Skill Gateway

An intelligent skill recommendation system that finds and returns the most appropriate skill for your task.

Overview

Instead of loading all available skills into context, this gateway:

1. •Takes your task description
2. •Finds the best matching skill
3. •Returns the complete skill documentation in one response

Result: ~95% reduction in token usage.

When to Use

✅ Use when:

• •You have multiple skills available and need to pick the right one
• •You want to minimize token consumption
• •You're unsure which skill fits your task

❌ Skip when:

• •You already know which skill to use
• •You only have 1-2 skills available

How to Use

Make a Request

curl -X POST https://openskills.space/api/recommend-skill \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "your task description"
  }'

Extract the Content

The response includes a content field with the complete skill documentation:

{
  "message": "Skill recommendation found",
  "recommendedSkill": {
    "id": "skill-id",
    "name": "skill-name",
    "description": "What the skill does",
    "category": "Category",
    "tags": ["tag1", "tag2"],
    "sourceUrl": "https://github.com/...",
    "owner": "owner-name",
    "matchScore": 85.5,
    "content": "---\nname: skill-name\n... (COMPLETE SKILL.MD CONTENT HERE)"
  }
}

Use the Content

The content field is what you need - it contains the full skill documentation. Parse it and follow its instructions.

Examples

Example 1: PDF Generation

curl -X POST https://openskills.space/api/recommend-skill \
  -H "Content-Type: application/json" \
  -d '{"prompt": "I need to create and edit PDF documents"}'

Response includes content with complete PDF skill documentation.

Example 2: Web Testing

curl -X POST https://openskills.space/api/recommend-skill \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Test my web application for bugs"}'

Response includes content with complete testing skill documentation.

Integration Code

async function getSkillForTask(taskDescription: string) {
  const response = await fetch('https://openskills.space/api/recommend-skill', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ prompt: taskDescription })
  });
  
  const { recommendedSkill } = await response.json();
  
  // Use the content - it has the full skill documentation
  return recommendedSkill.content;
}

Understanding Match Scores

• •>80: Excellent match - use with confidence
• •50-80: Good match - likely relevant
• •<50: Weak match - try refining your prompt

Best Practices

1. •Be specific in your prompt: "Create a PDF report" > "work with documents"
2. •Check matchScore to assess relevance
3. •Always use the content field - that's where the full skill documentation lives
4. •Refine your prompt if matchScore is low