5,040 件 ・ 関連度順
概要と使いどころ
Self-hosted auth for TypeScript/Cloudflare Workers with social auth, 2FA, passkeys, organizations, RBAC, and 15+ plugins. Requires Drizzle ORM or Kysely for D1 (no direct adapter). Self-hosted alternative to Clerk/Auth.js. Use when: self-hosting auth on D1, building OAuth provider, multi-tenant SaaS, or troubleshooting D1 adapter errors, session caching, rate limits, Expo crashes, additionalFields bugs.
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 the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation", "S3 bucket testing", "metadata SSRF", "Lambda exploitation", or needs guidance on Amazon Web Services security assessment.
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。
Microsoft Entra ID (Azure AD) authentication for React SPAs with MSAL.js and Cloudflare Workers JWT validation using jose library. Full-stack pattern with Authorization Code Flow + PKCE. Prevents 8 documented errors. Use when: implementing Microsoft SSO, troubleshooting AADSTS50058 loops, AADSTS700084 refresh token errors, React Router redirects, setActiveAccount re-render issues, or validating Entra ID tokens in Workers.
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。
Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases. Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors.
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。
Score and qualify leads using customizable criteria. Prioritize your pipeline by fit, intent, and engagement to focus on deals most likely to close.
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。
Complete DevOps & Platform Engineering system. CI/CD pipelines, infrastructure as code, container orchestration, observability, incident response, and SRE practices — all platforms, all clouds.
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 LinkedIn outreach leads from Google Sheets — search by name, read live conversation threads, update status, and send contextual follow-up messages. Use after linkedin-dm to move leads through the pipeline (Sent → Replied → Call Scheduled → Demo Done → Closed).
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。
Control and manage VirtualBox virtual machines directly from openclaw. Start, stop, snapshot, clone, configure and monitor VMs using VBoxManage CLI. Supports full lifecycle management including VM creation, network configuration, shared folders, and performance monitoring.
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。
Configure AIsa as a first-class model provider for OpenClaw, enabling production access to major Chinese AI models (Qwen, DeepSeek, Kimi K2.5, Doubao) through official partnerships with Alibaba Cloud, BytePlus, and Moonshot. Use this skill when the user wants to set up Chinese AI models, configure AIsa API access, compare pricing between AIsa and other providers (OpenRouter, Bailian), switch between Qwen/DeepSeek/Kimi models, or troubleshoot AIsa provider configuration in OpenClaw. Also use when the user mentions AISA_API_KEY, asks about Chinese LLM pricing, Kimi K2.5 setup, or needs help with Qwen Key Account setup.
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。
使用 scw CLI 操作 Scaleway。当用户提到 Scaleway、scw、Scaleway 云、Scaleway 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。
使用 qshell CLI 操作七牛云。当用户提到七牛、七牛云、Qiniu、Kodo、七牛对象存储 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。
使用 ksyun CLI 操作金山云。当用户提到金山云、KSYUN、KS3、金山云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。
使用 upx CLI 操作又拍云。当用户提到又拍云、Upyun、UPYUN、又拍云存储 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。
仅使用 AWS CLI 操作 AWS。Agent 直接执行 aws 命令（无需脚本）。仅在用户提到 AWS、S3、EC2、Lambda 等时激活。
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。
仅使用 Vultr CLI（vultr-cli）操作 Vultr 云。Agent 直接执行 vultr-cli 命令（无需脚本）。仅在用户提到 Vultr、VPS、实例、对象存储等时激活。
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。
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
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。
Requires OFOX_API_KEY — create one at https://app.ofox.ai, plus two images you already have, a start frame and an end frame. Animates the motion between them as one video — both frames go into a single Ofox video job, the clip opens on A, closes on B, and the model fills the middle. Use when a user has two stills and wants the in-between animated, e.g. "here is the before and the after, animate the transition", "make a video that starts on this image and ends on that one", "tween these two frames", or "move the object from where it sits in the first picture to where it sits in the second". Do not use when only one image exists (animating a single frame is seedance-ad-creative or seedance-product-video), or when the pair is two states of a user interface (see product-demo).
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。
Requires OFOX_API_KEY — create one at https://app.ofox.ai. Generate a cinematic brand/product ad clip from a product description or photo using the Ofox video API (Seedance 2.5) — runs a short creative brief (product photo, brand tone, camera move, aspect ratio) when the request leaves them open, writes a timestamped shot-craft prompt (hook, showcase, slow-motion climax, hero close), shows a cost estimate, then calls ofox-video-core to submit, poll, download, and report the real cost. Use when a user asks for a commercial-style product or brand video, e.g. "give this perfume bottle a 10-second cinematic brand ad", "make a product ad for our new sneaker", "turn this product photo into a hero video for the landing page", or "I need a 15-second brand video with a slow orbit around the bottle". Do not use for dialogue-driven scenes with people talking (see seedance-short-drama).
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。
Analyze closed deals and lost opportunities for patterns
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 you need to visually interact with a GUI — test buttons, fill forms, verify visual layouts, fuzz web pages, automate user flows, take screenshots, or perform end-to-end QA on any application. Works on cloud VMs, Docker containers, local machines, and sandboxes. Install: pip install cua.
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 polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.
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 OpenMeld when a task needs Organization knowledge or Skills, Center Agent help, shared Spaces or Files, another Agent or computer, or scheduled cloud work. Also use for OpenMeld setup and Wake replies.
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。
Gates whether a new test should exist and forces it to be efficient, protecting CI from low-value test bloat. Use before any change to what a pytest, Jest, or Playwright test asserts or sets up, down to one fixture or one assertion added to an existing block. Front-loads the value bar (every test must catch a realistic regression no existing test already catches; extend the nearest existing test before writing a new standalone one; test behavior through the public interface, not implementation details; collapse near-duplicates into parameterized cases) and the efficiency bar (deterministic, isolated, fast; pick the cheapest test level; Django TestCase over TransactionTestCase; no sleeps, no real network; no time bombs from absolute dates left to age against the real clock; no database a test never uses). Includes a "don't write it" decision tree. For fixing an existing flaky test use `/fixing-flaky-tests`; after this gate says a Playwright test is warranted, use `/playwright-test` for mechanics.
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 closing out a feature, tidying developing/ documentation, or asked to check docs health — runs the lifecycle linter and applies the README deletion rules.
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。