AI SummaryGuides developers in creating well-structured, efficient Claude skills with proper naming conventions, progressive disclosure, and model-specific testing. Ideal for skill authors and teams building Claude integrations.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to install the "authoring-skills" skill in my project. Please run this command in my terminal: # Install skill into the correct directory mkdir -p .claude/skills/claude-skill-authoring-skill && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/claude-skill-authoring-skill/SKILL.md "https://raw.githubusercontent.com/andrueandersoncs/claude-skill-authoring-skill/main/SKILL.md" Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.
Description
Guides creation of effective Claude skills with proper structure, naming, and progressive disclosure. Use when creating new skills, improving existing SKILL.md files, reviewing skill quality, or when the user mentions writing skills, skill authoring, or SKILL.md.
Frontmatter requirements
`yaml --- name: processing-pdfs description: Extracts text and tables from PDF files. Use when working with PDFs or document extraction. --- ` name (required): • Max 64 characters • Lowercase letters, numbers, hyphens only • No reserved words: "anthropic", "claude" description (required): • Max 1024 characters • Third person ("Processes files" not "I can process files") • Include BOTH what it does AND when to use it • Include key trigger terms for discovery
Examples pattern
For quality-dependent output, provide input/output pairs: `markdown Example 1: Input: Added user authentication with JWT tokens Output: feat(auth): implement JWT-based authentication `
Skill Authoring
Create skills that Claude can discover and use effectively.
Conciseness is critical
The context window is shared. Only add what Claude doesn't already know. Challenge each piece of content: • "Does Claude really need this explanation?" • "Can I assume Claude knows this?" • "Does this justify its token cost?" Good (~50 tokens): `markdown
Discussion
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