362 件 ・ 関連度順
概要と使いどころ
Automate setup, configuration, execution, monitoring, and troubleshooting of AutoResearchClaw — the 23-stage autonomous research pipeline that generates conference-grade papers. Use when the user mentions ResearchClaw, wants to write a research paper autonomously, needs to set up or debug the pipeline, or says research paper, autonomous research, or paper generation.
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。
AutoResearchClaw 23 阶段自主研究管线的中文技能。自动设置、交互式配置、执行监控和故障诊断。当用户提到 ResearchClaw、自主研究、论文生成、研究管线时使用。
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。
Guide a brand-new SearchCLI/vs user from first-time usage questions to sign-up, purchase of Viking AI Search, AK/SK setup, and a working authenticated CLI. Use when the user says they downloaded or installed SearchCLI/vs and asks how to use it, how to start, sign up, buy, or onboard.
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, test, or convert Terraform Policy files (.policy.hcl, .policytest.hcl, Sentinel→tfpolicy). Triggers: policy.hcl, policytest, convert sentinel, tfpolicy, write a policy.
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/create/scaffold Terragrunt HCL files — root.hcl, terragrunt.hcl, child modules, stacks, multi-env layouts.
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 Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET", "SearchClient", "SearchIndexClient", "vector search C#", "semantic search .NET", "hybrid search", "Azure.Search.Documents".
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。
Shared SearchCLI setup: install, authenticate, run doctor, and verify the local environment.
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。
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.
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, lint, audit, or check Terragrunt .hcl/terragrunt.hcl files, stacks, modules, compliance.
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。
Provision and manage cloud infrastructure using Terraform with HCL modules, remote state backends, workspaces, and plan/apply workflow. Implement infrastructure as code patterns with variable management, output values, and state locking for team collaboration. Use when provisioning new cloud infrastructure, migrating from ClickOps or CloudFormation to declarative IaC, managing multi-environment infrastructure, versioning infrastructure changes alongside application code, or enforcing standards through reusable modules.
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。
Better Auth (TypeScript 認証フレームワーク) リファレンス。 認証・認可、サインアップ・サインイン、セッション管理、OAuth、パスキー、 二要素認証 (TOTP)、プラグイン (organization, admin, magic-link, anonymous 等)。 betterAuth, createAuthClient, signUp, signIn, getSession。 フレームワーク統合 (Next.js, Nuxt, SvelteKit, Hono, Express, Expo, TanStack 等)。
使用 hcloud CLI 操作 Hetzner Cloud。当用户提到 Hetzner、hcloud、Hetzner Cloud、Hetzner VPS 等时触发此技能。
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。
Cloud Workerで使うツールを事前に組み込んだイメージを作成・選択し、起動時間と稼働を検証。失敗時の切り戻しや、承認後の旧イメージ削除も扱います。
Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).
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。
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Boundaries: - Only use for GCP-specific cloud infrastructure. - Only use for Terraform coding within the ADC 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。
Look up people's LinkedIn profiles by URL with Datacircle, no markup, and manage the Datacircle balance and files. Use when the user gives LinkedIn profile URLs to enrich or research (a candidate, a customer, a person in their CRM), asks what their Datacircle balance is, or wants the co-op flat file.
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 the user explicitly requests research with Baizhi Agent Toolkit. Discover the connected MCP tools and their current schemas, agree a request budget, and produce a sourced result without exposing credentials.
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 the user asks about a US-listed company or the US market and wants sourced numbers, such as SEC filings and what a 10-K or 10-Q says, income statements and balance sheets, earnings call transcripts, insider or congressional trades, 13F institutional holders, short interest, stock prices, option chains, stock screens or macroeconomic indicators. Calls the Equibles MCP server.
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。
Data-backed email marketing skill for AI agents. Use when building or running email automation, driving an ESP from an agent (MCP/connectors), diagnosing deliverability, writing or de-slopping email copy, directing AI email design, choosing a platform, or pulling benchmarks. Covers flows, segmentation, compliance, cold email, WhatsApp, SMS and RCS, and 19 industry playbooks.
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 developer behavioral profile and create Claude-discoverable 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。
Gather phase context through adaptive questioning before planning. Use --all to skip area selection and discuss all gray areas interactively. Use --auto to skip interactive questions (Claude picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --power for bulk question generation into a file-based UI (answer at your own pace).
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。
Capture a forward-looking idea with trigger conditions — surfaces automatically at the right milestone
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。
Diagnose planning directory health and optionally repair issues
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 Claude'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。