neolabhq/context-engineering-kit1 file

Apply Anthropic Skill Best Practices

Name: Apply Anthropic Skill Best Practices
Availability: InStock
Author: neolabhq

Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

Use this skill View repository View on skills.sh

Specification

Skill ID: neolabhq/context-engineering-kit/apply-anthropic-skill-best-practices
Publisher: neolabhq
Repository: context-engineering-kit
Installs: 0
Files: 1
Synced: Sep 23, 2026

How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

neolabhq/context-engineering-kit/apply-anthropic-skill-best-practicesInstalls these files

SKILL.md

What this skill tells the agent

Anthropic's official skill authoring best practices

Apply Anthropic's official skill authoring best practices to your skill.

Good Skills are concise, well-structured, and tested with real usage. This guide provides practical authoring decisions to help you write Skills that Claude can discover and use effectively.

Core principles

Skill Metadata

Not every token in your Skill has an immediate cost. At startup, only the metadata (name and description) from all Skills is pre-loaded. Claude reads SKILL.md only when the Skill becomes relevant, and reads additional files only as needed. However, being concise in SKILL.md still matters: once Claude loads it, every token competes with conversation history and other context.

Test with all models you plan to use

Skills act as additions to models, so effectiveness depends on the underlying model. Test your Skill with all the models you plan to use it with.

Testing considerations by model:

Claude Haiku (fast, economical): Does the Skill provide enough guidance?
Claude Sonnet (balanced): Is the Skill clear and efficient?
Claude Opus (powerful reasoning): Does the Skill avoid over-explaining?

What works perfectly for Opus might need more detail for Haiku. If you plan to use your Skill across multiple models, aim for instructions that work well with all of them.

Skill structure

<Note> YAML Frontmatter: The SKILL.md frontmatter supports two fields:

name - Human-readable name of the Skill (64 characters maximum)
description - One-line description of what the Skill does and when to use it (1024 characters maximum)

For complete Skill structure details, see the Skills overview. </Note>

Naming conventions

Use consistent naming patterns to make Skills easier to reference and discuss. We recommend using gerund form (verb + -ing) for Skill names, as this clearly describes the activity or capability the Skill provides.

Good naming examples (gerund form):

"Processing PDFs"
"Analyzing spreadsheets"
"Managing databases"
"Testing code"
"Writing documentation"

Acceptable alternatives:

Noun phrases: "PDF Processing", "Spreadsheet Analysis"
Action-oriented: "Process PDFs", "Analyze Spreadsheets"

Avoid:

Vague names: "Helper", "Utils", "Tools"
Overly generic: "Documents", "Data", "Files"
Inconsistent patterns within your skill collection

Consistent naming makes it easier to:

Reference Skills in documentation and conversations
Understand what a Skill does at a glance
Organize and search through multiple Skills
Maintain a professional, cohesive skill library

Writing effective descriptions

The description field enables Skill discovery and should include both what the Skill does and when to use it.

<Warning> Always write in third person. The description is injected into the system prompt, and inconsistent point-of-view can cause discovery problems.

Good: "Processes Excel files and generates reports"
Avoid: "I can help you process Excel files"
Avoid: "You can use this to process Excel files"

</Warning>

Be specific and include key terms. Include both what the Skill does and specific triggers/contexts for when to use it.

Each Skill has exactly one description field. The description is critical for skill selection: Claude uses it to choose the right Skill from potentially 100+ available Skills. Your description must provide enough detail for Claude to know when to select this Skill, while the rest of SKILL.md provides the implementation details.

Effective examples:

PDF Processing skill:

description: Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.

Excel Analysis skill:

description: Analyze Excel spreadsheets, create pivot tables, generate charts. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.

Git Commit Helper skill:

description: Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.

Avoid vague descriptions like these:

description: Helps with documents

description: Processes data

description: Does stuff with files

Progressive disclosure patterns

SKILL.md serves as an overview that points Claude to detailed materials as needed, like a table of contents in an onboarding guide. For an explanation of how progressive disclosure works, see How Skills work in the overview.

Practical guidance:

Keep SKILL.md body under 500 lines for optimal performance
Split content into separate files when approaching this limit
Use the patterns below to organize instructions, code, and resources effectively

Visual overview: From simple to complex

A basic Skill starts with just a SKILL.md file containing metadata and instructions:

As your Skill grows, you can bundle additional content that Claude loads only when needed:

Use this skill in a project

Open any RiverX project, search the Skills panel for neolabhq/context-engineering-kit/apply-anthropic-skill-best-practices, and install it in one click.

Use this skill