「plan」の検索結果

Design a test strategy around product risk, business invariants, failure modes, and existing controls, deciding what deserves testing and at which boundary rather than maximising coverage. Use whenever the user asks how to test something, wants a test plan or strategy, is deciding between unit/integration/contract/E2E/property/concurrency testing, or wants to know whether existing tests actually protect what matters. Prefer this over writing tests immediately. Part of the audit suite; inherits the shared constitution while its own job is proving risk coverage.

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Prepares mobile releases across Flutter, native Android, native iOS, React Native and Kotlin Multiplatform, including separate Android/iOS artifacts from a shared KMP revision. Covers versions, signing, symbols, store readiness, rollout, release notes and CI/CD. Use for release audits, store submission, build pipelines or rollout 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。

Identify the first beachhead market segment for a product launch. Evaluates segments against burning pain, willingness to pay, winnable market share, and referral potential. Use when choosing a first market, targeting an initial customer segment, or planning market entry strategy.

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Orchestrate any tdmcp test-coverage work: run the coverage harness, inspect coverage gaps, plan focused Vitest/msw or bridge tests, delegate coverage writers, verify coverage deltas, and re-run gates. Use whenever the user asks to raise coverage, add broad regression coverage, create a test harness, improve tests, re-run a coverage wave, or fix a coverage gate.

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。

Write operator-facing and public documentation plans for AI-Controlled Party mixer/Soundcraft Ui24R scene arming. Use for runbooks, rehearsal checklists, show-day checklists, EN/PT docs updates, demo scripts, safety wording, and follow-up documentation revisions.

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。

Open the AOS Hub on 127.0.0.1:7900 (services, plan kits, store) or stop/status it. Generated from plugin-commands.json; invoke as $bdb-aos:hub.

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Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.

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Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

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 Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings.

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Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management.

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Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it'...

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Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...

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。

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or ...

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 FriendlyBet ethical growth, SEO, README positioning, open-source contribution paths, self-hosting story, public trust, and discovery without ads, trackers, spam, or dark patterns. Use for repo-facing docs, growth strategy, launch positioning, SEO pages, contributor onboarding, or public messaging.

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Review FriendlyBet quality, regression risk, test plans, release readiness, version bump discipline, scoring/locking correctness, provider fallback behavior, and dirty-worktree safety. Use before shipping app code, scoring changes, migrations, sports integrations, copy updates, PWA cache changes, or any risky user-facing flow.

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。

Shape FriendlyBet product decisions, MVP scope, user stories, tournament flows, multi-sport expansion, pool mechanics, social competition loops, and feature prioritization. Use when planning what FriendlyBet should build, cut, sequence, or validate, especially for new sports, prediction formats, pool flows, leaderboards, sharing, or product strategy.

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 or review FriendlyBet architecture, implementation, schema, data flows, scoring, provider integrations, static/PWA behavior, Supabase/RLS impact, migrations, automation, and technical sequencing. Use when a task asks how to build, refactor, generalize, integrate, test, or safely ship FriendlyBet code.

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。

Author FE spec files, update indexes/tracker, run deepening and ambiguity gates, and enforce navigation completeness before plan-phase handoff

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。

Validate sequencing and cross-layer readiness before phase slicing, including coverage and consistency hard gates

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。

Assess pipeline layer state, detect prerequisite blockers, classify audit status, and persist remediation plan

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。

Derive slices from specs, order by dependencies, write acceptance criteria with citations, and finalize phase/progress artifacts

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。

Manage database migrations and schema versioning. Use when planning migrations, version control, rollback strategies, or data transformations for any database paradigm.

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。

Create decomposition directory structure, IA shard skeletons, and all required layer indexes from approved decomposition plan

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。

Design database schemas with normalization, relationships, and constraints. Use when creating new database schemas, designing tables, or planning data models for any database paradigm.

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。