Documentation

Learn how SkillSlap works

What is SkillSlap?

SkillSlap is a platform for sharing agentic workflow files (SKILL.md) with a “Tip-to-Focus” monetization model. Creators publish reusable AI agent instructions, and users can tip to show support and prioritize development.

Think of it as GitHub meets Patreon for AI agent workflows. Every skill is open source, tareable, and earns its creators tips based on community value.

Key Concepts

SKILL.md Files

Skills are markdown files containing instructions for AI agents. They can include prompts, workflows, decision trees, and any structured guidance for agentic tasks.

Focus Pool

Each skill has a “Focus Pool” - the total tips received. Higher focus indicates community interest and can prioritize development. Focus pools determine trending status and creator earnings.

Focus Tiers

Dormant (<$20/mo) - Minimal activity
Low Focus ($20-50/mo) - Monthly check-ins
High Focus ($50-100/mo) - Active development
Trending (>$100/mo) - Priority + featured

Taring

Any skill can be tared to create derivatives. Tared skills maintain attribution to the original creator, and tips can be distributed across the tare chain based on contribution.

Contributors

Skills can have multiple contributors. Earnings are distributed based on contribution weight, verified through proof-of-work (PRs, commits, documentation).

AI Verification

Verify contributor proofs using AI agents. Run verification locally via CLI (Claude Code, curl, custom scripts) or let the server handle it with your API key.

Getting Started

Sign in with GitHub

Connect your GitHub account to create and manage skills.

Create a Skill

Write your agentic workflow as a SKILL.md file. Include clear instructions, examples, and expected behaviors.

Publish & Share

Set your skill to “Active” to make it visible in the marketplace. Share it with the community!

Earn Tips

Users who find your skill valuable can tip to your focus pool. Higher focus means more visibility.

SKILL.md Format

# Skill Title

## Description
Brief description of what this skill does.

## When to Use
- Scenario 1
- Scenario 2

## Instructions
Step-by-step instructions for the AI agent.

### Step 1: Analyze
First, analyze the input...

### Step 2: Process
Then, process the data...

### Step 3: Output
Finally, format the output...

## Examples

### Example 1
Input: ...
Output: ...

## Notes
Additional context or caveats.

Ready to create?

Start sharing your agentic workflows with the world.

Create Your First Skill