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What is the core design philosophy of Shipwright Station 1 (Intake Loop) regarding the division of labor between shell scripts and language models?
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advanced 35 min
Shipwright: The Intake Loop
Wire the first station end to end: fetch an issue, filter it, and produce a written plan through a command and the plan agent.
Based on Anthropic Claude documentation and the CCA-F exam blueprint. Updated August 2026.
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An incoming issue arrives with state OPEN, labels ['enhancement', 'needs-human'], and a body containing '- [ ] Add health endpoint'. How does the Station 1 intake filter script handle this request?
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Why does Shipwright mandate that Station 1 save implementation-plan.md directly to disk rather than passing the intake plan to Station 2 through ongoing conversational memory?
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