「rds」の検索結果

Gitのコミット履歴から、利用者に伝わる更新履歴やリリースノートを作るスキル。新機能・改善・修正などに分類し、開発者向けの記述を平易にまとめます。

• 新バージョンのリリースノート作成
• 週次・月次の製品更新をまとめたいとき
• アプリストア向けの更新説明作成

求人票と経歴を照らし合わせ、応募先に合う経験・スキル・実績が伝わる応募書類を作成。採用管理システム向けの表現や構成、改善点も提案するスキル。

• 特定の求人に応募書類を合わせたいとき
• 転職先に生かせる経験を強調したいとき
• 採用管理システム向けに表現を整えたいとき

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

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 run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the 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。

Plans and creates an AI team for a goal, with roles, a run that carries a unit budget, and bounded tasks. Use when the user asks to start, set up or staff a team, or to split a larger goal across roles. Records coordination state only; nothing is executed.

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。

Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)

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 and flag personally identifiable information (PII) in text, code, and configurations. Use before committing code, writing logs, storing data, or sending model responses that might contain emails, phone numbers, SSNs, API keys, or passwords.

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。

Check code quality and change risk with ruflo's shipped analysis commands (analyze diff, analyze complexity, analyze code), and run or extend ruflo's own CI regression guards. Use when assessing a change's risk, finding complexity hot spots, or adding a regression guard to ruflo. The truth-scoring and auto-rollback commands described later in this file are design notes, not shipped CLI commands.

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 auditing account settings pages, privacy dashboards, or API routes to verify that a complete data deletion path exists for users.

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 reviewing article images, cards, galleries, or any component rendered at multiple sizes across breakpoints. Check both the markup and the CSS layout because an incorrect `sizes` attribute can negate a perfectly good `srcset`.

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 reviewing mobile-first layouts, tablet experiences, fullscreen flows, forms, dashboards, or media interfaces. Check rendered behavior in both portrait and landscape and separate genuine layout constraints from unnecessary orientation assumptions.

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 reviewing dashboards, admin tables, search results, or feeds with many repeated items. Confirm the bottleneck is DOM or rendering cost before introducing virtualization because small lists usually do not need the added complexity.

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 reviewing long pages, dashboards, or content feeds with expensive offscreen modules. Balance early enough loading for smooth scrolling against keeping the initial route light.

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。

ACTIVATES ONLY on an explicit user request for the ulw-plan workflow: the user themselves saying ulw-plan, ulw plan, /skill:ulw-plan, or asking in their own words for a work plan before coding. NEVER self-activates: a bare ulw/ultrawork run, an agent-side routing decision, or reading this file is not a request, and the plan-gated reviewers (metis/momus) stay locked without a user request plus a written .omo/plans plan file. Explore-first planning consultant (Prometheus) that grounds in the codebase, asks only the forks exploration cannot resolve - or researches them to best practice when the intent is fuzzy - waits for explicit approval, then writes ONE decision-complete work plan a worker executes with zero further interview. Triggers: ulw-plan, ulw plan, plan this, make a plan, plan before coding, interview me, break this down, start planning, plan mode.

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。

Find compromised passwords in the user's personal accounts, prepare official reset flows, hand over before the user enters and submits each new credential, and help verify the change and authorized password-manager save.

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。

Set up and operate a Shopify store with Shopify's official MCP server (the installed `shopify` command, NOT the npm Shopify CLI). Use when someone wants to sell online, start a store or business, or manage a Shopify store — even if they do not say "Shopify": "sell candles online", "open my first store", "add products", "check my orders", "set inventory", "make a discount", "show my sales". Before connection it can show relevant mock.shop sample catalogs, suggest business names, check domains, search shopify.dev, and validate GraphQL. The connect flow can create an account and store for a new user. Keywords: Shopify MCP, ecommerce, sample products, starter catalog, ShopifyQL, first store, create product.

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。

Inspect database-backed Muse records for diagnosis and cross-table tracing when purpose-built product tools do not expose the needed state.

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。

Explore many ideas with wireframes and storyboards

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 to connect HealthEx and ask questions about your medications, lab results, and other health records.

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。

Make a "magic moment" video — turn a creator's talking-head recording into a vertical video preserving the source narration where their Muse story replays through artifacts and brief exchanges synced to their voiceover — bubbles, typing, emoji reactions, real widgets and pages, message sounds, closing Muse lockup finisher. Use whenever a user with talking-head or selfie footage wants it turned into a shareable clip of their Muse story — "make a magic moment", "turn this video of me into...", "add the chat over my video", "retell what Muse did for me" — even if they never say the words "magic moment".

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。

Focused interactive tutor for the Reverse Engineering path in AI Engineering from Scratch. Start or resume this route when a learner wants to read a compiled program: file formats, disassembly, control flow, lifting, evidence, proof, calling conventions, compiler idioms, linking, types, debugging, bytecode, diffing, symbolic execution, and AI-assisted analysis. Teaches one lesson per invocation and records evidence in REVERSE-ENGINEERING-LEARNING.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。

Interactive lesson tutor for the AI Engineering from Scratch curriculum. Reads LEARNING.md, fetches the next lesson, teaches it section by section in the terminal, quizzes at the end, and records progress. Works cloned or entirely over raw.githubusercontent.com — no setup required. Trigger phrases: "next lesson", "teach me", "continue the course", "let's learn", "resume learning"

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。

Focused interactive tutor for the Model Context Protocol (MCP) path in AI Engineering from Scratch. Start or resume this route when a learner wants to build, secure, debug, verify, or operate MCP clients, servers, transports, gateways, registries, or conformance gates. Teaches one lesson per invocation and records wire evidence in MCP-LEARNING.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。

Focused interactive tutor for the Agent Skills Engineering path in AI Engineering from Scratch. Start or resume this route when a learner wants to create, discover, invoke, secure, evaluate, package, or port Agent Skills. Teaches one lesson per invocation and records evidence in AGENT-SKILLS-LEARNING.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。