ITU-T Recommendation Reviewer

ITU-T Recommendation Reviewer is a Quality skill for Claude Code, published by TheTaoism in itu-t-recommendation-reviewer.

14 stars2 forkson TheTaoism/itu-t-recommendation-reviewerAdded 2026/07/18+133% in starsRepository updated 2026/07/14

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agent-skillsitu-tllmstandardization

Install in seconds

Install ITU-T Recommendation Reviewer

Copy ITU-T Recommendation Reviewer into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/TheTaoism/itu-t-recommendation-reviewer ~/.claude/skills/itu-t-recommendation-reviewer

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/TheTaoism/itu-t-recommendation-reviewer.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: SKILL.md in TheTaoism/itu-t-recommendation-reviewer
Installs to: ~/.claude/skills/itu-t-recommendation-reviewer
Collection: The only skill cataloged from this repository
Category: Quality — 1897 skills

What ITU-T Recommendation Reviewer does

Reviews draft ITU-T Recommendations and ITU-T | ISO/IEC common texts for compliance with official drafting rules, identifying issues before submission. Use for pre-submission audits, structural checks, and formatting verification.

ITU-T Recommendation Reviewer is cataloged under Quality on DirSkills. ITU-T Recommendation Reviewer comes from a repository tagged agent-skills, itu-t, llm and standardization.

Documentation

README

Excerpt

ITU-T Recommendation Reviewer

A model-agnostic AI agent skill that reviews draft ITU-T Recommendations (including ITU-T | ISO/IEC common texts, amendments, and corrigenda) for compliance with the official ITU-T drafting rules — before the text goes to TSB or is proposed for consent, determination, or approval.

The skill is written entirely in plain Markdown, so any large language model or AI agent can use it — load the files into the model's context, or install them in any agent framework that supports the open Agent Skills format (SKILL.md + reference files).

It encodes the drafting and presentation rules from three authoritative sources:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about ITU-T Recommendation Reviewer

How does ITU-T Recommendation Reviewer compare to other Quality skills?
ITU-T Recommendation Reviewer ranks #1889 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of ITU-T Recommendation Reviewer against them. Open each page to compare what they document and how they install.