Official agent skill

Update LLMs

by github in github/awesome-copilot

Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/

OfficialMITAuto-check passedMarketing & SEO

Install Update LLMs

skills CLI
$ npx skills add github/awesome-copilot --skill update-llms -a claude-code

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

GitHub CLI
$ gh skill install github/awesome-copilot update-llms --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/update-llms .claude/skills/update-llms && 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
update-llms
GitHub stars
40k
Used in
2 other repos
Token cost
~2.1k tokens
SKILL.md length
930 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/

  • Works in 8 steps: Review Current File and Specification → Repository Structure Analysis → Content Discovery and Change Detection → …
  • Tasks that involve AI search optimization
  • SKILL.md covers Primary Directive, Analysis and Planning Phase, Implementation Requirements and Execution Steps, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Update LLMs is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering AI search optimization. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve AI search optimization

Example prompts

  • “/update-llms”

Workflow steps

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

  1. Review Current File and Specification
  2. Repository Structure Analysis
  3. Content Discovery and Change Detection
  4. Create Update Plan
  5. Current State Analysis
  6. Content Planning
  7. File Updates
  8. Validation

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. 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.

    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):

    • llmstxt.org

    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

Update LLMs loads about 2.1k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 930 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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 github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 930 words, ~2,098 tokens.

Download SKILL.mdSave it as .claude/skills/update-llms/SKILL.md (or your agent's skills folder).
name
update-llms
description
Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/

Update LLMs.txt File

Update the existing llms.txt file in the root of the repository to reflect changes in documentation, specifications, or repository structure. This file provides high-level guidance to large language models (LLMs) on where to find relevant content for understanding the repository's purpose and specifications.

Primary Directive

Update the existing llms.txt file to maintain accuracy and compliance with the llms.txt specification while reflecting current repository structure and content. The file must remain optimized for LLM consumption while staying human-readable.

Analysis and Planning Phase

Before updating the llms.txt file, you must complete a thorough analysis:

Step 1: Review Current File and Specification
  • Read the existing llms.txt file to understand current structure
  • Review the official specification at https://llmstxt.org/ to ensure continued compliance
  • Identify areas that may need updates based on repository changes
Step 2: Repository Structure Analysis
  • Examine the current repository structure using appropriate tools
  • Compare current structure with what's documented in existing llms.txt
  • Identify new directories, files, or documentation that should be included
  • Note any removed or relocated files that need to be updated
Step 3: Content Discovery and Change Detection
  • Identify new README files and their locations
  • Find new documentation files (.md files in /docs/, /spec/, etc.)
  • Locate new specification files and their purposes
  • Discover new configuration files and their relevance
  • Find new example files and code samples
  • Identify any changes to existing documentation structure
Step 4: Create Update Plan

Based on your analysis, create a structured plan that includes:

  • Changes needed to maintain accuracy
  • New files to be added to the llms.txt
  • Outdated references to be removed or updated
  • Organizational improvements to maintain clarity

Implementation Requirements

Format Compliance

The updated llms.txt file must maintain this exact structure per the specification:

  1. H1 Header: Single line with repository/project name (required)
  2. Blockquote Summary: Brief description in blockquote format (optional but recommended)
  3. Additional Details: Zero or more markdown sections without headings for context
  4. File List Sections: Zero or more H2 sections containing markdown lists of links
Content Requirements
Required Elements
  • Project Name: Clear, descriptive title as H1
  • Summary: Concise blockquote explaining the repository's purpose
  • Key Files: Essential files organized by category (H2 sections)

Each file link must follow: [descriptive-name](relative-url): optional description

Section Organization

Organize files into logical H2 sections such as:

  • Documentation: Core documentation files
  • Specifications: Technical specifications and requirements
  • Examples: Sample code and usage examples
  • Configuration: Setup and configuration files
  • Optional: Secondary files (special meaning - can be skipped for shorter context)
Content Guidelines
Language and Style
  • Use concise, clear, unambiguous language
  • Avoid jargon without explanation
  • Write for both human and LLM readers
  • Be specific and informative in descriptions
File Selection Criteria

Include files that:

  • Explain the repository's purpose and scope
  • Provide essential technical documentation
  • Show usage examples and patterns
  • Define interfaces and specifications
  • Contain configuration and setup instructions

Exclude files that:

