Use when Spark engineering knowledge must be placed, deduplicated, migrated, or validated across AGENTS, Notes, Roles, Skills, and Workflows.
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See how to installReview the instructions the agent will receive before you install.
Apply one home per fact and progressive disclosure.
Use agent knowledge instructions for asset ownership and
loading rules, and CONTRIBUTING.md for public documentation ownership.
Preserve the runtime-context and public-documentation boundaries. Reconcile stale prose with verified enforced contracts; escalate a conflict only when resolving it requires a product or authority decision. Return classification, authoritativeHomes, moves, linksUpdated, validation, and blockers.
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Use when adding or updating Spark AI provider models or their compact and preflight metrics, especially baidu-oneapi, Grok, Claude, GPT, DeepSeek, OneAPI, context windows, output budgets, prices, thinking maps, or transports.
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Use when a Spark change needs its authoritative owner, affected boundaries, risks, acceptance criteria, and smallest verifiable slice established before implementation or review.
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Use when a Spark implementation needs an evidence-based review for correctness, ownership, compatibility, failure handling, maintainability, and unnecessary complexity.
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Use when designing a Spark feature or writing or materially revising a design proposal that needs repository-first research, user input on unresolved key choices, and an owner-aligned implementation plan before code changes.
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Use when a working Spark implementation should be simplified without changing its observed behavior, ownership, compatibility, or public contract.
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Use when a running Spark or DSH web service needs real-browser verification — page load, client-plugin boot errors, console errors, failed requests, or onboarding/dialog rendering — with the repository's own Playwright chromium.
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