「dry」の検索結果

Clean up and reorganize markdown in enriched Jupyter notebooks. Arguments: [target] [--dry-run] [--aggressive] [--hierarchy-only]

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。

Review and merge student exercise PRs during TP sessions. Arguments: <repo-url> [--class <class-id>] [--timeslot <HH:MM-HH:MM>] [--dry-run]

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。

方案到交付 Workflow：当用户显式调用 `$solution-to-delivery`，或明确要求运行“方案到交付”完整流程时使用。 把已确认产品方案转成经过独立 Review 的 PRD、适用的 UI/HTML/截图、版本拆分和 Product Delivery Package；当前 Agent Runtime 只做 Package 发布 dry-run，真实写入保持 authorization_required。

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 publishing a local PRD Markdown file to DingTalk Docs or Drive with version-history preflight and read-back, or when validating an approved Product Delivery Package through its fail-closed dry-run path. Package mode real writes require a trusted host approval capability and are unavailable in the current Agent runtime.

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。

SOLID design review rules (SRP, OCP, LSP, ISP, DIP) for code reviews: what counts as a real design finding, what is only taste, how to cite it and how severe it is. Use when reviewing a diff, a pull request or recent changes for design problems, when asked for a "SOLID review", "design review", "is this class doing too much", or when a review checklist asks for SOLID. Pair it with the dry skill for duplication and with owasp-asvs for security.

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。

Evaluate repeated code and consolidate duplication when a shared abstraction improves correctness or maintenance. Use after introducing similar logic or when repeated changes reveal a missing source of truth.

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。

Bulk JIRA ops (10+ issues): transition/assign/priority/clone/delete via jira-as; dry-run mandatory. NOT single-issue ops (mk:jira-issue, mk:jira-lifecycle).

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。

Bulk Confluence ops (10+ pages): bulk-label/move/delete via confluence-as; dry-run mandatory. NOT single-page (mk:confluence-page) or comments/attachments (mk:confluence-collaborate).

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-ticket Fibonacci sizing for a paste-mode batch of user stories. Default mode is advisory-only (writes a Story Sizing Report). Opt-in `--auto-create` delegates ticket creation to mk:jira-issue + mk:jira-collaborate with mandatory dry-run + single batch confirmation gate. NOT for single-ticket estimation (mk:jira-estimator); NOT for sprint capacity (mk:planning-engine).

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。

Enforces KISS/DRY/YAGNI during authoring and ad-hoc reviews: concise, direct, no unneeded comments. NOT for post-hoc diff/PR review (mk:review); NOT for simplification passes (mk:simplify).

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。

Given an article DOI or PubMed ID, discover and download the genomics data files deposited by the authors (VCF, FASTA, H5AD, CSV, JSON, BAM, etc.) from public repositories such as GEO, ENA, Zenodo, Figshare, Dryad, and OSF.

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。

Reconcile baseline-versioned files that the `create-baseline upgrade` CLI staged for LLM-assisted semantic merge. Use when the CLI prints "Open Claude Code and run /upgrade-project to reconcile". Reads the stage manifest at `.claude/state/upgrade/<ts>/manifest.json`, reasons through each pending file's three-way delta in main context, writes a reconciled LOCAL, then deletes the stage when every file lands. Supports `--dry-run` (preview the reconciled diff without writing) and a structured "needs-user-input" fallback when the conflict cannot be disambiguated automatically.

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。

Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.

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。

Build AI applications on Microsoft Foundry using the azure-ai-projects SDK.

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。

High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.

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。

Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.

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。

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

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 Terragrunt — DRY multi-env configs, module dependencies, remote state orchestration — even when the user just says 'deploy this to staging and prod' without naming Terragrunt.

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 a diff needs a readability review — naming, single-responsibility, DRY, dead code, mismatch with codebase conventions — dispatched by /review-changes, /do-and-judge, /judge.

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。

[Architecture] Use when grading project architecture and scalability quality for greenfield init or brownfield audit: build/CI scalability, distributed-monolith risk, module isolation, dependency discipline, loose coupling, horizontal scaling, DRY, abstraction, clean architecture, observability, and delivery.

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。

Cleanly tear down a crouton poc/app — the inverse of /deploy. Removes the code, the Cloudflare Worker + D1 + KV (both env scopes), the app's stray branches, and closes its epic/sub-issues — with a --dry-run first and a typed confirm for anything destructive. Use when asked to "remove an app", "tear down a poc", "delete app X and its resources", or to clean up after an abandoned proof-of-concept. Counterpart to /deploy, /poc-deploy, crouton init.

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。

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, co...

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。

Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.

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。

Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This i...

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。