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Creating Effective Skills

skill-taisukeoe-agentic-ai-skills-creator-creating-effective-skills · by taisukeoe

Creating high-quality agent skills following Claude's official best practices. Use when designing, implementing, or improving agent skills, including naming conventions, progressive disclosure patterns, description writing, and appropriate freedom levels. Helps ensure skills are concise, well-structured, and optimized for context efficiency.

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$ agentstack add skill-taisukeoe-agentic-ai-skills-creator-creating-effective-skills

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About

Creating Effective Skills

Guide for creating agent skills that follow Claude's official best practices.

Core Principles

Concise is Key: The context window is shared. Only add what Claude doesn't already know. Default assumption: Claude is already very smart.

Progressive Disclosure: Skills load in three levels:

  1. Metadata (~100 tokens) - always loaded
  2. SKILL.md body (100 lines, include table of contents at top.

Organize by domain when appropriate:

skill/
├── SKILL.md
└── references/
    ├── domain_a.md
    └── domain_b.md

Avoid: deeply nested references, duplicate information, generic file names.

Step 8: Create Test Scenarios (Optional)

Ask the user: "Would you like to create test scenarios for this skill? Test scenarios enable automated evaluation with /evaluating-skills-with-models to measure skill quality across different models (sonnet, opus, haiku)."

If the user agrees, create tests/scenarios.md for self-evaluation:

## Scenario: [Name]

**Difficulty:** Easy | Medium | Hard | Edge-case

**Query:** User request that triggers this skill

**Expected behaviors:**

1. [Action description]
   - **Minimum:** What counts as "did it"
   - **Quality criteria:** What "did it well" looks like
   - **Haiku pitfall:** Common failure mode for smaller models
   - **Weight:** 1-5 (importance)

**Output validation:** (optional)
- Pattern: `regex`
- Line count: `< N`

Why this format: Binary pass/fail doesn't differentiate models. Quality-based scoring reveals capability differences.

Step 9: Define allowed-tools

After completing SKILL.md and references, identify which tools the skill uses:

  1. Review SKILL.md and reference files for tool usage
  2. List tools that need pre-approval (e.g., Bash(git status:*), WebSearch, Skill(other-skill))
  3. Add allowed-tools field to frontmatter if needed
---
name: skill-name
description: ...
allowed-tools: "Bash(git status:*) Bash(git diff:*) WebSearch"
---

This field is experimental but helps agents pre-approve tool access.

Important considerations:

  • Read, Glob are already allowed by default - do not include
  • Edit, Write are destructive - do not pre-approve
  • Be as specific as possible with Bash subcommands
  • Good: Bash(git status:*) Bash(git diff:*) Bash(git log:*)
  • Avoid: Bash(git:*) (too broad, includes destructive operations like git push --force)

Anti-Patterns

❌ Windows-style paths (scripts\file.py) ❌ Too many options without a default ❌ Time-sensitive information ❌ Inconsistent terminology ❌ Deeply nested references ❌ Vague instructions

References

Progressive Disclosure: [references/progressive-disclosure.md](references/progressive-disclosure.md) - Detailed patterns and examples

Degrees of Freedom: [references/degrees-of-freedom.md](references/degrees-of-freedom.md) - Guidance on appropriate freedom levels

Workflows and Validation: [references/workflows-and-validation.md](references/workflows-and-validation.md) - Creating workflows with validation and feedback loops

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.