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概要と使いどころ

MBSR fundamentals, body scan, and breathing exercises. Evidence-based mindfulness techniques according to Jon Kabat-Zinn for everyday life.

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。

ellmos-ai/skills82026年10月14日 更新

Role-based multi-model strategy. The model catalog lives in a local configuration file instead of the skill text -- roles (thinker/decision-maker, long-running worker, draft generator, reviewer/acceptance, escalation), reasoning effort as an independent axis, mandatory review for draft models, provider switching for independent reviews, budgets, delegation flow, and cost/quality of small 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。

ellmos-ai/skills82026年10月14日 更新

Behavioral activation for depression: Breaking the vicious cycle, activity monitoring, weekly planning, and values-based activities.

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。

ellmos-ai/skills82026年10月14日 更新

Builds DRAFT user personas from the research notes, interview summaries, survey free text and support themes the user provides: for each persona the goals, pains, jobs to be done, context of use, quotes exactly as supplied with their participant codes, and the evidence count behind every attribute, with names, demographics and any detail no participant stated left UNKNOWN rather than invented. Use when the user asks to "build personas from these interviews", "who are our users based on this research", "draft user personas", "turn these research notes into personas" or "update our personas with the new interviews". Do not use for theming a batch of customer feedback into counts, use customer-feedback-theme-synthesis instead; for exit interviews, use exit-interview-synthesis; for the requirements those personas imply, use product-requirements-draft. 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。

kesslernity/awesome-copilot-agent-skills82026年9月19日 更新

Use when locating TBQ3 documentation, function references, examples, or source docs under docs without loading the full corpus; supports rg-based search and curated topic/function indexes.

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。

itsadrianxv/tradeblazer_skills82026年5月8日 更新

Use when generating, modifying, explaining, or reviewing TBQ3 Bar-based trading strategies with OnBar, OnInit, OnReady, entries, exits, MarketPosition, stop profit/loss, sizing, slippage, commission, multi-symbol, or cross-period logic.

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。

itsadrianxv/tradeblazer_skills82026年5月8日 更新

Single-mainline governance for deployless repositories. Use after a deployless audit when a repo needs trunk-based branch rules, branch protection, contribution guidance, review gates, merge queue policy, AI PR intake rules, or agent-ready mainline practices.

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。

GuiBibeau/deployless82026年6月21日 更新

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

How to read submitted JetFormBuilder form data from a custom action, transform it (including %macro% replacement of admin-typed templates), call an external HTTP API, write the response back into the form context for downstream actions to use, and dispatch JFB events based on the API outcome. Use when building a custom action that integrates with a third-party service (LLM call, webhook, CRM, payment processor, geolocation lookup) and needs the action to behave as a node in a data-flow graph rather than a one-shot leaf. Triggers on mentions of "jet_fb_context", "update_request", "has_field", "get_value", "wp_remote_post" with form data, "macro replacement", or "API call from action".

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Design schemas and write queries for PlanetScale serverless MySQL using branch-based workflows. Ensures index coverage, avoids foreign key anti-patterns, and treats every schema change as a reviewable, reversible deploy request.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

Perform quick web searches, local business lookups, and URL content extraction. Covers web_search for general queries, brave_local_search for location-based discovery, and run_crawl4ai_job for deep page crawling. Use when fact-checking, trend spotting, doing competitor analysis, looking up local businesses, extracting page content, or performing content research that doesn't need multi-step deep research.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月15日 更新

saasify

無料

Convert a regular/single-user app into a multi-tenant SaaS — add authentication, organizations/teams, role-based permissions (RBAC), plans & billing (Stripe / HYP-היפ / license keys / usage metering), invites and onboarding. Use when the user wants to "turn this into a SaaS", "add login/orgs/teams", "add plans and payments", "add user roles/permissions", "make this multi-tenant", "הפוך לסאאס", "להוסיף התחברות / ארגונים / הרשאות / מסלולים ותשלום".

