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llm-to-bedrock

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Use when the user wants to migrate code that calls OpenAI, Gemini/Google AI, or the Anthropic API to Amazon Bedrock — a pure model/SDK rewrite. End-to-end: assesses the codebase, rewrites SDK calls, evaluates output quality against Bedrock, and delivers a ready-to-merge git branch. Also has an access-only mode for checking or enabling Bedrock model access for specific models (e.g. 'request access to Claude on Bedrock', 'which models do I turn on') with no code migration — it checks each model and walks the right access step, then stops. Not for agent runtime selection or agent migration planning (use agent-advisor), nor standalone cost estimates or infra-only migration. The full migration REQUIRES gcp-to-aws OR azure-to-aws installed alongside this skill (gcp-to-aws preferred when both are present); access-only mode needs neither.

plugins/aws-startup-advisor/skills/llm-to-bedrock/SKILL.md

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Nov 7, 2026
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Apache-2.0

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# Migrate to Bedrock (Assess + Execute)

Single-command AI migration: OpenAI / Gemini / Anthropic → Amazon Bedrock.

**Requires the `gcp-to-aws` OR the `azure-to-aws` skill installed alongside this one.** This
skill has no standalone Assess implementation — Phase A below runs Assess by directly reading
and executing whichever of those two skills is present's own phase instruction files in this
same session (the same inline-execution pattern `agent-advisor` uses for its `migration-plan`
phase: no cross-skill tool call, no turn boundary, and no dependency on your agent supporting a
Skill/subagent dispatch mechanism — reading a file works on any agent). There is no fallback
path that performs Assess itself if neither sibling is present. If you installed this skill on
its own (e.g. a single-skill `npx skills add`), install `gcp-to-aws` or `azure-to-aws` too
before using it.