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Guide for authoring agent skills. Use when creating new skills, writing SKILL.md files, or improving existing skills.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name create-skill
description Guide for authoring agent skills. Use when creating new skills, writing SKILL.md files, or improving existing skills.

Creating Skills

SKILL.md Structure

---
name: my-skill-name        # lowercase, hyphens, max 64 chars
description: Does X and Y. Use when Z happens.  # max 1024 chars, third person
---

# Skill Title

[Instructions go here]

Core Principles

Be Concise

Agents are smart. Only add context the agent doesn't already have. Challenge each sentence: "Does this justify its token cost?"

Match Specificity to Risk

  • High freedom (general guidance): Multiple valid approaches, context-dependent
  • Low freedom (exact scripts): Fragile operations, specific sequences required

Write Effective Descriptions

  • Use third person ("Processes files" not "I process files")
  • Include what it does AND when to use it
  • Be specific with key terms for discovery

Progressive Disclosure

Keep SKILL.md under 500 lines. Link to separate files for advanced content:

## Quick start
[Essential instructions here]

## Advanced
- **Feature A**: See [FEATURE_A.md](FEATURE_A.md)
- **Reference**: See [reference.md](reference.md)

Keep references one level deep from SKILL.md.

Workflows

For complex tasks, provide checklists:

## Workflow

- [ ] Step 1: Analyze input
- [ ] Step 2: Validate results
- [ ] Step 3: Apply changes
- [ ] Step 4: Verify output

Include feedback loops: validate → fix errors → repeat.

Common Patterns

Templates: Provide output format examples Examples: Show input/output pairs Conditional workflows: Guide through decision points

Anti-Patterns

  • Verbose explanations of concepts agents already know
  • Time-sensitive information ("after August 2025...")
  • Inconsistent terminology
  • Deeply nested file references
  • Windows-style paths (\ instead of /)
  • Multiple equivalent options without a default

With Executable Scripts

Add scripts to skills when you need to abstract over complex operations. Use .NET file-based apps to write the scripts. Use the "dotnet-file-based-apps" skill to aide in creating scripts.

Scripts Directory Structure

my-skill/
├── SKILL.md
├── reference.md
└── scripts/
    ├── analyze.cs
    ├── validate.cs
    └── apply.cs

Document Scripts Clearly

## Utility Scripts

**analyze.cs**: Extract metadata from input file
```bash
dotnet scripts/analyze.cs input.pdf > metadata.json
```

**validate.cs**: Check for errors before proceeding
```bash
dotnet scripts/validate.cs metadata.json
# Returns "OK" or lists specific errors
```

Execute vs. Read

Be explicit about intent:

  • Execute: "Run dotnet scripts/validate.cs to check the output"
  • Read: "See scripts/validate.cs for the validation algorithm"

Execution is preferred—it's more reliable and doesn't consume context tokens.

Handle Errors in Scripts

// Good: Handle errors explicitly
string Process(string path)
{
    if (!File.Exists(path))
    {
        Console.WriteLine($"Creating {path} with defaults");
        File.WriteAllText(path, "");
        return "";
    }
    return File.ReadAllText(path);
}

// Bad: Let the agent figure it out
string Process(string path) => File.ReadAllText(path);

Document Constants

// Good: Self-documenting
const int RequestTimeout = 30;  // Most requests complete within 30s
const int MaxRetries = 3;       // Intermittent failures resolve by retry 2

// Bad: Magic numbers
const int Timeout = 47;
const int Retries = 5;

List Dependencies

## Setup

Add required packages as directives in your script:
```csharp
#:package CliWrap@3.6.6
#:package System.CommandLine@*
```

Checklist

  • Description is specific with key terms
  • Description says what AND when
  • SKILL.md under 500 lines
  • No time-sensitive information
  • Consistent terminology
  • File references one level deep
  • Tested with target models