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Agent skill

Keyword Extractor

by majiayu000 in majiayu000/claude-skill-registry

Extracts up to 50 highly relevant SEO keywords from text. An agent skill from majiayu000/claude-skill-registry.

MITAuto-check passed

Install Keyword Extractor

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill keyword-extractor -a claude-code

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

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry keyword-extractor --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/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-ml/keyword-extractor .claude/skills/keyword-extractor && 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
keyword-extractor
GitHub stars
666
Used in
3 other repos
Token cost
~1.1k tokens
SKILL.md length
309 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

Extracts up to 50 highly relevant SEO keywords from text. An agent skill from majiayu000/claude-skill-registry.

  • Works in 2 steps: Analyze → Generate Keywords
  • User wants to generate
  • SKILL.md covers QUICK START, When to Use, Step 1 — Analyze and Step 2 — Generate Keywords
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Keyword Extractor is an agent skill from majiayu000/claude-skill-registry. Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • User wants to generate
  • Extract keywords for given text

Example prompts

  • “Use the keyword-extractor skill to extract up to 50 highly relevant SEO keywords from text. An agent skill from majiayu000/claude-skill-registry”
  • “/keyword-extractor”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Analyze
  2. Generate Keywords

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. 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 machine).

    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

Keyword Extractor loads about 1.1k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 309 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 309 words, ~1,057 tokens.

Download SKILL.mdSave it as .claude/skills/keyword-extractor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
keyword-extractor
description
Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.
risk
safe
source
original
date_added
2026-03-11

Keyword Extractor

Extracts max 50 relevant keywords from text and formats them in a strict machine-ready structure.

QUICK START

Jump to any section:

  1. CORE MANDATE – Output rules and formatting
  2. WHEN TO USE – Trigger conditions for this skill
  3. KEYWORD QUALITY RULES – Priorities and forbidden keywords
  4. WORKFLOW – Step-by-step generation and processing
  5. FAILURE HANDLING – Short text or edge cases

CORE MANDATE

Return exactly one comma-separated line of keywords, following these rules:

  • max 50 keywords
  • ordered by relevance
  • all lowercase
  • no duplicates or near-duplicates
  • mix of single words and 2–4 word phrases
  • no numbering, bullets, explanations, or trailing period

When to Use

Use this skill when the user wants to generate or extract SEO-friendly keywords or tags from text including:

  • Extracting keywords or tags for any given text or paragraph
  • Creating comma-separated keywords or tags suitable for SEO, search, or metadata
  • Generating topic-specific keywords or tags based on the content’s main subjects and concepts

This skill should be triggered for all text-based keyword extraction requests, regardless of phrasing, as long as the goal is SEO, tagging, or metadata generation.

Do NOT trigger this skill for:

  • Summaries or paraphrasing requests
  • Text analysis without keyword generation

KEYWORD QUALITY RULES

Prefer noun phrases over verbs or adjectives. Prefer keywords useful for:

  • SEO and search
  • tagging
  • metadata

Prioritize:

  • domain terminology
  • meaningful nouns
  • search phrases
  • entities
  • technical concepts

Avoid weak keywords like:

  • things and various topics
  • general concepts
  • important ideas
  • methods

IMPORTANT: Each keyword must strictly represent a phrase that a user would type into a search engine

WORKFLOW

Step 1 — Analyze

Identify:

  • main subject
  • key topics
  • domain terminology
  • entities
  • concepts

Ignore filler words.

Step 2 — Generate Keywords

Generate up to 50 strictly SEO-friendly keywords directly from the text.

Include:

  • core topics
  • domain terminology
  • related concepts
  • common search queries

Allowed formats:

  • single words
  • 2 word phrases
  • 3 word phrases
  • 4 word phrases

Example: machine learning, neural networks, deep learning models, ai algorithms, data science tools

Avoid vague keywords, filler phrases, adjectives without nouns like: important methods, different ideas, various techniques, things

Keywords must not exceed 4 words.

Show full SKILL.md (190 more words)Show less

Step 3 — Rank

Order keywords by SEO importance using these signals:

  1. main topic of the text
  2. high-value domain terminology
  3. technologies, tools, or entities mentioned
  4. common search queries related to the topic
  5. supporting contextual topics

Most important keywords should always appear first.

Step 4 — Normalize

Ensure:

  • lowercase, comma separated, no duplicates
  • ≤50 keywords
  • Remove near-duplicate keywords that represent the same concept.
  • Keep only the most common search phrase.
  • If two keywords represent the same concept, keep only the more common search phrase.

Step 5 — Validate

Before returning output ensure:

  • keyword_count <= 50
  • no duplicates and near-duplicates
  • all lowercase and comma separated
  • no trailing period
  • each keyword is a clear searchable topic
  • keywords do not exceed 4 words

If any rule fails regenerate the list.

FAILURE HANDLING

If text is very short, infer likely topics and still generate keywords. Never exceed 50 keywords.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© majiayu000, 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 in skills/ai-ml/keyword-extractor of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 3 other repositories

We found 12 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Keyword Extractor 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.

Keyword Extractor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Keyword Extractor this skillmajiayu000/claude-skill-registry6663 repos~1.1kAutomated safety check: PassMIT
Extracting Keywordshashgraph-online/awesome-codex-plugins1.2k—~1.5kAutomated safety check: PassApache-2.0
Extractalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT
Brand Extractnexu-io/open-design100k—~3.1kAutomated safety check: PassApache-2.0
Design Extractnexu-io/open-design100k—~549Automated safety check: PassApache-2.0
Kg Extractruvnet/ruflo74k—~751Automated safety check: NotesMIT

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Questions about Keyword Extractor

What does Keyword Extractor do?

Extracts up to 50 highly relevant SEO keywords from text. An agent skill from majiayu000/claude-skill-registry. Keyword Extractor is an agent skill from majiayu000/claude-skill-registry. Extracts up to 50 highly relevant SEO keywords from text.

When should I use Keyword Extractor?

Keyword Extractor fits situations like: user wants to generate; extract keywords for given text.

How do I install Keyword Extractor in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill keyword-extractor -a claude-code`. Or copy the skill folder (skills/ai-ml/keyword-extractor in majiayu000/claude-skill-registry) into .claude/skills/keyword-extractor in your project. Claude Code loads it when a task matches its description.

How do I install Keyword Extractor in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill keyword-extractor -a codex`. Or copy the skill folder (skills/ai-ml/keyword-extractor in majiayu000/claude-skill-registry) into .agents/skills/keyword-extractor in your project. Codex loads it when a task matches its description.

Can I use Keyword Extractor 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 majiayu000/claude-skill-registry --skill keyword-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keyword-extractor, .gemini/skills/keyword-extractor, .github/skills/keyword-extractor and .opencode/skills/keyword-extractor in your project.

What does Keyword Extractor need to run?

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

Does Keyword Extractor 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 Keyword Extractor 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 Keyword Extractor use?

Keyword Extractor 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 Keyword Extractor use?

About 1.1k tokens (SKILL.md is roughly 4.2k 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 Keyword Extractor?

Skills that share tags, products or a category with Keyword Extractor: Extracting Keywords (hashgraph-online/awesome-codex-plugins, 1.2k stars), Extract (alirezarezvani/claude-skills, 28k stars), Brand Extract (nexu-io/open-design, 100k stars) and Design Extract (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keyword Extractor?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.