Use when Spark engineering knowledge must be placed, deduplicated, migrated, or validated across AGENTS, Notes, Roles, Skills, and 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 designing a Spark feature or writing or materially revising a design proposal that needs repository-first research, user input on unresolved key choices, and an owner-aligned implementation plan before code changes.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Turn a requested capability into an evidence-backed decision and the smallest plan that can prove it.
ask, use ask with those options, recommendation, and tradeoffs. When it does not, return structured needs-decision with the same options, recommendation, and root-question order so the caller can ask. That return completes this planning step; it does not mean a choice has been obtained.Until the key choices are obtained, mark the dependent selection and plan
needs-decision. Treat silence as no choice, not agreement. Do not implement
the dependent behavior while waiting. Editorial corrections and implementation
of existing decisions do not reopen settled choices or require a new proposal.
Put source citations and applicable versions in problemEvidence. Put the
basis of each selection, including reused decisions, explicit user choices,
and delegations, in selection. When verdict is needs-decision, options
holds the viable options and tradeoffs, selection holds the recommendation
and why, and openQuestions holds the root-question order for the caller.
A user choice establishes the design direction, not proposal acceptance or
implementation authority. Return problemEvidence,
options, selection, plan, acceptanceCriteria, risks, outOfScope,
validationCommands, openQuestions, and verdict.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when Spark engineering knowledge must be placed, deduplicated, migrated, or validated across AGENTS, Notes, Roles, Skills, and 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 adding or updating Spark AI provider models or their compact and preflight metrics, especially baidu-oneapi, Grok, Claude, GPT, DeepSeek, OneAPI, context windows, output budgets, prices, thinking maps, or transports.
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 Spark change needs its authoritative owner, affected boundaries, risks, acceptance criteria, and smallest verifiable slice established before implementation or review.
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 Spark implementation needs an evidence-based review for correctness, ownership, compatibility, failure handling, maintainability, and unnecessary complexity.
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 working Spark implementation should be simplified without changing its observed behavior, ownership, compatibility, or public contract.
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 running Spark or DSH web service needs real-browser verification — page load, client-plugin boot errors, console errors, failed requests, or onboarding/dialog rendering — with the repository's own Playwright chromium.
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。