「init」の検索結果

Initialize the UniKit framework in a project. Scans the current project to detect the engine and real tech stack, then generates the base framework documents that give AI agents context about the project — the resolved project description, the architecture doc, AGENTS.md, and the user-editable .unikit/config.yaml. This is the one-time, whole-project setup run before any other unikit skill. Use whenever the user wants to initialize, set up, or onboard the framework, e.g. "initialize unikit", "init the framework", "set up unikit", "set up the project", "configure AI context", "scan my project and set it up", "bootstrap the project". It also actualizes the config of a project already set up — say "update the config", "add missing settings", "actualize configuration", "fix my config".

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。

[Utilities] Use when initializing or re-evaluating portable project context: project-config, project-reference docs, CLAUDE.md, AGENTS.md, universal agent rules, hookless setup. Triggers on: project init, init project, missing project-config, missing project docs, missing CLAUDE.md, missing AGENTS.md.

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。

工程ごとの完了判定、品質ゲート、証跡、標準検証コマンド、例外運用を設計するスキル。 実装完了・テスト実施・品質確認完了・出荷可能を分離し、再利用可能な gate matrix を作る。 「全OK」「完了」などの曖昧な完了表現を排除し、証跡に基づく退出条件を定義する。 Use when defining Definition of Done, quality gates, exit criteria, release readiness gates, evidence requirements, exception handling, or standardized verification commands. Covers: definition of done, quality gate, exit criteria, release readiness, 完了判定, 品質ゲート. Distinct from project-completeness-scorer (which scores) -- this skill designs the gates and criteria themselves.

Generate Zod v4 TypeScript schemas from OpenAPI (openapi.yaml / openapi.json) definitions. This skill exists because npm packages like openapi-zod-client do not support Zod v4 — Claude reads the YAML/JSON directly and writes the conversion. Use this skill whenever the user wants to convert OpenAPI/Swagger definitions to Zod schemas, generate TypeScript types from API specs, or create validation schemas from openapi.yaml. Trigger on keywords: 'openapi', 'swagger', 'zod', 'API schema', 'yaml to types', 'schema generation', 'validation generation'. OpenAPI定義からZodスキーマを生成するスキル。openapi.yamlから型を作りたい、APIスキーマをTypeScriptの型にしたい、Zodバリデーションを作りたい、といったリクエストで使う。「openapi」「swagger」「zod」「APIスキーマ」「yamlから型」「スキーマ生成」「バリデーション生成」などのキーワードが出たら積極的にこのスキルを使うこと。

Registers a custom WooCommerce shipping method with explicit control over which fields appear in the per-zone settings modal — extend WC_Shipping_Method, declare your fields in init_form_fields (and ONLY those fields, no unset / DOM hacks / CSS hides), set the $supports array to control whether the modal opens (omit 'instance-settings' to suppress it entirely), register via the woocommerce_shipping_methods filter, load the class on woocommerce_shipping_init. Corrects the "this is React, removing fields is hard" misconception — the zone-method modal is Backbone with a PHP-rendered settings_html string; the field list is wholly PHP-controlled. Use when scaffolding a shipping method or when you want a feature-flag-only modal without WC defaults. Triggers on WC_Shipping_Method, woocommerce_shipping_methods, woocommerce_shipping_init, init_form_fields with shipping context, $supports shipping-zones, calculate_shipping, add_rate, or "remove default fields from shipping method".

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 a list of KPIs or metrics into a DRAFT definition sheet: one row per KPI with the name as stated, formula quoted from a source, source system, owner, refresh cadence, unit, filters and known caveats, with UNKNOWN in every cell no source fills and a gap list grouped by data owner. Never composes a formula, sets a target or names an owner the sources do not state. Use when the user asks to "define these KPIs", "build a metrics definition sheet", "document how each KPI is calculated", "which of our KPIs have no owner or formula" or "reconcile the two KPI lists". Do not use for the weekly numbers report, use kpi-weekly-report-writer instead; for field-level definitions of a table, use data-dictionary-builder; for logging a wrong figure as a defect, use data-quality-issue-log. Drafts for human review; never approves, authorises or signs off.

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。

既存プロジェクトをサブエージェントで並列分析し、 精度の高い overview.md を生成する。init-spec の前処理として使う。 「既存プロジェクトを分析して」「コードベースを理解して設計書を作って」 「overview.mdを作って」などのリクエストで使用する。 ファイル数が200を超えるプロジェクトで特に有効。 200以下の場合は単一エージェントで全体を読む方が精度が高いため、 init-spec をそのまま実行することを提案する。

プロジェクト（特にこのテンプレートから始める新規プロジェクト）にClaude Code用の.claude/環境を対話形式で段階的にセットアップする。settings.jsonの権限・hooks設定、必要に応じたカスタムskill・command・subagentの雛形作成、CLAUDE.mdのビルド/実行/テストコマンド欄の穴埋めを行う。「セットアップして」「環境構築して」「init」「このプロジェクトでClaude Codeを使えるようにして」「開発を始めたいので準備して」といった依頼で積極的に使うこと。エンジニアが常駐しない・少ない組織で「事故らないようにしたい」「危険な操作を防ぎたい」「lint/testやセキュリティレビューが誰もチェックしないまま放置されるのを防ぎたい」といった要望がある場合も、権限・hook・レビュー体制を通じた安全網の構築としてこのスキルが対応する。既存の/initスキルはCLAUDE.mdのコードベースドキュメント生成に特化しているが、権限設定やskill/command/agentの追加が絡む場合は必ずこちらを使う。

Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app

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。

Claudeの初回編集やファイル作成をいったん止め、呼び出し元・データ構造・依頼内容の確認を促すフックを設定し、変更前の調査を組み込むスキル。

• 編集前に影響するモジュールを調べたいとき
• 変更前にデータ構造を確認したいとき
• テストや生成ファイルの除外設定

Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-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。

Initialize a new Ruflo project with MCP tools, hooks, and agent configuration. Use when setting up Ruflo in a fresh repo, or when the user says "init ruflo", "set up ruflo", or asks how to bootstrap the MCP server, hooks, and agent configs from scratch.

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 and manage tickets — initiatives, epics, stories, bugs. Use when the user says "create a new initiative", "slice this initiative", "split this epic up", "break this into stories", "incept this epic", "make a ticket", "refine this ticket", "what's ready", "status of a story", "publish ticket changes", "validate these tickets", "set up the ticket store".

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。

Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.

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。

Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an OpenKnowledge project with collaborators, asks whether OpenKnowledge supports a particular capability, or asks how `ok init` / `ok cowork` / OK Desktop set up a project. Do NOT load to perform OpenKnowledge reads/writes — the runtime guidance for editing markdown inside an initialized OK project ships as a separate project-local skill installed into each detected agent's skills dir (for example `.claude/skills/open-knowledge/`) whenever `ok init` runs.

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。

Convene an AI executive board of directors (CEO, CFO, COO, CLO, CISO sub-agent personas) to vet a business idea, product concept, new service offering, M&A target, or operational initiative — and deliver an integrated board memo with a Go/No-Go recommendation. Use this skill whenever the user wants an idea vetted, stress-tested, or reviewed from multiple executive perspectives; asks to "present this to the board," "run this by the boardroom," "vet this idea," "poke holes in this plan," or "prep me for a board meeting"; or shares a business plan, pitch, proposal, or initiative document and asks for structured executive feedback. Also trigger when the user asks for a Go/No-Go decision, risk review across finance/legal/security/operations, or preparation for presenting an initiative to real leadership.

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。

NOTE: molecule and target inputs and your NGC_API_KEY are transmitted to external NVIDIA-hosted API endpoints on every call. Use local NIM containers for confidential or proprietary data. Run a complete computational drug discovery pipeline using NVIDIA BioNeMo NIMs: generate drug-like molecules with GenMol, dock them to a protein target with DiffDock, then predict binding affinity with Boltz2. Use this skill whenever the user wants to generate and screen small molecule drug candidates, perform hit discovery, optimize leads against a protein target, or do virtual screening combining molecule generation, docking, and affinity prediction. Triggers on: drug discovery pipeline, hit discovery, lead optimization, virtual screening, molecule generation, molecular docking, binding affinity, GenMol, DiffDock, Boltz2, SMILES, SAFE notation, NIM microservice. This is a multi-step pipeline composing three BioNeMo NIMs.

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 asked to compare two annual reports, put two companies from the same sector side by side, or check whether two companies' adjusted numbers mean the same thing. Takes two uploaded annual reports from one sector and compares them on five ratios computed with identical definitions from audited figures, flagging every place the companies define a metric differently. Produces a page-referenced comparison table, a definitions-differ section (adjusted vs statutory, inside vs outside the audited statements), and three questions to ask before believing either company's highlights. Educational, not financial advice.

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。

Manages Fabric Dataflow Gen2 items, including creation, M editing, connections, output destinations, getDefinition and updateDefinition inspection, executeQuery, refresh history, and Gen1-to-Gen2 save-as upgrades via saveAsNativeArtifact. Use for Dataflow items or Power Query M definitions. For pipeline JSON use pipeline-migration; for Spark or Warehouse transformations use their own skills.

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。

在当前目录下初始化记忆系统，生成 CLAUDE.md（可选 AGENT.md 给 Cursor 用）、MEMORY.md 和 memory/ 目录。当用户说"初始化记忆"、"搭建记忆"、"memory init"、"/memory-init"时触发。

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。

指导如何通过自定义注解（如@Unicom）标识Dubbo接口，利用BeanDefinitionRegistryPostProcessor在启动时扫描并动态注册ReferenceBean，实现RPC调用的封装。

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。

Initialize a Git repository with an initial commit

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。

Guides the creation of agile epics with comprehensive definition including business value, success criteria, and breakdown into user stories. Use when the user wants to create an agile epic, define large bodies of work, break down features into user stories, or document strategic initiatives. This should trigger for requests such as Create an agile epic; Write an epic; I need to create an epic; Define an epic; Epic definition. Part of Plinth Toolkit

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。

This skill should be used when initializing a new Firebase project with proven architecture. Triggers on "new firebase project", "initialize firebase", "firebase init", "set up firebase", "create firebase app", "start firebase project". Guides through CLI setup, architecture choices, and emulator configuration.

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。