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。

dolevhayut/saasify72026年7月1日 更新

Core UI/UX engineering skill for building highly interactive, spatial, weightless, and glassmorphism-based web interfaces using GSAP and 3D CSS.

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。

ranbot-ai/awesome-skills72026年10月14日 更新

Validates whether an API request is correct based on provided inputs (method, URL, headers, body, auth, query params).

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。

ranbot-ai/awesome-skills72026年10月14日 更新

Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violation

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。

ranbot-ai/awesome-skills72026年10月14日 更新

Use when the user asks to "calculate influencer ROI", "prove campaign value", or "what was our ROAS"; produces direct ROI/ROAS, earned media value, attribution-modeled revenue, LTV-based ROI, and a stakeholder-ready summary. Not for building the full slide/written report — use report-generator. 达人营销ROI计算/投资回报测算

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。

unempyd/revenueos72026年9月14日 更新

Complete B2B SaaS marketing agency powered by 79 AI agents across 17 specialties. This is the entry point for ALL marketing requests. Routes to the right specialist team: content marketing, SEO, paid media, social media, email marketing, design, sales enablement (including technical presales — demos, proofs of concept, security questionnaires), product marketing, account-based marketing (ABM), growth, analytics, project management, or client operations. Use this skill when the request spans multiple disciplines or when unsure which specialist to invoke. Also triggers on: marketing help, marketing team, marketing agency, what can you do, marketing capabilities.

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。

unempyd/revenueos72026年9月14日 更新

frontend

無料

Frontend development context for the Megahub project. Use when working on the web-based IDE, Vite build system, Blockly visual programming, Web Bluetooth API integration, JavaScript frontend code, CSS/styles, UI components, or anything in the /frontend/ directory.

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。

mirkosertic/Megahub72026年9月29日 更新

Coordinate evidence based reconstruction from scans, photos, plans, and measurements into a reviewable Blender architectural model, with photographic appearance, renders and portable browser delivery when requested.

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。

obra/scan-to-model72026年9月27日 更新

Create an Estuary derivation that maintains a sliding time window of events (e.g. "transfers in the last 24h", "failed logins in the last 5 minutes") using internal SQLite state and readDelay for time-based expiration. Derivations add complexity and cost — confirm the user wants a derivation before reaching for this. Use when user says "windowing derivation", "derivation for last-24h events", "rolling-window derivation", "sliding-window transformation", "fraud-detection derivation", "rate-limit derivation", or "time-window derivation".

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。

estuary/agent-skills72026年9月25日 更新

Implements declarative Flutter routing using GoRouter v17 with URL-based navigation, deep linking, and authentication guards. Activates when configuring GoRoute path patterns, setting up StatefulShellRoute for persistent bottom navigation state, implementing ShellRoute for shared nested layouts, adding redirect guards with loop prevention (idempotent redirects), configuring deep links for iOS (FlutterDeepLinkingEnabled) or Android (intent-filters), debugging redirect loops or navigation stack issues, handling 404 error routes with errorBuilder, using named routes with path/query/extra parameters, or migrating from imperative Navigator.push to declarative routing. Ideal for Flutter web apps requiring URL bar synchronization, mobile apps with universal links or app links, or multi-level navigation hierarchies.

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。

Poorgramer-Zack/dart-expert-skills72026年8月11日 更新

Generative UI (GenUI) for Flutter using AI models like Google Gemini, Anthropic Claude, or OpenAI via the genui package. Use this skill when building dynamic AI-driven interfaces, conversational UI flows, server-rendered screen layouts, LLM-powered dashboards, chat-based UI generation, or implementing prompt-to-UI systems. Supports AI-generated widgets, reactive data binding, ContentGenerator integration, and A2uiMessageProcessor for real-time UI updates from AI responses. Ideal for apps where UI structure is determined by AI/LLM output rather than hardcoded layouts.

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。

Poorgramer-Zack/dart-expert-skills72026年8月11日 更新