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Agent Framework Azure Hosted Agents workflow skill. Use this skill when the user needs Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Software architecture guidelines to maintain code readability (Clean Code, SOLID, DRY) and application scalability / Panduan arsitektur perangkat lunak untuk menjaga keterbacaan kode (Clean Code, SOLID, DRY) dan kemampuan skalabilitas aplikasi.
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Power Platform のテナント / 環境ガバナンスを確認・設定する。通常開発では事前チェックせず、環境チェックの明示依頼時または開発・デプロイ障害時だけ診断する。依頼者の現在有効な委任権限と対象範囲を確認し、権限内の最小診断・承認済み修復・限定リトライ、権限不足なら管理者への依頼へ分岐する。環境・DLP・ACP・環境グループ・テナント戦略の確認と dry-run 付き管理操作を提供する。
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[AUTO-INVOKE] MUST be invoked at the START of each new coding session. Covers context management, task strategies, and Foundry-specific workflows. Trigger: beginning of any new conversation or coding session in a Solidity/Foundry project.
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Use when the user wants to smoke-test the evolve pipeline, test tools, or verify the plugin works end-to-end. Also use when the user says 'dry run', 'smoke test', or 'test pipeline'.
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Validates Ansible playbooks using ansible-lint and the Ansible Galaxy API. Performs check-mode dry runs, validates role dependencies, and detects deprecated module usage across collections.
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Use when a task needs the judgment of a drywall and ceiling tile installer — specifying a fire-rated wall/ceiling assembly to a UL design number, hitting an STC target on a demising wall, choosing board type for a wet area, placing control joints on a long run, or diagnosing why a finished assembly failed inspection or a sound/mold complaint.
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A-Corp Foundry — the coordination engine for agentic companies. Register, learn the system, and discover specialized skills.
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Use when writing, reviewing, or deploying Solidity smart contracts — token contracts, signature-gated claim systems, merkle-gated staking vaults, allocation modules, role-based proxies, or factory patterns. Triggers on edits to `*.sol` files, `hardhat.config.*`, `foundry.toml`, deploy scripts, or mentions of "smart contract", "Solidity", "Web3", "EVM", "Hardhat", "Foundry", "ERC20/721/1155", "merkle", "staking", or "on-chain". For security audits and adversarial review see security-engineering.
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Bulk JIRA operations on 10+ issues via the jira-as wrapper: bulk transition / assign / set-priority / clone / delete. Dry-run is MANDATORY first. Triggers: 'bulk update N issues', 'mass transition', 'transition 50+ issues to Done', 'bulk-clone', 'bulk-delete'. NOT for single-issue ops (mk:jira-issue / mk:jira-lifecycle).
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Enforces KISS/DRY/YAGNI during authoring and ad-hoc quality reviews. Pragmatic standards: concise, direct, no unnecessary comments. NOT for post-hoc diff/PR review (see mk:review); NOT for behavior-preserving simplification passes (see mk:simplify).
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Bulk Confluence operations on 10+ pages via the confluence-as wrapper: bulk-label / bulk-move / bulk-delete. Dry-run is MANDATORY first. Triggers: 'bulk update N pages', 'mass label', 'delete all pages matching CQL', 'bulk-move pages to PARENT'. NOT for single-page ops (mk:confluence-page); NOT for comment/attachment ops (mk:confluence-collaborate).
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Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
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Test, fold or refute hypotheses beside the knowledge record, and reconcile records across branches. Use when open or check say hypotheses wait or an id is CONTESTED, when a write was refused into a hypothesis, before merging a branch whose record changed, and when a pull request's dry run or remeasure is red. Covers consolidate --dry-run, the fold, --refute, --from, same and distinct at the fold, and remeasure.
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Prefab / Scene / Asset を壊さず編集する。preflight 診断 → dry-run 差分 → confirm + change_reason 監査 → runtime 検証の 4 段ゲートを 1 経路で踏む。 トリガー: パッチ適用、Prefab Variant 編集、`set_property` / `patch_apply` / `revert_overrides` を伴う変更全般。
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Unity Prefab / Scene / Asset の壊れた参照・Variant override・配線ミスを構造化応答で診断し、 dry-run → confirm 経路で安全に修復するための MCP ツールリファレンス。 Editor Bridge のセットアップ手順もここに含む。 トリガー: .prefab, .unity, .asset, .mat, Prefab, Variant, 配線, 参照, 壊れた参照, broken reference, GUID, fileID, override, パッチ, patch plan, validate refs, validate structure, where-used, inspect variant, inspect wiring, inspect hierarchy, wiring, null参照, null reference, MonoBehaviour, 階層, hierarchy, Transform整合, 孤立, orphan, 重複fileID, duplicate fileID, Editor Bridge, Bridge セットアップ, bridge setup, deploy_bridge, UNITYTOOL_BRIDGE_WATCH_DIR, watch ディレクトリ のいずれかに該当する作業で使用する。
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Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
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governance artifactのmigration候補とdry-run差分を確認したいとき、rollback条件を保った移行を実行したいときに使う。
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Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations. Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".
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Build container-based Foundry Agents with Azure AI Projects SDK (HostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
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ユニットテスト、統合テスト、メインネットフォークを使用してHardhatとFoundryでスマートコントラクトを包括的にテストします。Solidityコントラクトをテストする時、ブロックチェーンテストスイートをセットアップする時、またはDeFiプロトコルを検証する時に使用してください。
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Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
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Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
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Technical research methodology with YAGNI/KISS/DRY principles. Phases: scope definition, information gathering, analysis, synthesis, recommendation. Capabilities: technology evaluation, architecture analysis, best practices research, trade-off assessment, solution design. Actions: research, analyze, evaluate, compare, recommend technical solutions. Keywords: research, technology evaluation, best practices, architecture analysis, trade-offs, scalability, security, maintainability, YAGNI, KISS, DRY, technical analysis, solution design, competitive analysis, feasibility study. Use when: researching technologies, evaluating architectures, analyzing best practices, comparing solutions, assessing technical trade-offs, planning scalable/secure systems.
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