Agent skill

Natural Language

by dpearson2699 in dpearson2699/swift-ios-skills

Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework.

Custom licenceAuto-check passedAI & LLM Engineering

Install Natural Language

skills CLI
$ npx skills add dpearson2699/swift-ios-skills --skill natural-language -a claude-code

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

GitHub CLI
$ gh skill install dpearson2699/swift-ios-skills natural-language --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/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/natural-language .claude/skills/natural-language && 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
natural-language
GitHub stars
1.2k
Token cost
~3.5k tokens
SKILL.md length
589 words
Files
3 (incl. references)
Skills in repo
86
Repo updated
First seen
Licence
Custom licence

At a glance

Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework.

  • Adding language identification
  • SKILL.md covers Contents, Setup, Tokenization and Language Identification, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Sentiment analysis

What it does

Natural Language is an agent skill from dpearson2699/swift-ios-skills. Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework. Use when adding language identification, sentiment analysis, named entity recognition, part-of-speech tagging, text embeddings, or in-app translation to iOS/macOS/visionOS apps.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/evals.json` and `references/translation-patterns.md`).

It sits in AI & LLM Engineering, covering Translation, Natural language processing and Embeddings. It works with iOS and macOS. The repository describes itself as: Agent Skills for iOS 26+, Swift 6.3, SwiftUI, and modern Apple frameworks.

When your agent uses it

  • Adding language identification
  • Sentiment analysis
  • Named entity recognition
  • Part-of-speech tagging

Example prompts

  • “/natural-language”

What it can do on your machine

Read from SKILL.md and the folder at commit 8d90fd1. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are swift).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • sosumi.ai

    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

Natural Language loads about 3.5k tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 589 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 589 words (~3,538 tokens).

“Analyze natural language text for tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, language identification, and word/sentence embeddings. Translate text between languages with the Translation framework.”

— opening of SKILL.md by dpearson2699, Custom licence
name
natural-language

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/natural-language of dpearson2699/swift-ios-skills.

  • SKILL.md
  • evals/evals.json
  • references/translation-patterns.md

Open the folder on GitHubat commit 8d90fd1

Compare with similar skills

Natural Language 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.

Natural Language compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Natural Language this skilldpearson2699/swift-ios-skills1.2k—~3.5kAutomated safety check: PassCustom licence
Flutter Embedding Native Viewsbtwld/superdeck130—~2.1kAutomated safety check: PassBSD-3-Clause
Text Processorrevfactory/harness-1001.3k—~1.9kAutomated safety check: PassApache-2.0
Publish App Store VersionKeeForge/KeeForge114—~3.5kAutomated safety check: PassGPL-3.0
Test Opencode Toolingscouzi1966/maclocal-api346—~4.2kAutomated safety check: PassMIT
Testflightkmworks/kmreader111—~403Automated safety check: PassMIT

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Works with

Questions about Natural Language

What does Natural Language do?

Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework. Natural Language is an agent skill from dpearson2699/swift-ios-skills. Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework.

When should I use Natural Language?

Natural Language fits situations like: adding language identification; sentiment analysis; named entity recognition; part-of-speech tagging.

How do I install Natural Language in Claude Code?

Run `npx skills add dpearson2699/swift-ios-skills --skill natural-language -a claude-code`. Or copy the skill folder (skills/natural-language in dpearson2699/swift-ios-skills) into .claude/skills/natural-language in your project. Claude Code loads it when a task matches its description.

How do I install Natural Language in Codex?

Run `npx skills add dpearson2699/swift-ios-skills --skill natural-language -a codex`. Or copy the skill folder (skills/natural-language in dpearson2699/swift-ios-skills) into .agents/skills/natural-language in your project. Codex loads it when a task matches its description.

Can I use Natural Language 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 dpearson2699/swift-ios-skills --skill natural-language -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/natural-language, .gemini/skills/natural-language, .github/skills/natural-language and .opencode/skills/natural-language in your project.

What does Natural Language need to run?

SKILL.md names no scripts, command-line tools or credentials: Natural Language is instructions for the agent only.

Does Natural Language access the network?

SKILL.md names 1 domain. As links in the text: sosumi.ai. This is read from the text; nothing was executed.

Is Natural Language 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. Review the folder before installing.

What licence does Natural Language use?

Natural Language has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Natural Language use?

About 3.5k tokens (SKILL.md is roughly 14k 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 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Natural Language?

Skills that share tags, products or a category with Natural Language: Flutter Embedding Native Views (btwld/superdeck, 130 stars), Text Processor (revfactory/harness-100, 1.3k stars), Publish App Store Version (KeeForge/KeeForge, 114 stars) and Test Opencode Tooling (scouzi1966/maclocal-api, 346 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Natural Language?

dpearson2699 (a GitHub user) maintains it in dpearson2699/swift-ios-skills, which has 1,182 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on July 31, 2026.

Source: dpearson2699/swift-ios-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.