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概要と使いどころ
Use for Nauthilus Redis client, Redis Cluster/Sentinel/topology behavior, Redis-backed token/session/flow/cache/bruteforce state, Lua Redis scripts, `NOSCRIPT` recovery, script upload/retry behavior, redismock tests, local cache coordination, and fail-closed runtime state 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。
Semantically merge upstream kit changes while preserving project-specific values and recording sync state
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。
Prevent tool call conflicts when making concurrent edits across a codebase. Establishes strict file ownership, interface contracts, and merge strategies. Use with parallel-agents when executing concurrent 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。
Cascade approved evolution changes through downstream layers, assess impact, run consistency checks, and write evolution audit record
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。
Introduce genuinely new scope into the pipeline by classifying change type and cascading updates through downstream layers
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。
Utility — fill the surface stack map in tech-stack.md and provision skills using intelligent resolution. Called by pipeline commands when tech stack info 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。
Manage API versioning and evolution with URL/header/query strategies, deprecation workflows, breaking change classification, sunset headers, and consumer-driven contract testing. Use when designing versioning strategy, deprecating endpoints, or evolving API contracts.
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 editing an existing codebase and the goal is minimal, standard, and non-invasive changes — prioritizes simplest solution, standard libraries first, and surgical modification without unsolicited refactors
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。
Optimize a single Jetpack Compose @Composable function. Use when the user wants to improve, polish, animate, or refactor ONE Composable — keywords like "optimize this composable", "make this smoother", "add animation to this", "split this composable", "fix recomposition", "this composable is laggy", "polish this UI", or when user pastes/points to a single @Composable function. Analyzes the target for recomposition issues, missing animations, size/concern splits, and stability problems, then iterates with the user via AskUserQuestion to pick which optimizations to apply, then delegates implementation to the kta-compose-developer agent and summarizes changes. Input MUST be exactly one Composable (file path + function name, or function name alone).
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。
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API 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。
Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.
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。
Bu template'in konvansiyonlarina gore degisen dosyalari denetler — Cubit+Freezed state kullanimi, servis/locator yerlesimi, view tipi secimi, dort-durum ele alinisi, tasarim token'lari (renk/tipografi/padding/radius), LocaleKeys, TypedGoRoute, zorunlu <feature>.md ve very_good_analysis kurallari. Kullanici "degisiklikleri incele", "bu PR'i review et", "projeye uygun mu", "mimari kontrol", "review my changes" dediginde kullan.
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。
Turn owner feedback about agent behavior into concrete system changes. Use when the owner says something is off, wants the assistant to improve how it operates, asks for a reflection, or wants a durable fix instead of a one-off apology.
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 Config Cat — configCat feature flag management, remote configuration, A/B testing, targeting rules, and percentage-based rollouts. Covers flag listing, targeting rule management, environment overrides, audit log review, and SDK integration status. Use when managing feature flags, reviewing targeting rules, analyzing flag usage, or auditing configuration changes in ConfigCat.
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 Codeball — codeBall AI-powered pull request risk assessment including automatic PR quality scoring, risk classification, and auto-approval for low-risk changes. Use when configuring CodeBall for automated PR triage, risk-based review routing, and review workload optimization.
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 Codescene — codeScene behavioral code analysis including code health scoring, hotspot detection, change coupling analysis, and PR integration for code quality gates. Use when configuring CodeScene for codebase visualization, technical debt prioritization, and automated code review feedback.
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 Cloudformation — aWS CloudFormation stack management. Covers stack lifecycle, change sets, drift detection, template validation, nested stacks, stack sets, and event troubleshooting. Use when managing CloudFormation stacks, investigating deployment failures, detecting drift, or validating templates.
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 Chamber — chamber secrets management using AWS Systems Manager Parameter Store, service-scoped secret organization, environment variable export, and parameter auditing. Covers reading and writing secrets by service, comparing environments, listing services, version tracking, and IAM permission validation. Use when managing AWS SSM-based secrets with Chamber, auditing parameter changes, or comparing configs across 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。
Use when working with Cloudformation Deep — aWS CloudFormation deep stack management. Covers stack operations, change sets, drift detection, nested stacks, stack sets, resource imports, template analysis, and rollback troubleshooting. Use when managing complex CloudFormation deployments, debugging stack failures, detecting drift, operating stack sets, or analyzing template dependencies.
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 Airbyte — airbyte data integration platform management. Covers connection status monitoring, sync job tracking, source and destination health, schema change detection, workspace management, and connector upgrades. Use when checking sync status, investigating job failures, managing Airbyte connections, or auditing data pipeline configurations.
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 Aws Cloudtrail — aWS CloudTrail event analysis, trail management, insight event investigation, and organization trail configuration. Covers API activity analysis, security event investigation, resource change tracking, unauthorized access detection, and event history querying.
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 Cockroachdb — cockroachDB cluster health, range distribution, SQL statistics, schema change monitoring, and query optimization.
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。
Run PyTorch training across GPUs with minimal 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。
Use when modifying OpenAmer's own core code safely. Gate every change behind the test suite with automatic rollback.
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。