2,507 件 ・ 関連度順
概要と使いどころ
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
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。
Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.
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。
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
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。
Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
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 security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
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 any code, documentation, config, dependency, test, review, or maintenance task in the Nauthilus repository that must follow AGENTS.md, POLICY.md, focused reproducer-first debugging, strict DRY/OOP boundaries, English comments, GOEXPERIMENT=runtimesecret test discipline, Makefile-driven validation, prompt-sync checks, and dirty-tree preservation.
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 validation, guardrails, dependency patch refreshes, vendoring, generated-output checks, `make release-guardrails`, govulncheck-sensitive publishing, structured commits, branch/tag choreography, website-doc side effects, and final clean-state reporting.
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 any code, documentation, config, dependency, test, review, or maintenance task in the Nauthilus repository that needs worktree hygiene, the project documentation map, focused reproducer-first debugging, Makefile-driven validation, and evidence-backed closeout.
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 configuration loading, config schema and defaults, Viper-backed config formats, config dump behavior, vim syntax generation, template validation, prompt guideline sync, documentation under README/IDP/server docs, config converters, and generated documentation or syntax artifacts.
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。
Control FriendlyBet operating cost, free-tier viability, provider/API cost, GitHub Actions/Supabase/Vercel usage, documentation hygiene, company memory updates, playbook maintenance, and skill validation. Use when evaluating cost, operational burden, tooling, internal docs, company memory, or whether agent profiles should become full skills.
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。
Orchestrate phase validation across code-quality and production-readiness gates with mandatory reporting and verdicting
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。
Execute production-readiness gates with applicability control, consolidate validation report, and issue final readiness verdict
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。
Safely evolve shared contracts with consumer discovery, migration tests, versioning checks, and downstream spec cascade validation
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。
Execute RED→GREEN→REFACTOR with validation, deep checks, and mandatory progress updates
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。
Senior Kotlin specialist code review — framework-agnostic. Use whenever the user asks to review, audit, critique, or get feedback on Kotlin code, a file, a class, a function, a module, a diff, a branch, a commit, or a pull request. Judges Kotlin language idioms, logic correctness, architecture and layering, concurrency (coroutines, Flow, structured concurrency, cancellation, race conditions), null safety, exception safety, testability, performance, and security. Detects force-unwraps, unchecked casts, GlobalScope, leaked mutability, broken structured concurrency, hidden side effects, weak abstractions, untestable seams, allocation hot spots, weak crypto, input-validation gaps, and PII logging. Outputs prioritized findings with file:line anchors and minimal-diff fixes. No assumptions about DI framework, UI framework, or build system.
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。
Decompose validated idea-brief.md into 4–8 per-feature PRDs with screens nested. Use after kta-idea-pipeline. Triggers — write PRD, decompose features, feature breakdown, screen list, MVP scope to PRD, post-idea-validation, per-feature PRD, product requirements document, generate PRDs.
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 Codeowners — cODEOWNERS file management covering ownership mapping analysis, coverage gap detection, team assignment validation, orphaned path identification, and review requirement auditing. Use when auditing code ownership across repositories, identifying unowned code paths, validating team configurations, or optimizing pull request review workflows.
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 Cucumber — cucumber BDD testing management and analysis. Covers feature file organization, step definition mapping, scenario tagging, Gherkin syntax validation, test report parsing, and step reuse analysis. Use when managing Cucumber test suites, investigating BDD scenario failures, or reviewing feature file coverage.
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 — 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 Aws Sam — aWS Serverless Application Model (SAM) management. Covers template validation, local testing, build and packaging, deployment orchestration, stack inspection, log tailing, and API Gateway debugging. Use when building serverless applications with SAM, testing locally, deploying Lambda functions, or troubleshooting API Gateway endpoints.
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 Azure Resource Manager — azure Resource Manager (ARM) template and deployment management. Covers template validation, deployment operations, resource group inspection, what-if analysis, deployment history, and template spec management. Use when deploying ARM templates, reviewing deployment status, analyzing resource groups, or troubleshooting failed deployments.
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 Cloudfront — aWS CloudFront distribution analysis, cache hit ratio monitoring, origin health checks, invalidation management, and performance optimization. Covers distribution inventory, behavior configuration, SSL certificate status, geo-restriction, and real-time metrics.
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 hardening for Express, FastAPI, and serverless. Use for rate limiting, CORS, input validation, API keys, or OWASP API Top 10.
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。