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Chained Multi-Skill Pipeline & Stage Transition Polish
Optimize the handoffs, data schemas, and quality gates across multi-stage chained AI agent workflows.
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# Multi-Skill Chained Workflow Optimization Protocol
## Objective
Review a multi-agent workflow composed of multiple chained skills. Optimize the inter-stage data schemas, execution order, failure containment, and verification gates.
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## Key Optimization Axes:
1. **Schema Standardization:** Ensure the output of Stage N matches the exact JSON/Markdown structure required by Stage N+1.
2. **Context Pruning:** Filter out intermediate scratchpad noise so downstream agents only receive high-signal inputs.
3. **Quality Gates & Checkpoints:** Add deterministic verification steps between stages to catch errors early.
4. **Idempotency & Resumability:** Design stages so failed workflows can resume from the last successful checkpoint without repeating expensive calls.
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