  • Are purely implementation details
  • Contain redundant information
  • Are build artifacts or generated content
  • Are not relevant to understanding the project

Execution Steps

Step 1: Current State Analysis
  1. Read the existing llms.txt file thoroughly
  2. Examine the current repository structure completely
  3. Compare existing file references with actual repository content
  4. Identify outdated, missing, or incorrect references
  5. Note any structural issues with the current file
Step 2: Content Planning
  1. Determine if the primary purpose statement needs updates
  2. Review and update the summary blockquote if needed
  3. Plan additions for new files and directories
  4. Plan removals for outdated or moved content
  5. Reorganize sections if needed for better clarity
Show full SKILL.md (351 more words)Show less
Step 3: File Updates
  1. Update the existing llms.txt file in the repository root
  2. Maintain compliance with the exact format specification
  3. Add new file references with appropriate descriptions
  4. Remove or update outdated references
  5. Ensure all links are valid relative paths
Step 4: Validation
  1. Verify continued compliance with https://llmstxt.org/ specification
  2. Check that all links are valid and accessible
  3. Ensure the file still serves as an effective LLM navigation tool
  4. Confirm the file remains both human and machine readable

Quality Assurance

Format Validation
  • ✅ H1 header with project name
  • ✅ Blockquote summary (if included)
  • ✅ H2 sections for file lists
  • ✅ Proper markdown link format
  • ✅ No broken or invalid links
  • ✅ Consistent formatting throughout
Content Validation
  • ✅ Clear, unambiguous language
  • ✅ Comprehensive coverage of essential files
  • ✅ Logical organization of content
  • ✅ Appropriate file descriptions
  • ✅ Serves as effective LLM navigation tool
Specification Compliance
  • ✅ Follows https://llmstxt.org/ format exactly
  • ✅ Uses required markdown structure
  • ✅ Implements optional sections appropriately
  • ✅ File located at repository root (/llms.txt)

Update Strategy

Addition Process

When adding new content:

  1. Identify the appropriate section for new files
  2. Create clear, descriptive names for links
  3. Write concise but informative descriptions
  4. Maintain alphabetical or logical ordering within sections
  5. Consider if new sections are needed for new content types
Removal Process

When removing outdated content:

  1. Verify files are actually removed or relocated
  2. Check if relocated files should be updated rather than removed
  3. Remove entire sections if they become empty
  4. Update cross-references if needed
Reorganization Process

When restructuring content:

  1. Maintain logical flow from general to specific
  2. Keep essential documentation in primary sections
  3. Move secondary content to "Optional" section if appropriate
  4. Ensure new organization improves LLM navigation

Example structure for llms.txt:

txt
# [Repository Name]

> [Concise description of the repository's purpose and scope]

[Optional additional context paragraphs without headings]

## Documentation

- [Main README](README.md): Primary project documentation and getting started guide
- [Contributing Guide](CONTRIBUTING.md): Guidelines for contributing to the project
- [Code of Conduct](CODE_OF_CONDUCT.md): Community guidelines and expectations

## Specifications

- [Technical Specification](spec/technical-spec.md): Detailed technical requirements and constraints
- [API Specification](spec/api-spec.md): Interface definitions and data contracts

## Examples

- [Basic Example](examples/basic-usage.md): Simple usage demonstration
- [Advanced Example](examples/advanced-usage.md): Complex implementation patterns

## Configuration

- [Setup Guide](docs/setup.md): Installation and configuration instructions
- [Deployment Guide](docs/deployment.md): Production deployment guidelines

## Optional

- [Architecture Documentation](docs/architecture.md): Detailed system architecture
- [Design Decisions](docs/decisions.md): Historical design decision records

Success Criteria

The updated llms.txt file should:

  1. Accurately reflect the current repository structure and content
  2. Maintain compliance with the llms.txt specification
  3. Provide clear navigation to essential documentation
  4. Remove outdated or incorrect references
  5. Include new important files and documentation
  6. Maintain logical organization for easy LLM consumption
  7. Use clear, unambiguous language throughout
  8. Continue to serve both human and machine readers effectively

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/update-llms of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Update LLMs 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.

