About
The content-refiner skill streamlines verbose educational content by removing redundancy and tightening prose to improve narrative flow. It is triggered when content is wordy, repetitive, or has disconnected lessons, often applying rules like one analogy per concept. Developers can use it to automatically enforce conciseness in lessons exceeding 1200 words or with excessive "Try With AI" prompts.
Quick Install
Claude Code
Recommendednpx skills add majiayu000/claude-skill-registry -a claude-code/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/content-refinerCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the content-refiner skill?
content-refiner is a Claude Skill by majiayu000. Skills package instructions and resources that Claude loads on demand, so Claude can perform content-refiner-related tasks without extra prompting.
How do I install content-refiner?
Use the install commands on this page: add content-refiner to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does content-refiner belong to?
content-refiner is in the Documents category, tagged word.
Is content-refiner free to use?
Yes. content-refiner is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
This skill provides semantic versioning (semver) guidelines and changelog formatting standards for software releases. Use it when preparing releases to correctly increment version numbers (major/minor/patch) and structure changelog entries. It includes rules for pre-release identifiers and clear examples for developers.
This skill formats Git commit messages according to the Conventional Commits standard. It provides templates and type definitions (like `feat`, `fix`, `refactor`) to ensure consistency when writing or reviewing commits. Use it during the commit process to create clear, structured commit history.
This skill provides high-performance tokenization using HuggingFace's Rust-based library, processing 1GB of text in under 20 seconds. It supports BPE, WordPiece, and Unigram algorithms while enabling custom tokenizer training and alignment tracking. Use it when you need production-fast tokenization or to build custom tokenizers integrated with the transformers ecosystem.
nano-pdf is a CLI tool that lets developers edit PDFs using natural-language instructions, like changing text or fixing typos on specific pages. It's ideal for quick, programmatic PDF modifications directly from the terminal. Always verify the output, as page numbering can vary between versions.