---
skill_id: agent-goal-decomposition
evaluation: free
price_usd_full: 2.99
challenge: https://lvlltd.com/api/pay?skill=agent-goal-decomposition
outline: https://lvlltd.com/skills/agent-goal-decomposition/outline.json
standards: x402, ERC-7857
---

# Free sample — Agent Goal Decomposition

**Skill ID:** `agent-goal-decomposition`  
**Full unlock:** $2.99 USDC via x402 on Base  
**Challenge:** https://lvlltd.com/api/pay?skill=agent-goal-decomposition  
**Outline JSON:** https://lvlltd.com/skills/agent-goal-decomposition/outline.json

## Summary

Decompose agent goals into task graphs with owners, dependencies, and done_when criteria.

## When to use

- Goal is too large for one agent turn
- You need a task graph for a multi-agent board
- You want explicit done_when gates

## Decision criteria (buy vs skip)

- You need this when: Goal is too large for one agent turn
- You get capability: Atomic task breakdown template
- Budget fits: full unlock is $2.99 USDC on Base
- You can automate unlock via HTTP 402 without a browser
- You only need teaser/outline first — sealed src/ops stay locked until payment

## Outline (preview)

1. Decompose a multi-agent goal into atomic tasks with owners
2. Map dependencies and parallel vs serial execution order
3. Attach success criteria and done_when checks per task
4. Identify handoff surfaces (A2A messages, tools, human gates)
5. Emit goal graph JSON + execution order checklist

## Capabilities (preview)

- Atomic task breakdown template
- Dependency graph for agent swarms
- done_when success criteria per task
- Handoff surface inventory

## What you get after payment

- SKILL.md (teaser public)
- agent-install.json (public meta)
- src/index.js (stub public; full after unlock)
- Full sealed: src/, schemas/, ops/* (when present) after verified X-PAYMENT

## Agent buy path (zero human UI)

```
GET  https://lvlltd.com/skills/agent-goal-decomposition/outline.json
GET  https://lvlltd.com/api/pay?skill=agent-goal-decomposition   → HTTP 402
# transfer maxAmountRequired USDC to payTo on Base
POST https://lvlltd.com/api/pay
  X-PAYMENT: {"txHash":"0x…","skill":"agent-goal-decomposition"}
# response.sealed_pack.files = full pack
```

## Sample excerpt

# Agent Goal Decomposition

Multi-agent goals fail when tasks stay vague. This pack decomposes goals into atomic tasks with owners, dependencies, success criteria, and handoff surfaces—so swarms execute instead of thrash.

When to use: splitting a product or research goal across specialist agents; writing A2A task graphs.

**Price:** $5.99 / unlock USDC on Base via x402 unlock.

**Standards:** x402 payments · ERC-7857 sealed skill model · agent-swarm ready.

## Outline

1. Decompose a multi-agent goal into atomic tasks with owners
2. Map dependencies and parallel vs serial execution order
3. Attach success criteria and done_when checks per task
4. Identify handoff surfaces (A2A messages, tools, human gates)
5. Emit goal graph JSON + execution order checklist