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概要と使いどころ
Use when semgrep, osv-scanner, github-security or snyk MCP tools appear in your tool list - what each server is for, how to call it safely, what data leaves the machine, and how its findings are triaged
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 tools from the jupyter, duckdb, dbt, mlflow, huggingface or postgres MCP servers appear in your tool list, or before reaching for one — what each is good for, what it can damage, and the CLI fallback when it is not connected
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。
Sub-skill de agent-ready-cloudflare: Implement WebMCP
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。
Audit, score, and compare repositories containing portable Agent Plugins against the official Agent Plugins specification. Use when asked to review a plugin repo, check plugin.json or mcp.json conformance, assess bundled skills and MCP servers, produce an evidence-cited 0–100 plugin scorecard, identify release blockers, or compare two agent plugins side by side.
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。
Sub-skill de agent-ready-cloudflare: Implement MCP Server Card
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。
Audit and improve website readiness for AI agents using the Cloudflare "Is It Agent Ready?" scanner (isitagentready.com). Covers scanning via API, interpreting results, generating implementation prompts, and fixing every check. Use when the user mentions "agent ready", "isitagentready", "AI agent scan", "agent readiness", "agent-ready score", "MCP server card", "agent skills index", "markdown for agents", "content signals", "web bot auth", "agent discovery", "RFC 9727", "RFC 8288", "RFC 9728", "SEP-1649", "WebMCP", "ARD", "ai-catalog", "x402", "UCP", "ACP", or wants to make a website discoverable and usable by AI agents.
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 a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki. Requires a monitoring MCP (recommended: Datadog) and a wiki MCP (Confluence or Notion).
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 for web search and content scraping via DuckDuckGo 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。
Configures and hardens Claude Code and Codex MCP servers. Use when connecting databases, APIs, SaaS, building servers, or serving a clearance-filtered knowledge base.
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。
Official parent skill for analyzing HitKeep data through HitKeep MCP and official docs. Use for broad traffic, event, ecommerce, Web Vitals, AI visibility, Search Console, opportunity, tracking-health, MCP setup, or analytics-surface questions; use a narrower HitKeep analytics skill when the task clearly matches one.
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。
Drive Blender from natural language: create or edit 3D models, materials, lighting, cameras, renders, animation, and exports through Blender MCP. Route complete scenes to domain skills and wireframe/reference requests to reconstruction skills. Also use for 3D requests that do not name Blender. Requires a configured official or ahujasid MCP backend.
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。
Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain.
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。
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.
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。
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
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 how to build with You.com. Use when adding web search, content extraction, or research to an app or agent: finds the right You.com API, MCP server, SDK, or docs path (for example Vercel AI SDK, LangChain, Python SDK, or REST) through the `you-discover` tool and Docs MCP.
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 and best practices for working with Neon Serverless Postgres. Covers setup, connection methods, branching, autoscaling, scale-to-zero, read replicas, connection pooling, Neon Auth, and the Neon CLI, MCP server, REST API, TypeScript SDK, and Python SDK. Use when users ask about "Neon setup", "connect to Neon", "Neon project", "DATABASE_URL", "serverless Postgres", "Neon CLI", "neon", "Neon MCP", "Neon Auth", "@neondatabase/serverless", "@neondatabase/neon-js", "scale to zero", "Neon autoscaling", "Neon read replica", or "Neon connection pooling".
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。
Advisory wrap for tool results from untrusted external surfaces. Appends `[QUARANTINE-NOTICE]` to next-turn context after `mcp__*`, `WebFetch`, and `Read` of `**/uploads/**` so prior tool output is treated as data — not directives. Use when the session ingests MCP user-content (Zendesk, Intercom, support tickets), fetched HTML, or operator-uploaded files. Hook fires AFTER ingestion — advisory, not structural.
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。
Query the Semantic Scholar academic corpus through AI2's Asta MCP server: keyword or title search with venue and date filters, who-cited-a-paper traversal, author profiles and publications, DOI/arXiv/PMID lookup, and ~500-word full-text snippets for evidence, with citation counts and h-index. Use when the user asks for papers on a topic, who cited a paper, an author's work, recent literature since a date, or a venue-scoped paper list. Requires the Asta 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。
chrome-devtools-mcp launcher — a single bash script that resolves Playwright's bundled Chrome-for-Testing and Node.js directly through Nix. See repo README for usage, override mechanisms, and version compatibility.
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。
MCP skill for IGW (InsurGateway) error management — list, analyze, report, and manage insurance integration errors across test and production environments. Invoke whenever user asks about IGW errors, insurance gateway issues, success rates, or error 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。
Verifies provider credentials via NPI MCP, searches Medicare coverage policies via CMS Coverage MCP, and maps clinical evidence to policy criteria with MET/NOT_MET/INSUFFICIENT assessment, per-criterion confidence scoring, and documentation gap analysis.
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。
Expert guide for integrating Large Language Models (LLMs), Model Context Protocol (MCP v1.x), hybrid reasoning models, RAG architecture, vector databases, and AI agents / Panduan ahli untuk integrasi LLM, Model Context Protocol (MCP), model hybrid reasoning, arsitektur RAG, vector database, dan agen AI.
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。
店長の判断基準で、品目ごとの発注案（数量と理由の一言）を作る単品管理スキル。天気・周辺イベント・売れ行き・在庫・廃棄・欠品を Dataverse から読み、今日の夕方便と明日の朝便に分けて提案し、店内調理品は仕込み量で提案する。廃棄が続く商品・欠品が続く商品の相談にも同じ判断基準で答える。答えにはチャットのグラフ（Render UI。使えないときは文字のグラフ）と表、保存・印刷・共有用の HTML レポートを付ける。 Use when ユーザーが「今日の発注案を作って」「発注どうしよう」「天気とイベントを見て発注を考えて」「この商品、廃棄が続いている。どうする？」「欠品が多い商品は？」と依頼したとき。 Dataverse MCP コネクタ（describe / read_query）を使う。発注の登録はしない（order-execute が行う）。
メールと Teams に届いた本部通達を読み、自店でやること・期限・担当・売場変更の段取りに分けて一覧にするスキル。チャットにグラフ（Render UI）と一覧、整理の考え方を説明した HTML レポートも作る。必要なら To Do / Planner への登録案も作る（登録は承認後）。 Use when ユーザーが「本部の通達を整理して」「今日やることをまとめて」「通達から売場変更の段取りを作って」と依頼したとき。 Microsoft 365 の標準機能（メール・Teams・To Do / Planner）を使う。Dataverse MCP コネクタ（describe / read_query）は「今日」の日付と、通達に関係する在庫を確かめるときだけ読み取りで使う。