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概要と使いどころ
Build and release pipeline for the Pump SDK — tsup TypeScript builds, Cargo release profiles, semantic release with commitizen, npm publishing, linting, Makefile targets, Vercel deployment, and MCP server distribution.
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。
Model Context Protocol server exposing 53 tools, 3 resource types, and 3 prompts for AI agent consumption — quoting, building transactions, fee management, analytics, AMM operations, social fees, wallet operations over stdio transport.
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。
Office Scripts (Excel Online / Microsoft 365) development expert skill. Covers platform limitations, ExcelScript API patterns, testing strategy (lib + Vitest), and 13 real-world bug patterns discovered during production development. Trigger words: Office Scripts, ExcelScript, Excel Online, Office Script development, TypeScript Excel, Excel automation, CalculateRequirements, ImportCsvData
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。
Professional data visualization skill specialized in creating reader-friendly, accessible, and aesthetically pleasing charts and dashboards. Use this skill when you need to create visualizations, choose appropriate chart types, design color schemes, create dashboards, or apply design best practices for data communication. Expertise includes visualization principles, color theory, typography, layout design, and accessibility guidelines.
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。
Compare your data to a partner's data in the marketplace. Given a dataset you already own with person/edge data, this skill walks you through picking a partner data source to match against, choosing which identifier types to match on, optionally selecting which enrichment attributes to attach, and then submits the report — returning overlap, match counts, and demographic coverage. Use when: "how does my data compare to your marketplace", "compare my data to [partner]", "how much overlap do I have with [supplier]", "run a match report", "match my customers against 3P data", "see what enrichment is available for my dataset", or any open-ended question about marketplace overlap. (narrative-identity)
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。
Produce a coverage & quality profile of a Narrative dataset (or access rule): row count, per-column null/fill rate, cardinality, ranges, top-values, inferred column shape, and quality flags. Reads bundled stats + sample first, recovers missing/stale stats by configuring and recalculating them, and escalates to a cheap `/write-nql` query only for a measure no stat can provide. Descriptive, not prescriptive. Use when: "profile dataset N", "what does dataset N look like", "coverage and quality of <dataset>", "what id types does N emit", "null rates / cardinality for <dataset>", "is this dataset's stats fresh". (narrative-common)
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 pi (coding-agent) session JSONL and ego-benchmark-harness run artifacts to explain slow or failed individual tasks, compare execution-path differences between agents or browser tools, and count tool calls and error types. Use this skill whenever users ask to analyze a pi session, explain why a task was slow or failed, compare two runs, investigate an error, locate the session corresponding to tasks.jsonl, inspect an agent execution path, count tool calls, analyze a run ID, or perform any forensic or retrospective analysis of JSONL under ~/.pi/agent/sessions/ or agent-home/.pi/agent/sessions/.
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。
Refactor Swift code toward declarative functional programming with immutability, value types, pure functions, transformations, and closure-based APIs. Use when asked for functional refactoring or `/refactor:functional`.
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。
Knowledge base from NASA Risk Management Handbook (NASA/SP-2011-3422). Use for risk-informed decision making, continuous risk management, performance commitments, risk scenario diagrams, risk disposition types, risk burn-down schedules, objectives hierarchies, deliberation and alternative selection, risk driver identification, and RM planning for space and safety-critical programmes. Does not cover domain-specific PRA methods (fault trees, event trees) in procedural depth — see NASA PRA Procedures Guide for those.
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。
Builds a slide-by-slide presentation draft on the user's own slide template and checks every slide against written brand rules (colours with hex codes, fonts, logo placement, slide archetypes, tone, banned visuals), returning the approved outline, the DRAFT deck content and a compliance report as Markdown. Use when the user asks to "build this deck on our template", "make these slides on-brand", "check this presentation against our brand guidelines", "rebuild these slides to corporate identity (CI)" or asks for a CI-compliant or corporate-template presentation. Do not use for an accessibility review of slides, use document-accessibility-check instead. Drafts for human review; never approves, authorises or signs off.
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 for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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 explaining or writing TBQ3 language syntax, including Params, Vars, Events, data types, variables, sequence variables, arrays, Map variables, control flow, operators, assignment, functions, and formula execution 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。
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English. Also covers LaTeX layout/typesetting (排版) fixes — loose or sparse pages, stranded section headings, figures that don't fill the page or split across pages, "Float too large", multi-panel figure arrangement, and Supplementary Information that looks empty — via references/latex-layout.md. Also trigger on general academic/scientific writing requests even without the word "Nature", including academic writing, scientific writing, SCI/paper writing, English manuscript polishing, language editing, proofreading, and Chinese phrasings such as 学术写作、科研写作、论文润色、写paper、SCI写作、英文论文润色、语言润色、润色、改写、学术英语、英文写作.
