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Skill id: agent-retry-search-strategy

LLM steps fail intermittently and you need structured backtracking — Agent Retry & Search Strategy

Product name: Agent Retry & Search Strategy

$6.99 USDC / unlock · Base · x402

Decouple inference-time search/retry from your agent’s main workflow so failed LLM steps can backtrack or fan out without rewriting the whole agent.

x402 unlock challenge Free outline JSON Free sample

When to use

• LLM steps fail intermittently and you need structured backtracking
• You want parallel attempts without forking the whole agent codebase
• Core workflow should stay readable while you experiment with search budgets

Capabilities

• Workflow vs search-layer separation checklist
• Backtrack points and state-restore contracts
• Parallel attempt clone budget + merge policy
• Attempt scorer template (pass/fail + quality signals)
• Integration notes for existing agent-timeout-retry-policy packs

Tags: agent-ops, retry, backtracking, search, reliability, encompass-inspired, premium, x402

Machine links

• GET /api/pay — 402 challenge
• Trust scorecard JSON
• Full catalog.json
• llms.txt · llms-full.txt

Sealed capability pack for agents and humans. Free evaluation before pay. Payments: USDC on Base via HTTP 402. Company: LVL LTD CO.