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概要と使いどころ
Pre-flight gas and balance check before deploying a warp route. Reads a Linear ticket, checks deployer wallet native gas balances per chain (warn if less than $10), and checks collateral token balance (need ~$1 for testing).
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 token balances for each leg of a warp route. Shows collateral locked (for collateral/native legs) and total circulating supply (for synthetic legs). Use when you want to inspect the current state of a warp route's liquidity.
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 Claude Code to read or write Odysseus data (todos, email, calendar, memory, documents) or to launch/monitor/stop a Cookbook model-serve task through the scoped Claude Agent API. Requires ODYSSEUS_URL and ODYSSEUS_API_TOKEN.
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 Codex to read or write Odysseus data (todos, email, calendar, memory, documents) or to launch/monitor/stop a Cookbook model-serve task through the scoped Codex Agent API. Requires ODYSSEUS_URL and ODYSSEUS_API_TOKEN.
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 OpenClaw frontend code and rendered interfaces for Carapace drift, token misuse, primitive reimplementation, accessibility problems, responsive defects, and off-brand copy. Use for design reviews, compliance checks, or scheduled audit-and-fix workflows.
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。
Route OpenClaw design work to canonical brand, Carapace product-interface, marketing-page, or design-audit guidance. Use when a task touches OpenClaw visual identity, shared CSS tokens, product UI, public web pages, or Carapace 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。
Compatibility alias for existing OpenClaw installations that now applies Carapace semantic tokens, themes, shared CSS foundations, consumer adapters, and established local primitives.
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。
Visual designer — brand identity, color systems, typography, design tokens, and UI design. Use when asked to "design our brand", "pick colors and fonts", "build a design system", or "design a logo".
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 AI spend — per-model cost breakdown, top consumers, waste identification, optimization levers. Use when asked "why is our AI bill so high", "audit LLM spend", or "where is our token waste".
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 and scope a project — discovery, challenge assumptions, present XS-XXL depth options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.
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 scaling test-time compute, dynamic reasoning token allocation (Gemini 4 Pro, Claude 5.5, GPT Astra 6), Monte Carlo Tree Search (MCTS), and Process Reward Models / Panduan ahli penskalaan komputasi waktu uji (test-time compute), alokasi dinamis budget penalaran, MCTS, dan Process Reward Models.
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 designing, building, and maintaining scalable UI design systems with design tokens, headless primitives, Material Design 3 (M3), Tailwind v4 @theme, and WCAG 2.2 accessibility.
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。
Implements ASP.NET Core rate limiting middleware for API protection. Covers fixed window, sliding window, token bucket, and concurrency limiters with custom policies.
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。
Conventions and APIs for the offload-project/laravel-invite-only package — polymorphic invitations, token acceptance, bulk invites, scheduled reminders, and event-driven hooks.
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。
麦麦活动雷达——查「附近有什么麦当劳活动」「周末去哪家麦麦主题活动」「某城市的生日派对/主题派对/体验营/品鉴会/读书会及可预约场次」，并可把结果生成卡通活动地图（门店位置取自官方经纬度）。首次使用自动引导申请官方 Token 并一键配置连接器，支持城市级位置检测；区分「已核实可预约场次」与「活动线索待核实」，用户确认后才创建主题活动订单。
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 performance bottlenecks and validate optimizations without weakening retrieval quality or correctness.
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。
Shape language across type, radius and icons carries brand personality. Use when starting a design system, picking icons or radius tokens, or reviewing visual consistency.
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。
Orchestrator that routes a UI/UX task through brand, tokens, layout, components, polish and accessibility. Use for multi-concern work such as a design review, UI build or interface audit.
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。
Ratio-based type scale where every size relates to the others. Use when defining font sizes or type tokens, or when typography feels arbitrary.
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。
rem, px or relative units for each kind of value. Use when defining spacing and sizing tokens, control heights or media queries, or when a layout breaks under enlarged text.
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。
Pipeline from a URL or DESIGN.md to tokens, decisions and a UI spec. Use when building UI for an existing brand, auditing a design system or fixing visual inconsistency.
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 before you shorten, compress, or rewrite the BODY of an existing SKILL.md or agent .md — the moment you are about to cut text to reduce length. First inventory the file's operational anchors (exact code / command / API snippets, fail-closed workflow guards, and rule / threshold statements), preserve every one, then judge the rewrite by expected downstream task cost (exploration, debugging, recovery tokens) rather than by the resulting line count. A shorter skill that strips an anchor makes the agent MORE expensive per task, so length is never the objective and rewrite is not compression. Backed by Preserving Operational Anchors When Compressing Agent Instructions (arxiv 2606.09421v2). Triggers on shortening or refactoring a skill or agent body.
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。
Classify the information-need of a query and dispatch it to the appropriate retrieval or reasoning strategy. Use before read-side memory access, before multi-strategy retrieval, or any time you'd otherwise default to "one retriever for everything". Returns a strategy label, a token budget, and a retrieval depth so downstream handlers can be specialised. Backed by Pre-Route (arxiv 2605.10235v2) and MemFlow (arxiv 2605.03312v1), which together show LLMs possess latent routing ability elicitable via a structured prompt — and that externalising the routing decision improves small-model performance by ~2x. Triggers: "route this", "what strategy", "before retrieving", "intent classification", or any query whose ideal handling depends on what KIND of question it is.
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。
OpenStack Keystone identity service skill for deploying, configuring, operating, and troubleshooting the authentication and authorization backbone of an OpenStack cloud. Covers identity management, token lifecycle (Fernet provider with rotation), service catalog registration, RBAC policy customization, domain/project/user hierarchy, federation basics (SAML/OIDC), credential encryption, and endpoint management. Use when deploying Keystone via Kolla-Ansible, managing users and projects, debugging 401 errors, rotating Fernet keys, configuring RBAC policies, or integrating services through the service catalog.
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。