その他のスキル

Generate a session report with token usage estimates, work summary, and outcomes

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。

Resume work from previous session with full context restoration

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。

Generate a comprehensive project summary from milestone artifacts for team onboarding and 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。

List active GSD workspaces and their status

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。

Switch model profile for GSD agents (quality/balanced/budget/inherit)

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。

Interactive command center for managing multiple phases from one terminal

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。

Surface the agent's assumptions about a phase approach before 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。

Measure Wado's performance or the size of the Wasm it generates, and refresh the benchmark/ and wasm-size/ README files. Use for any benchmarking or size-measurement request, whichever benchmark it names.

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。

The rules for opening a PR you must read before creating or editing any pull request.

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。

Locate and sync the reference specs and runtimes vendored under vendor/ — the Wasm, WASI P3, and Component Model specs, and the wasm-tools and wasmtime sources. Use whenever an answer should come from one of those sources rather than memory, and whenever vendor/ is missing or stale.

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。

根据循环训练日与营养目标推荐麦当劳搭配，比较套餐价格和营养，记录实际摄入与消费，生成月末年末吃麦网页及分享长图。用户要按计划吃麦、顺延训练日、查账本或回顾吃麦与健身目标时使用。

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。

Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.

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 and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistakes.

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。

Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a new system or migration.

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。

Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.

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。

Produces production-ready Product Requirements Documents (PRDs) for software systems and AI-powered features, with clear problem framing, measurable outcomes, scoped functionality, testable requirements, and explicit risks. Use when the user wants to write a PRD, define requirements, plan a feature, or turn a vague product idea into an implementation-ready specification.

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。

Produces an evidence-backed go/no-go recommendation: exit criteria status, open-defect risk profile, coverage against risk, environment parity, rollback readiness, and the residual risk stated plainly. Use when preparing a release sign-off, when someone asks whether a build is ready to ship, or when a decision to release is being made on impressions rather than evidence.

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。

Packages repository skills as installable Copilot plugins: marketplace registration, `plugin.json` manifests, generated skill copies, and the sync check CI enforces. Use when bundling one or more skills for installation, when adding a plugin to the marketplace, or when `npm run lint` reports that a plugin copy has drifted from its source skill.

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。

Transforms rough tester notes, screenshots, console output, or observed behavior into reproducible defect reports with severity, evidence, and follow-up guidance. Use when logging bugs, triaging intermittent issues, or rewriting vague defect notes into developer-ready reports.

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。

Turns point-in-time quality readings into a trend: archives each run, diffs against the previous one, and reports direction per metric - practices newly present or regressed, coverage movement, flake rate, waivers expiring, eval scores - using limit/current/goal framing. Use when quality reporting is a series of disconnected snapshots, when a team needs to show improvement over a quarter, when a number is quoted with no baseline, or when a regression in the quality system itself should be visible.

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 with reverse-engineer-anything (REA) to specify or rebuild software and assess performance improvements. Infer the target and intent from natural language; scale from whole apps to selected features, functions, interfaces, or formats. Ordinary REA explanations, comparisons, and diagnostics do not require a reconstruction blueprint.

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。

Analyzes a Dependabot PR to determine what actually changed in each bumped package and whether those changes affect this repo. Reports changed APIs/methods, which doc pages use them, and the realistic probability of any visible impact on the docs site.

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 after completed recursive-mode runs accumulate to extract durable experiential memory into `/.recursive/memory/`, then load it for later runs through the canonical loader.

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。

Transform technical jargon into clear explanations using before/after comparisons, metaphors, and practical context

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。