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Agent skill

Analyzing Text With NLP

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin.

MITAuto-check passedAI & LLM Engineering

Install Analyzing Text With NLP

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-with-nlp -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-text-with-nlp --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-with-nlp .claude/skills/analyzing-text-with-nlp && rm -rf skills-src

Use ~/.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/

Facts

Skill name
analyzing-text-with-nlp
GitHub stars
2.8k
Token cost
~819 tokens
SKILL.md length
360 words
Files
8 (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 perform natural language processing and text analysis using the nlp-text-analyzer plugin.

  • Works in 3 steps: Request Analysis: Claude receives a user… → Text Processing: The nlp-text-analyzer… → Insight Extraction: The plugin extracts…
  • Requests analysis of text
  • 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 With NLP is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. it should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or ... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/README.md`, `assets/analysis_report_template.md` and `assets/error_handling_examples.md`). Compatibility notes: Designed for Claude Code

It sits in AI & LLM Engineering, covering Natural language processing and 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

  • Requests analysis of text
  • Including sentiment analysis
  • Keyword extraction
  • With phrases like analyze

Example prompts

  • “analyze”
  • “review”
  • “examine”
  • “/analyzing-text-with-nlp”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Bash(cmd:*), Grep, Glob

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Request Analysis: Claude receives a user request to analyze text.
  2. Text Processing: The nlp-text-analyzer plugin processes the text using NLP techniques.
  3. Insight Extraction: The plugin extracts insights such as sentiment, keywords, and topics.

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:

    • Read
    • Bash(cmd:*)
    • Grep
    • Glob

    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 With NLP loads about 819 tokens when it runs, and up to ~834 if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 360 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~819
With references · SKILL.md plus every file in references/, read only if the agent opens them
~834

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). 360 words, ~819 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-text-with-nlp/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
analyzing-text-with-nlp
description
Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. it should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or ... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
allowed-tools
Read, Bash(cmd:*), Grep, Glob
compatibility
Designed for Claude Code
version
1.22.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
ai, analyzing-text

Nlp Text Analyzer

Analyze text using NLP techniques including sentiment analysis, keyword extraction, named entity recognition, and topic modeling.

Overview

This skill empowers Claude to analyze text using the nlp-text-analyzer plugin, extracting meaningful information and insights. It facilitates tasks such as sentiment analysis, keyword extraction, and topic modeling, enabling a deeper understanding of textual data.

How It Works

  1. Request Analysis: Claude receives a user request to analyze text.
  2. Text Processing: The nlp-text-analyzer plugin processes the text using NLP techniques.
  3. Insight Extraction: The plugin extracts insights such as sentiment, keywords, and topics.

When to Use This Skill

This skill activates when you need to:

  • Perform sentiment analysis on a piece of text.
  • Extract keywords from a document.
  • Identify the main topics discussed in a text.

Examples

Example 1: Sentiment Analysis

User request: "Analyze the sentiment of this product review: 'I loved the product! It exceeded my expectations.'"

The skill will:

  1. Process the review text using the nlp-text-analyzer plugin.
  2. Determine the sentiment as positive and provide a confidence score.
Example 2: Keyword Extraction

User request: "Extract the keywords from this news article about the latest AI advancements."

The skill will:

  1. Process the article text using the nlp-text-analyzer plugin.
  2. Identify and return a list of relevant keywords, such as "AI", "advancements", "machine learning", and "neural networks".
Show full SKILL.md (140 more words)Show less

Best Practices

  • Clarity: Be specific in your requests to ensure accurate and relevant analysis.
  • Context: Provide sufficient context to improve the quality of the analysis.
  • Iteration: Refine your requests based on the initial results to achieve the desired outcome.

Integration

This skill can be integrated with other tools to provide a comprehensive workflow, such as using the extracted keywords to perform further research or using sentiment analysis to categorize customer feedback.

Prerequisites

  • Appropriate file access permissions
  • Required dependencies installed

Instructions

  1. Invoke this skill when the trigger conditions are met
  2. Provide necessary context and parameters
  3. Review the generated output
  4. 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 7 other files (scripts, references, assets) in skills/.curated/analyzing-text-with-nlp of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • assets/analysis_report_template.md
  • assets/error_handling_examples.md
  • assets/example_text_inputs.json
  • references/README.md
  • scripts/README.md
  • scripts/analyze_text.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

Analyzing Text With NLP 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.

Analyzing Text With NLP compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing Text With NLP this skilljeremylongshore/tons-of-skills-marketplace2.8k—~819Automated safety check: PassMIT
Sentiment AnalysisDrchronx/ai-agent-research-starter-kit139—~516Automated safety check: PassCustom licence
Crisis Detection Intervention AIcuriositech/some_claude_skills2442 repos~3.8kAutomated safety check: PassMIT
Content Analysisliangdabiao/claude-data-analysis-ultra-main290—~1.7kAutomated safety check: NotesNone
Azure AI Textanalytics Pymicrosoft/skills3.1k5 repos~2.4kAutomated safety check: PassMIT
Natural Languagedpearson2699/swift-ios-skills1.2k—~3.5kAutomated safety check: PassCustom licence

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Categories

Questions about Analyzing Text With NLP

What does Analyzing Text With NLP do?

Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. Analyzing Text With NLP is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin.

When should I use Analyzing Text With NLP?

Analyzing Text With NLP fits situations like: requests analysis of text; including sentiment analysis; keyword extraction; with phrases like analyze.

How do I install Analyzing Text With NLP in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-with-nlp -a claude-code`. Or copy the skill folder (skills/.curated/analyzing-text-with-nlp in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/analyzing-text-with-nlp in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing Text With NLP in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-text-with-nlp -a codex`. Or copy the skill folder (skills/.curated/analyzing-text-with-nlp in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/analyzing-text-with-nlp in your project. Codex loads it when a task matches its description.

Can I use Analyzing Text With NLP 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-with-nlp -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-with-nlp, .gemini/skills/analyzing-text-with-nlp, .github/skills/analyzing-text-with-nlp and .opencode/skills/analyzing-text-with-nlp in your project.

What does Analyzing Text With NLP need to run?

Going by SKILL.md and its folder, Analyzing Text With NLP needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash(cmd:*), Grep, Glob. Compatibility (from SKILL.md): Designed for Claude Code.

Does Analyzing Text With NLP 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 With NLP 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 With NLP use?

Analyzing Text With NLP 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 With NLP use?

About 819 tokens (SKILL.md is roughly 3.3k 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 15 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing Text With NLP?

Skills that share tags, products or a category with Analyzing Text With NLP: Sentiment Analysis (Drchronx/ai-agent-research-starter-kit, 139 stars), Crisis Detection Intervention AI (curiositech/some_claude_skills, 244 stars), Content Analysis (liangdabiao/claude-data-analysis-ultra-main, 290 stars) and Azure AI Textanalytics Py (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Text With NLP?

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.