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。
Author and validate nvoos-chart fenced-JSON chart blocks for NV oOS chat surfaces — 29 chart types across distribution, part-to-whole, ranking, change, special and grid families. Covers type selection, the v2 schema (values/series/data.items, mode, sort, direction, unit, animate, table, target), data-shape rules, the create_chart_fence server validator, the a11y checklist, and copy-paste JSON templates. Use when writing chart fences in assistant responses, choosing a chart type for data, validating chart JSON, or deciding between nvoos-chart, create_chart, generate_chart and generate_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 when building custom agent backends, implementing the AG-UI protocol, debugging streaming issues, or understanding how agents communicate with frontends. Covers event types, SSE transport, AbstractAgent/HttpAgent patterns, state synchronization, tool calls, and human-in-the-loop flows.
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。
WooCommerce Subscriptions data model, switcher, and gifting reference for exact order type names, product type slugs, subscription meta keys, schedule/date keys, related-order relation meta, switch cart data, switch order data, switched item types/meta, proration hooks, and WCS Gifting recipient storage. Use when code reads or writes shop_subscription, subscription, variable-subscription, subscription_variation, _billing_period, _schedule_next_payment, _subscription_switch_data, _subscription_switch, subscription_switch, _switched_subscription_item_id, wcsg_gift_recipients_email, _recipient_user, _recipient_user_email_address, wcsg_recipient, or when an agent needs the full WooCommerce Subscriptions switcher/gifting flow.
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。
Design and execute DAG-based automation workflows using the NV oOS Pro Workflow Builder — a ReactFlow visual builder for chaining tool calls, agent runs, and actions into repeatable pipelines. Covers the visual builder UI, 9 preset categories, 10 node types, Kahn's algorithm execution engine, scheduling via Pro Schedule Manager, template variable syntax, and best practices. Use when designing workflows, debugging DAG execution failures, choosing between a workflow schedule and raw tool chaining, or building CRM/PM automation pipelines with toolkit_cpt nodes.
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。
AI-powered design intelligence with 67 UI styles, 161 color palettes, 57 font pairings, 99 UX guidelines, and 25 chart types across 15+ tech stacks. Generates complete design systems for any product type with industry-specific reasoning 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。
Configures the JetFormBuilder action events system — the named events (DEFAULT.PROCESS, DEFAULT.REQUIRED, GATEWAY.SUCCESS, GATEWAY.FAILED, BAD.REQUEST, ON.DYNAMIC_STATE, never) that decide WHEN a Form Action runs. Covers declaring supported / unsupported / required events on a custom action, the validation precedence inside Base_Event::is_valid_action(), the multi-event subscription model the action editor exposes, and how to register a brand-new event type via the 'jet-form-builder/event-types' filter using Base_Event, Base_Action_Event, or Base_Gateway_Event. Use when an action needs to run only on payment callbacks, only on validation failure, only on a specific conditional state, after another action's hidden flow, or when the plugin needs to define its own event class (e.g. for inbound webhooks). Triggers on mentions of "JFB events", "action events", "GATEWAY.SUCCESS", "DEFAULT.PROCESS", "supported_events", "unsupported_events", "get_required_events", "Base_Event", "Base_Gatewa...
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。
Surfaces user-facing custom messages from a JetFormBuilder custom Form Action — both the idiomatic path (register message types via 'jet-form-builder/form-messages/register' so they appear in the form's Messages panel and can be overridden globally per form) and the action-local path (custom message fields inside the action editor, dispatched via Action_Exception for errors or via context + 'jet-form-builder/form-handler/after-send' + Messages_Manager::dynamic_success() for success messages). Use when a custom JFB action needs configurable messages for cases like "already subscribed", "duplicate row skipped", "API rate limited", or per-action success copy. Triggers on mentions of "JFB messages", "Action_Exception", "Base_Action_Messages", "jet-form-builder/form-messages/register", "_jf_messages", "dynamic_success", "add_context_once" with a message, "after-send" hook, or "custom action message".
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 for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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。
Define product photography standards for e-commerce — shot types, composition, lighting, consistency rules, AI-assisted generation, and platform-specific variants. Covers the full product imagery pipeline from concept to published asset. Use when you need to plan product photoshoots, create photography briefs, set image standards for an e-commerce catalog, generate AI product lifestyle shots, or ensure visual consistency across hundreds of products.
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。
Produces complete brand identity systems — logos (AI-generated via Gemini), color palettes, typography, imagery guidelines, and WordPress-based brand asset libraries. Use when the task asks for "brand kit", "logo design", "brand guidelines", "brand identity", "visual identity", "brand colors", or "brand assets". Covers AI-assisted logo generation, asset sizing, brand archetypes, and WordPress brand page 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。
Design and execute DAG-based automation workflows using the NV oOS Pro Workflow Builder — a ReactFlow visual builder for chaining tool calls, agent runs, and actions into repeatable pipelines. Covers the visual builder UI, 10 preset categories (incl. AI Fashion Production, v1.1.92+), 10 node types, Kahn's algorithm execution engine, scheduling via Pro Schedule Manager, template variable syntax, and best practices. Use when designing workflows, debugging DAG execution failures, choosing between a workflow schedule and raw tool chaining, or building CRM/PM automation pipelines with toolkit_cpt nodes.
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。