skill-builder

rysweet/amplihack · updated Apr 8, 2026

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$npx skills add https://github.com/rysweet/amplihack --skill skill-builder
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summary

Creates production-ready Agent Skills following the official specifications

  • and best practices.
skill.md

Skill Builder

Purpose

Creates production-ready Agent Skills following the official specifications and best practices.

When I Activate

I automatically load when you mention:

  • "build a skill" or "create a skill"
  • "generate a skill" or "make a skill"
  • "design a skill" or "new skill"

Authoritative References (Read These First)

Before creating any skill, read the current versions of these docs:

  1. Agent Skills Specification (the open standard): https://agentskills.io/specification
  2. Skill Authoring Best Practices (Anthropic): https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices
  3. Claude Code Skills Documentation (Claude Code extensions): https://docs.claude.com/en/docs/claude-code/skills
  4. Example Skills (reference implementations): https://github.com/anthropics/skills

These are the source of truth. If anything in this skill contradicts those docs, the official docs win.

What I Do

Create skills in 5 steps:

  1. Clarify → Define purpose, scope, activation keywords
  2. Design → Plan structure, decide on progressive disclosure
  3. Generate → Create SKILL.md with proper frontmatter and body
  4. Validate → Check against spec and best practices
  5. Test → Verify activation and behavior

Frontmatter (Agent Skills Spec)

Only two fields are required:

---
name: my-skill
description: What this skill does and when to use it. Include specific keywords for discovery.
---

Optional fields: license, compatibility, metadata, allowed-tools.

Claude Code adds: disable-model-invocation, user-invocable, model, context, agent, hooks, argument-hint.

Do NOT use: version (use metadata.version), auto_activates, priority_score, source_urls, evaluation_criteria, invokes, philosophy, maturity — none of these are recognized by any runtime.

Key Best Practices

From the official best practices:

Conciseness

  • Claude is already smart. Only add context it doesn't have.
  • Challenge every paragraph: "Does this justify its token cost?"
  • SKILL.md body under 500 lines.

Description Quality

  • Write in third person ("Processes Excel files", not "I help you")
  • Include both what the skill does AND when to use it
  • Include specific trigger keywords for discovery
  • Max 1024 characters

Progressive Disclosure

  • Metadata loaded at startup (name + description only)
  • SKILL.md loaded when skill activates
  • Supporting files loaded only when needed
  • Keep references one level deep from SKILL.md

Degrees of Freedom

  • High freedom: Multiple valid approaches, context-dependent
  • Medium freedom: Preferred pattern exists, some variation OK
  • Low freedom: Fragile operations, exact sequence required

No Time-Sensitive Content

  • Never write "as of today", "recently added", "new in v3.0"
  • Use an "old patterns" section for historical context if needed

Feedback Loops

  • Run validator → fix errors → repeat
  • Include verification steps for critical operations

Validation Checklist

Frontmatter: name and description present and valid ✅ Name: Lowercase, hyphens only, 1-64 chars, matches directory name ✅ Description: 1-1024 chars, third person, includes trigger keywords ✅ Body: Under 500 lines ✅ References: One level deep from SKILL.md ✅ No stale content: No temporal references ✅ Consistent terminology: One term per concept throughout ✅ Tested: Works with at least 3 representative prompts

Supporting Files

  • reference.md: Detailed patterns, architecture, validation rules
  • examples.md: Skill creation workflows and examples
how to use skill-builder

How to use skill-builder on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add skill-builder
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/rysweet/amplihack --skill skill-builder

The skills CLI fetches skill-builder from GitHub repository rysweet/amplihack and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/skill-builder

Reload or restart Cursor to activate skill-builder. Access the skill through slash commands (e.g., /skill-builder) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.760 reviews
  • Benjamin Brown· Dec 24, 2024

    Useful defaults in skill-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Daniel Kapoor· Dec 20, 2024

    Solid pick for teams standardizing on skills: skill-builder is focused, and the summary matches what you get after install.

  • Noor Khan· Dec 20, 2024

    I recommend skill-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Noor Lopez· Dec 12, 2024

    skill-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Anaya Menon· Dec 8, 2024

    skill-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aditi Haddad· Dec 4, 2024

    skill-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sophia Gill· Nov 15, 2024

    Registry listing for skill-builder matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sophia Desai· Nov 11, 2024

    skill-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Advait Anderson· Nov 3, 2024

    I recommend skill-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anaya Reddy· Oct 22, 2024

    Useful defaults in skill-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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