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Reusable instructions for compatible AI agents.
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Read `.agents/docs/LTM/` documents, find durable knowledge that belongs in `.agents/docs/OVERVIEW.md` or `.agents/docs/ARCHITECTURE.md`, and update those core documents with concise synthesized findings. Use when long-term memory notes have accumulated implementation or system knowledge that shou...
Read JOURNAL.md and reorganize its contents into semantically separate long-term memory documents under .agents/docs/LTM/. Use when you want to consolidate accumulated journal entries into reusable, topic-organised reference files.
Generate a new AWS service dossier under .agents/docs/services or enhance an existing service dossier with Smithy-derived operation/resource facts, official AWS documentation research, concrete usage scenarios, and durable Winterbaume LTM lessons.
Consolidate related long-term memory documents under .agents/docs/LTM/ into broader synthesis documents, refresh the LTM index, and promote service-specific durable knowledge into .agents/docs/services/*.md. Use when LTM has grown into overlapping topic files or when service-specific LTM findings...
Port moto's Python test cases for a given AWS service to winterbaume Rust integration tests. Reads moto tests from the moto GitHub repository, translates to aws-sdk-rust + MockAws style, and appends to existing integration_test.rs.
Generate or update the root umbrella CHANGELOG.md and per-crate CHANGELOG.md files from cargo-dist style git release tags, GitHub release context, and commit history. Use when Codex is asked to create changelogs, compare changes between independent crate releases, prepare release notes, fill an U...
Use when the vendored AWS Smithy models under vendor/api-models-aws change, or when API coverage, README service tables, TODO unimplemented-service lists, generated model/wire files, or service dossiers need to be reconciled with the current Smithy checkout.
Read TODO.md and scan source code for TODO/FIXME comments, build a consolidated list, then dispatch parallel agents to address as many items as possible.
Implement or enhance a Terraform converter for an AWS service via the spec-driven codegen pipeline. Creates a new spec + converter or adds missing resource types / fields to an existing one.
Refactor a service crate's state module to use domain-specific error enums instead of constructing end-user-facing error structs (error_type/message/status). Moves error shaping responsibility into the handler layer.
Generate AWS API coverage reports comparing winterbaume implementations against official AWS API models, plus Terraform converter coverage at the resource-type and per-attribute levels.
Generate terraform E2E test suites for an AWS service, testing all terraform resource types winterbaume's handlers support via real `terraform apply` against an in-process server.
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