiment .agents/skills/analyzing-text-sentiment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzing-text-sentiment" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/analyzing-text-sentiment into .agents/skills/analyzing-text-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-text-sentiment", 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 jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-text-sentiment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/analyzing-text-sentiment .cursor/skills/analyzing-text-sentiment && 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 "analyzing-text-sentiment" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/analyzing-text-sentiment into .cursor/skills/analyzing-text-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-text-sentiment", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/analyzing-text-sentiment--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 jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-text-sentiment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/analyzing-text-sentiment .gemini/skills/analyzing-text-sentiment && 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 "analyzing-text-sentiment" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/analyzing-text-sentiment into .gemini/skills/analyzing-text-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-text-sentiment", 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 jeremylongshore/tons-of-skills-marketplace analyzing-text-sentimentInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/analyzing-text-sentiment .github/skills/analyzing-text-sentiment && 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 "analyzing-text-sentiment" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/analyzing-text-sentiment into .github/skills/analyzing-text-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-text-sentiment", 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 jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-text-sentiment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/analyzing-text-sentiment .opencode/skills/analyzing-text-sentiment && 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 "analyzing-text-sentiment" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/analyzing-text-sentiment into .opencode/skills/analyzing-text-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-text-sentiment", 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
analyzing-text-sentiment- GitHub stars
- 2.8k
- Token cost
- ~908 tokens
- SKILL.md length
- 411 words
- Files
- 6 (incl. scripts, references, assets)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Execute this skill enables AI assistant to analyze the sentiment of text data.
- Works in 3 steps: Text Input: The skill receives text data… → Sentiment Analysis: The skill processes… → Result Output: The skill provides a…
- A user requests sentiment analysis
- SKILL.md covers Overview, How It Works, When to Use This Skill and Examples, plus 7 more sections
- Runs Python scripts from its folder
What it does
Analyzing Text Sentiment is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute this skill enables AI assistant to analyze the sentiment of text data. it identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. use this skill when a user requests sentiment analysis, opinion mining, or emoti... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts, reference files and assets (for example `assets/README.md`, `assets/sentiment_analysis_report_template.md` and `references/README.md`). Compatibility notes: Designed for Claude Code
It sits in Sales & Support, covering Customer feedback analysis. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- A user requests sentiment analysis
- With phrases like analyze
Example prompts
- “analyze”
- “review”
- “examine”
- “/analyzing-text-sentiment”
Requirements
- Python 3
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Bash(cmd:*), Grep
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Text Input: The skill receives text data as input from the user.
- Sentiment Analysis: The skill processes the text using a pre-trained sentiment analysis model to determine the sentiment polarity…
- Result Output: The skill provides a sentiment score and classification, indicating the overall sentiment expressed in the text.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBash(cmd:*)Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
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.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Analyzing Text Sentiment loads about 908 tokens when it runs, and up to ~925 if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 411 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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 411 words, ~908 tokens.
Download SKILL.mdSave it as
.claude/skills/analyzing-text-sentiment/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- analyzing-text-sentiment
- description
- Execute this skill enables AI assistant to analyze the sentiment of text data. it identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. use this skill when a user requests sentiment analysis, opinion mining, or emoti... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
- allowed-tools
- Read, Write, Bash(cmd:*), Grep
- compatibility
- Designed for Claude Code
- version
- 1.22.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- tags
- ai, analyzing-text
Sentiment Analysis Tool
Classify text sentiment as positive, negative, or neutral with confidence scores for customer reviews, social media posts, and survey responses.
Overview
This skill empowers Claude to perform sentiment analysis on text, providing insights into the emotional content and polarity of the provided data. By leveraging AI/ML techniques, it helps understand public opinion, customer feedback, and overall emotional tone in written communication.
How It Works
- Text Input: The skill receives text data as input from the user.
- Sentiment Analysis: The skill processes the text using a pre-trained sentiment analysis model to determine the sentiment polarity (positive, negative, or neutral).
