Kotlin mapping for the AppSettings proto-backed DataStore: UI-state and native-preferences conversion. Use when adding or reading an app-settings field. Removing a field: use protobuf-schema-evolution first.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Kotlin mapping for the AppSettings proto-backed DataStore: UI-state and native-preferences conversion. Use when adding or reading an app-settings field. Removing a field: use protobuf-schema-evolution first.
日本語の概要は準備中です。原文の説明を表示しています。
Reserved-field rules and field-number lookup for evolving AppSettings, plus the Rust/Kotlin diagnostics wire contract. Use before assigning or removing a proto field. DataStore mapping: protobuf-datastore.
日本語の概要は準備中です。原文の説明を表示しています。
Use for authorized reverse engineering of custom binary protocols, Protobuf/gRPC, WebSocket frames, and PCAP-driven protocol recovery.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.
日本語の概要は準備中です。原文の説明を表示しています。
Provides gRPC usage guidelines, protobuf organization, and production-ready patterns for Golang microservices. Use when implementing, reviewing, or debugging gRPC servers/clients, writing proto files, setting up interceptors, handling gRPC errors with status codes, configuring TLS/mTLS, testing with bufconn, or working with streaming RPCs.
日本語の概要は準備中です。原文の説明を表示しています。
Builds, runs, debugs, and operates event-driven applications using EventBridge Event Bus - a managed, centrally governed publish/subscribe event bus that an organization can share across many teams and accounts. Applicable when workloads need event-driven architectures, decoupling, choreography, asynchronous integration, pub/sub, fan-out, event ordering, delivered in sequence, event router, event broker, event bus, event store, event retention, event replay, deduplication, avro, protobuf, cloudevents, uses events or messages. Designed as a centrally managed event bus platform allowing governance and control - such as subscriber control, revocation, per-account throttling - while giving application owners flexibility across an organization spanning multiple accounts, with end-to-end open-standards observability and cost allocation. Also helps reduce costs in high fan-out scenarios where multi-account forwarding adds cost. A serverless, managed alternative to self-managed event streaming platforms.
日本語の概要は準備中です。原文の説明を表示しています。
Use when reviewing a DataFusion Comet pull request that adds or changes a Spark expression, its Scala serde, its protobuf message, or its native Rust implementation. Load alongside review-comet-pr, which covers the parts of the review that apply to every PR.
日本語の概要は準備中です。原文の説明を表示しています。
Choose the right serialization format for .NET applications. Prefer schema-based formats (Protobuf, MessagePack) over reflection-based (Newtonsoft.Json). Use System.Text.Json with AOT source generators for JSON scenarios.
日本語の概要は準備中です。原文の説明を表示しています。
Design, change, or review an HTTP/JSON API surface — endpoints, request/response shapes, authentication and authorization, pagination, idempotency, rate limits, versioning, and deprecations. Use when adding or modifying an HTTP endpoint, reviewing an OpenAPI spec or HTTP route diff, or deciding whether an HTTP API change breaks consumers. Do not use as a protocol-compatibility checklist for gRPC/protobuf, GraphQL, WebSockets, or other non-HTTP/JSON interfaces.
日本語の概要は準備中です。原文の説明を表示しています。
Use for authorized reverse engineering of custom binary protocols, Protobuf/gRPC, WebSocket frames, and PCAP-driven protocol recovery.
日本語の概要は準備中です。原文の説明を表示しています。
Protobuf schema design, streaming patterns, interceptor chains, deadline propagation, and error handling for gRPC services.
日本語の概要は準備中です。原文の説明を表示しています。
Build or review gRPC services and clients in .NET. USE FOR: ASP.NET Core gRPC, protobuf contracts, unary or streaming RPC, gRPC client factory, interceptors, deadlines, cancellation, channel reuse, backend service integration. DO NOT USE FOR: broad browser-facing APIs without gRPC-Web tradeoff review, SignalR realtime hubs, plain REST APIs. INVOKES: dotnet build/test and focused service or client smoke checks when code changes.