Update LLMs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Update LLMs this skillgithub/awesome-copilot40k2 repos~2.1kAutomated safety check: PassMIT
Geo Fundamentalswasp-lang/wasp19k8 repos~861Automated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT
GEO Monthly Delta Reportzubair-trabzada/geo-seo-claude11k—~2.4kAutomated safety check: NotesMIT
SEO DataforseoAgriciDaniel/codex-seo7872 repos~4.6kAutomated safety check: PassMIT

Similar skills

  • Geo Fundamentals

    wasp-lang/wasp

    Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

    19k GitHub starsUsed in 8 repos~861 tokens
    Marketing & SEOAuto-check passed
  • SEO Geo

    ReScienceLab/opc-skills

    SEO & GEO (Generative Engine Optimization) for websites. An agent skill from ReScienceLab/opc-skills.

    1.8k GitHub starsUsed in 4 repos~2.1k tokens
    Marketing & SEOAuto-check passed
  • GEO-First SEO Audit Tool

    zubair-trabzada/geo-seo-claude

    Audits a website for AI search visibility across ChatGPT, Claude, Perplexity and Google AI Overviews while checking traditional SEO, schema and E-E-A-T content quality.

    11k GitHub stars~2.8k tokensUpdated yesterday
    Marketing & SEOAuto-check: notes
  • GEO Monthly Delta Report

    zubair-trabzada/geo-seo-claude

    Compares a baseline and a current GEO audit for a client, calculates score changes and action item progress, and writes a monthly progress report.

    11k GitHub stars~2.4k tokensUpdated yesterday
    Marketing & SEOAuto-check: notes
  • SEO Dataforseo

    AgriciDaniel/codex-seo

    Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.

    787 GitHub starsUsed in 2 repos~4.6k tokens
    Marketing & SEOAuto-check passed
  • Fire Your SEO Agency

    leopard627/fire-your-seo-agency

    SEO·AEO·GEO·LLMO·NEO(네이버) 다섯 레인을 진단하고 직접 구현하며, 인용되는 콘텐츠를 계속 생산하는 서브 블로그·콘텐츠 운영 파이프라인까지 세팅하는 스킬.

    706 GitHub stars~1.1k tokensUpdated 12 days ago
    Marketing & SEOAuto-check passed

More from github/awesome-copilot

All 417 skills in this repo
  • Acquire Codebase Knowledge

    github/awesome-copilot

    Official

    Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.

    40k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Azure Architecture Autopilot

    github/awesome-copilot

    Official

    Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.

    40k GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed
  • Draw.io Diagram Generator

    github/awesome-copilot

    Official

    Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.

    40k GitHub starsUsed in 1 repo~4.9k tokens
    Auto-check passed
  • Credit Risk Data Cleaning

    github/awesome-copilot

    Official

    Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.

    40k GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed
  • Daily Focus Board

    github/awesome-copilot

    Official

    Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.

    40k GitHub stars~3k tokensUpdated today
    Auto-check passed
  • Python Pypi Package Builder

    github/awesome-copilot

    Official

    End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.

    40k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Categories

Questions about Update LLMs

What does Update LLMs do?

Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/. Update LLMs is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.

When should I use Update LLMs?

Update LLMs fits situations like: tasks that involve AI search optimization.

How do I install Update LLMs in Claude Code?

Run `npx skills add github/awesome-copilot --skill update-llms -a claude-code`. Or copy the skill folder (skills/update-llms in github/awesome-copilot) into .claude/skills/update-llms in your project. Claude Code loads it when a task matches its description.

How do I install Update LLMs in Codex?

Run `npx skills add github/awesome-copilot --skill update-llms -a codex`. Or copy the skill folder (skills/update-llms in github/awesome-copilot) into .agents/skills/update-llms in your project. Codex loads it when a task matches its description.

Can I use Update LLMs 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 github/awesome-copilot --skill update-llms -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/update-llms, .gemini/skills/update-llms, .github/skills/update-llms and .opencode/skills/update-llms in your project.

What does Update LLMs need to run?

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

Does Update LLMs access the network?

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

Is Update LLMs 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 Update LLMs use?

Update LLMs 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 Update LLMs use?

About 2.1k tokens (SKILL.md is roughly 8.4k 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 Update LLMs?

Skills that share tags, products or a category with Update LLMs: Geo Fundamentals (wasp-lang/wasp, 19k stars), SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars) and GEO Monthly Delta Report (zubair-trabzada/geo-seo-claude, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Update LLMs?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.