1,842 件 ・ 関連度順
概要と使いどころ
Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.
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。
Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).
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。
Infrastructure and CI/CD specialist. Automates deployments to Vercel, Docker, or AWS.
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 creating new skills, editing existing skills, or verifying skills work before deployment
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。
[Alpha] Experimental Azure environment builder for infrastructure and deployment design. Use when building Azure infrastructure, generating Bicep with AVM modules, deploying apps to App Service/AKS/Container Apps, designing Hub-Spoke/AKS/AI Foundry architectures, or creating low-cost Azure operations demos.
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。
Deploy, run, list, or tear down the agents in this repo's .managed-agents/ folder on Anthropic Managed Agents. Use when the user says "deploy my agents", "ship this agent to the cloud", "run the deployed agent", or asks about managed-agent deployment.
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。
"Apply AI ethics frameworks (fairness, accountability, transparency, privacy) to evaluate AI systems for algorithmic bias, explainability gaps, and value alignment failures. Use this skill when the user needs to audit an AI system for ethical risks, design fairness constraints, assess explainability requirements, or when they ask 'is this AI system fair', 'how do we detect algorithmic bias', 'what are the ethical implications of this AI deployment', or 'how do we make this model explainable to stakeholders'.".
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。
Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.
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。
Post-merge deployment workflow covering feature flags, canary/blue-green rollout, smoke-test verification, and rollback triggers. Use after a PR is merged and you need to ship it safely to production. Trigger on "deploy", "roll out", "canary", "feature flag", "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。
Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browser_use, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle hooks, MCP server setup, or monitoring/observability with Laminar or OpenLIT. Also trigger for questions about browser-use installation, prompting strategies, or sensitive data handling. Do NOT use this for Cloud API/SDK usage or pricing — use the cloud skill instead. Do NOT use this for directly automating a browser via CLI commands — use the browser-use skill instead.
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。
Plan, build, scaffold, or safely extend Atlassian Forge apps using current official documentation. Use for fresh Forge apps, existing-app feature work, module and manifest changes, UI Kit or Custom UI implementation, backend functions and events, Atlassian or external APIs, storage, permissions, environment configuration, distribution-affecting implementation, validation, and explicitly authorized deployment or installation; route standalone debugging and specialist reviews to their dedicated 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。
Operate Cobalt Strike for red team engagements including Beacon deployment, C2 communication, post-exploitation, lateral movement, and evasion. Use this skill when conducting authorized red team operations that require a commercial C2 framework. Covers malleable C2 profiles, staged/stageless payloads, sleep and jitter configuration, SOCKS proxying, and advanced BOF (Beacon Object Files) usage for opsec-safe operations.
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。
Active Directory security audit using the MITRE ATT&CK framework. Full domain enumeration, trust mapping, GPO analysis, ACL abuse paths, ADCS attacks (ESC1-ESC8), delegation abuse (constrained/unconstrained/RBCD), fine-grained password policies, LAPS deployment, service account security, and Kerberos configuration. Uses enum4linux-ng, netexec, impacket, ldapsearch, certipy-ad, bloodhound-python, and rpcclient. Produces attack path diagrams, prioritized risk register, and PoCs. Chains into /gh-export for issue filing.
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 developing desktop applications with Qt in C++ - CMake setup, signals and slots, QThread and QtConcurrent, QML integration, model/view programming, Qt5 to Qt6 migration, or windeployqt/macdeployqt/linuxdeployqt deployment
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 building high-performance APIs with django-bolt - routing, JWT auth, msgspec serializers, WebSockets, SSE streaming, file uploads, ORM patterns, runbolt deployment, or migrating from DRF
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 integrating Celery with Django - task definition and calling, django-celery-beat scheduling, worker deployment, Flower monitoring, testing tasks, batch processing, or choosing between cron and beat
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。
Docusaurus 3.x documentation framework — site configuration, docs/blog plugins, sidebars, versioning, MDX, swizzling, and deployment
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。
Vercel deployment platform — project configuration, serverless/edge functions, Routing Middleware, cron jobs, environment variables, monorepo setup
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。
Netlify deployment platform — serverless functions, edge functions, redirects, forms, Blobs, build plugins
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。
GitHub Actions, pipelines, deployment
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。
LiteLLM proxy server setup, TypeScript client patterns via OpenAI SDK, model routing, fallbacks, load balancing, spend tracking, virtual keys, and production deployment
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。
Replicate SDK patterns for TypeScript/Node.js -- client setup, predictions, streaming, webhooks, file handling, model versioning, deployments, and training
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。
Serverless GPU compute platform for AI model deployment — web endpoints, GPU functions, model serving, and TypeScript client patterns
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。
Plan launch readiness, staged rollouts, production monitoring, rollback, communications, and post-launch validation. Use when the user asks for `/ship`, pre-launch checklists, release readiness, staged rollout plans, feature flags, deployment monitoring, or rollback planning.
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。