azure-microsoft-discovery
Azure Microsoft Discoveryの開発全般において、トラブルシューティングから設計、セキュリティ、デプロイまでを網羅し、最適な構成やKustoクエリ作成などを支援するSkill。
📜 元の英語説明(参考)
Expert knowledge for Azure Microsoft Discovery development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Discovery workspaces, supercomputers, tools/agents, Kusto queries, or REST-based job submissions, and other Azure Microsoft Discovery related development tasks.
🇯🇵 日本人クリエイター向け解説
Azure Microsoft Discoveryの開発全般において、トラブルシューティングから設計、セキュリティ、デプロイまでを網羅し、最適な構成やKustoクエリ作成などを支援するSkill。
※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。
⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。
🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
📦 インストール方法 (3ステップ)
- 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
- 3. 展開してできたフォルダを、ホームフォルダの
.claude/skills/に置く- · macOS / Linux:
~/.claude/skills/ - · Windows:
%USERPROFILE%\.claude\skills\
- · macOS / Linux:
Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。
詳しい使い方ガイドを見る →- 最終更新
- 2026-05-17
- 取得日時
- 2026-05-17
- 同梱ファイル
- 1
📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
Azure Microsoft Discovery Skill
This skill provides expert guidance for Azure Microsoft Discovery. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L41 | Diagnosing and resolving Discovery Engine task execution failures, including common error patterns, configuration issues, and steps to debug and fix task run problems. |
| Best Practices | L42-L49 | Best practices for structuring Discovery projects, running investigations with Discovery Engine, planning tool/compute usage, and applying responsible AI and governance in Microsoft Discovery |
| Decision Making | L50-L60 | Guidance on choosing models, agent types, registries, billing options, and planning/migrating configurations from Discovery v1 to v2 for optimal cost and architecture decisions |
| Architecture & Design Patterns | L61-L65 | Advanced investigation workflows in Microsoft Discovery, including complex search strategies, correlation techniques, and patterns for analyzing and triaging large sets of discovered data. |
| Limits & Quotas | L66-L71 | Planning Discovery capacity with Azure quotas/reservations and applying required naming conventions for Microsoft Discovery resources |
| Security | L72-L83 | Security configuration for Discovery: encryption at rest, customer-managed keys, managed identities, RBAC, network/private access, and enabling/exporting audit logs. |
| Configuration | L84-L105 | Configuring Discovery workspaces, supercomputers, storage, tools, agents, and log queries (Kusto/Log Analytics) for data handling, indexing, orchestration, and investigation lifecycle. |
| Integrations & Coding Patterns | L106-L113 | Patterns and APIs for integrating tools/models into Discovery workflows, containerizing tools with Docker, writing action scripts, and submitting/monitoring Supercomputer jobs via REST |
| Deployment | L114-L120 | Deploying Microsoft Discovery: secure stack setup, provisioning supercomputer infra via REST, registering tools, and publishing tool images to Azure Container Registry. |
Troubleshooting
| Topic | URL |
|---|---|
| Troubleshoot task execution issues in Discovery Engine | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-debug-task-execution |
Best Practices
| Topic | URL |
|---|---|
| Organize projects and investigations in Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-projects-investigations |
| Apply responsible AI practices in Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-responsible-ai |
| Apply basic investigation patterns with Discovery Engine | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-trust-basic-investigation-patterns |
| Plan tool functionality and compute for Discovery tools | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-plan-tool-requirements |
Decision Making
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Use advanced investigation patterns in Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-advanced-investigation-patterns |
Limits & Quotas
| Topic | URL |
|---|---|
| Plan Azure quotas and reservations for Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-quota-reservation |
| Apply Microsoft Discovery resource naming rules | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-resource-naming |
Security
Configuration
Integrations & Coding Patterns
| Topic | URL |
|---|---|
| Integrate tools and models into Microsoft Discovery workflows | https://learn.microsoft.com/en-us/azure/microsoft-discovery/concept-tools-model-integration |
| Create Dockerfiles to containerize Discovery tools | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-create-tool-docker-file |
| Submit and monitor Discovery Supercomputer jobs with REST APIs | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-run-jobs-supercomputer-rest-api |
| Implement action scripts for Discovery action-based tools | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-write-tool-action-scripts |
Deployment
| Topic | URL |
|---|---|
| Deploy a fully network-hardened Microsoft Discovery stack | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-deploy-network-hardened-stack |
| Deploy and register tools to Microsoft Discovery | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-deploy-tool-to-discovery |
| Provision Discovery Supercomputer infrastructure via REST API | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-manage-supercomputers-rest-api |
| Publish Discovery tool images to Azure Container Registry | https://learn.microsoft.com/en-us/azure/microsoft-discovery/how-to-publish-tool-to-acr |