日本語の概要は準備中です。原文の説明を表示しています。
运行代码生成并检查变更。在修改 API 规范(api-specs/ YAML)或 sandbox OpenAPI/protobuf 后使用。
日本語の概要は準備中です。原文の説明を表示しています。
Choose the right serialization format for .NET applications. Prefer schema-based formats (Protobuf, MessagePack) over reflection-based (Newtonsoft.Json). Use System.Text.Json with AOT source generators for JSON scenarios.
日本語の概要は準備中です。原文の説明を表示しています。
Lints Protocol Buffer definitions using the Buf CLI ruleset and validates gRPC service contracts. Detects breaking changes between proto revisions using buf breaking with git integration.
日本語の概要は準備中です。原文の説明を表示しています。
Extracts and transforms Avro, Protobuf, and JSON Schema definitions from Confluent Schema Registry. Generates typed data models and validates schema compatibility using the Schema Registry REST API.
日本語の概要は準備中です。原文の説明を表示しています。
Design serialization schemas using JSON Schema, Protocol Buffer definitions, or Apache Avro. Covers schema versioning, backwards compatibility, validation rules, and evolution strategies for long-lived data formats. Use when defining a new API contract or data interchange format, adding fields to an existing schema without breaking consumers, migrating between schema versions, choosing between schema systems, or documenting data validation rules for automated enforcement.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain Yuzu's protobuf wire contracts, code generation, and gateway proto mirrors. Use when editing `.proto` files, `proto/gen_proto.py`, `proto/meson.build`, `proto/buf.yaml`, or any file under `gateway/priv/proto`.
日本語の概要は準備中です。原文の説明を表示しています。
Use the supported Yuzu Windows workflow: MSYS2 bash plus MSVC plus vcpkg. Use when handling Windows builds, `setup_msvc_env.sh`, `triplets/x64-windows.cmake`, Windows CI, or the Windows-specific protobuf and grpc linkage in root `meson.build`.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Protocol Buffer (.proto) files, buf.yaml, buf.gen.yaml, or buf.lock. Covers proto design, buf CLI, gRPC/Connect services, protovalidate constraints, schema evolution, and troubleshooting lint/breaking errors.
日本語の概要は準備中です。原文の説明を表示しています。
Design Kafka consumer groups that survive rebalances, hit the right delivery guarantee (at-most/at-least/exactly-once), and handle poison messages without stalling the topic. Use when picking a partition assignment strategy (Range vs Sticky vs Cooperative-Sticky vs the new KIP-848 protocol), tuning heartbeat / session / max.poll.interval timeouts, choosing manual vs auto offset commits, designing dead-letter or retry topics, or migrating from Classic to the next-gen Consumer protocol. NOT for Kafka cluster ops (broker tuning, partition reassignment), schema design (Avro/Protobuf/Schema Registry), or stream processing topology (use a kafka-streams skill).
日本語の概要は準備中です。原文の説明を表示しています。
Use when selecting serialisation formats and contracts for APIs, messaging, caching, or persistence. Keywords: serialisation, System.Text.Json, source generator, protobuf, messagepack, wire compatibility, AOT.
日本語の概要は準備中です。原文の説明を表示しています。
Use for Nauthilus OpenAPI, generated management or IdP clients, route contract tests, gRPC protobuf generation, HTTP route registration, management API authentication, public discovery API, `server/openapi`, `server/router`, `server/grpcapi`, `server/grpcclient`, and API-boundary client work.
日本語の概要は準備中です。原文の説明を表示しています。
API design patterns for REST, gRPC, and GraphQL. Use for: api design, REST, gRPC, GraphQL, protobuf, schema design, api versioning, pagination, rate limiting, error format, OpenAPI, API authentication, JWT, OAuth2, API gateway, webhook, idempotency.
日本語の概要は準備中です。原文の説明を表示しています。