- Result Output: The skill provides a sentiment score and classification, indicating the overall sentiment expressed in the text.
When to Use This Skill
This skill activates when you need to:
- Determine the overall sentiment of customer reviews.
- Analyze the emotional tone of social media posts.
- Gauge public opinion on a particular topic.
- Identify positive and negative feedback in survey responses.
Examples
Example 1: Analyzing Customer Reviews
User request: "Analyze the sentiment of these customer reviews: 'The product is amazing!', 'The service was terrible.', 'It was okay.'"
The skill will:
- Process the provided customer reviews.
- Classify each review as positive, negative, or neutral and provide sentiment scores.
Example 2: Monitoring Social Media Sentiment
User request: "Perform sentiment analysis on the following tweet: 'I love this new feature!'"
The skill will:
- Analyze the provided tweet.
- Identify the sentiment as positive and provide a corresponding sentiment score.
Show full SKILL.md (159 more words)Show less
Best Practices
- Data Quality: Ensure the input text is clear and free from ambiguous language for accurate sentiment analysis.
- Context Awareness: Consider the context of the text when interpreting sentiment scores, as sarcasm or irony can affect results.
- Model Selection: Use appropriate sentiment analysis models based on the type of text being analyzed (e.g., social media, customer reviews).
Integration
This skill can be integrated with other Claude Code plugins to automate workflows, such as summarizing feedback alongside sentiment scores or triggering actions based on sentiment polarity (e.g., escalating negative feedback).
Prerequisites
- Appropriate file access permissions
- Required dependencies installed
Instructions
- Invoke this skill when the trigger conditions are met
- Provide necessary context and parameters
- Review the generated output
- Apply modifications as needed
Output
The skill produces structured output relevant to the task.
Error Handling
- Invalid input: Prompts for correction
- Missing dependencies: Lists required components
- Permission errors: Suggests remediation steps
Resources
- Project documentation
- Related skills and commands
© jeremylongshore, 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 5 other files (scripts, references, assets) in skills/.curated/analyzing-text-sentiment of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- assets/README.md
- assets/sentiment_analysis_report_template.md
- references/README.md
- scripts/README.md
- scripts/analyze_sentiment.py
Open the folder on GitHubat commit cfae287
Compare with similar skills
Analyzing Text Sentiment 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 |
|---|---|---|---|---|---|---|
| Analyzing Text Sentiment this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~908 | 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 Analyzing Text Sentiment
What does Analyzing Text Sentiment do?
Execute this skill enables AI assistant to analyze the sentiment of text data. Analyzing Text Sentiment is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute this skill enables AI assistant to analyze the sentiment of text data.
When should I use Analyzing Text Sentiment?
Analyzing Text Sentiment fits situations like: A user requests sentiment analysis; with phrases like analyze.
How do I install Analyzing Text Sentiment in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a claude-code`. Or copy the skill folder (skills/.curated/analyzing-text-sentiment in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/analyzing-text-sentiment in your project. Claude Code loads it when a task matches its description.
How do I install Analyzing Text Sentiment in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a codex`. Or copy the skill folder (skills/.curated/analyzing-text-sentiment in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/analyzing-text-sentiment in your project. Codex loads it when a task matches its description.
Can I use Analyzing Text Sentiment 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 jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-sentiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-text-sentiment, .gemini/skills/analyzing-text-sentiment, .github/skills/analyzing-text-sentiment and .opencode/skills/analyzing-text-sentiment in your project.
What does Analyzing Text Sentiment need to run?
Going by SKILL.md and its folder, Analyzing Text Sentiment needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
Does Analyzing Text Sentiment 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 Analyzing Text Sentiment 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 Analyzing Text Sentiment use?
Analyzing Text Sentiment 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 Analyzing Text Sentiment use?
About 908 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17 tokens, read only when the agent opens those files.
What are the alternatives to Analyzing Text Sentiment?
Skills that share tags, products or a category with Analyzing Text Sentiment: 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 Analyzing Text Sentiment?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.