GStack design consultation method for critiquing product/UI/visual direction, exploring alternatives, and recommending a design path before production.
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概要と使いどころ
GStack design consultation method for critiquing product/UI/visual direction, exploring alternatives, and recommending a design path before production.
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。
GStack design-shotgun method for rapidly exploring multiple distinct design directions before choosing one to implement or polish.
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 adapter into ui-implementation-workflow visual direction. Invoke explicitly for expressive marketing, brand, portfolio, or editorial work; do not use as the primary product UI workflow.
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。
Tech Lead role in AID methodology. Use for architecture decisions, code reviews, technical direction, operational readiness, team guidance.
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。
The Eterdis Strategy Diagnostic — an AI-guided conversation that helps leadership teams understand their strategic situation before committing to a direction. This is the entry point skill. It runs an open-ended discovery conversation, detects which strategic frameworks are most relevant, and produces a strategy-ready brief. Use this skill when someone asks for a general strategic assessment, when they don't know which framework they need, when they want to "figure out where we stand," or when they're preparing for a strategy engagement. This skill orchestrates other Eterdis skills — it does not replace them. Triggers on: "help me think through our strategy," "where should we start," "we need to figure out what's going on," "strategic health check," "prepare for a strategy review," or any open-ended request for strategic thinking. Based on 20 years of consulting practice by Eterdis (eterdis.com).
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。
Strategy map analysis using the Eterdis two-directional causal chain. Use this skill to diagnose whether strategy is coherent by building two chains — bottom-up from resources to results, top-down from expectations to requirements — and finding where they don't connect. Runs in three modes — full diagnostic for deep sessions, review mode for quick re-assessment, and alert triggers for early-warning signals. Updates company-context.md after every run. Triggers on questions about strategic alignment, why the strategy isn't working, what to invest in, how the business creates value, whether the plan is realistic, or where the biggest gap is. Based on practice by Eterdis (eterdis.com).
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。
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
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。
Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.
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。
Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.
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Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots in Node.js or browser environments. Triggers: "voice live", "rea...
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Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
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。
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession"...
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Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translatio...
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Audit over-engineered codebases by factoring layers into live obligations, quotienting redundant distinctions, ablating unearned surface, and normalizing survivors while preserving required behavior. Use when change latency or agent difficulty comes from frameworks, plugins, DI, codegen, task runners, config indirection, ORMs, GraphQL, monorepo/infra tooling, or web stacks, or when asked to remove layers. Produces an evidence-backed Reduction Certificate, cuts, migration phases, proof signals, and rollback. Not for one local readability cleanup (use tw-complexity-mitigator).
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Run one explicit escalation pass using the original glaze prompt words verbatim. Use when prompts say `/tw-glaze`, when the first answer feels merely adequate, or when you want the exact original rhetoric preserved while pushing for a materially stronger direction.
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Conduct a Marty-Cagan-style opportunity assessment interview and produce a ~2-page Opportunity Brief in Confluence. Covers business objective, customer, problem, success metric, current alternatives, assumptions/risks, and what we don't know yet. Triggers on "opportunity brief", "opportunity assessment", "discovery brief", "who is this for", "why are we building this", "validate this idea", "product discovery", or any request to frame a feature before implementation. One question at a time. Records accepted research gaps as structured Confluence Decision pages with bidirectional links.
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Load for cross-layer refactors, record/class or value-object migrations, new services/interfaces/repositories, project references, dependency-direction failures, or deciding whether code belongs in Domain, Application, Persistence/Infrastructure, API, or Blazor; not for a local edit wholly inside an established layer pattern.
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。
Load when the user asks for CTO advice on feature strategy, architecture direction, build-vs-buy, infrastructure, market positioning, roadmap, self-hosting, cost, or organizational tradeoffs; not for reviewing an existing implementation-plan workstream.
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。
Throwaway design probe for logic, state models, UI variations, and affordances before production work. Use when the user wants to prototype, sanity-check a model, make something playable, compare UI directions, or explore a design before ln-spec/ln-plan/ln-scope.
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-STD-7009B (Standard for Models and Simulations) with implementation depth from NASA-HDBK-7009B. Use for M&S criticality and programmatics, development evidence and capability assessment, verification/validation domains, uncertainty and sensitivity, use-phase results assessment, risk-informed decision reporting, and handbook life-cycle products. Covers STD-7009B (2024-03-05) + HDBK-7009B (2026-02-03) synthesized notes only; does not replace program-specific TA direction, NPR 7150.2 software requirements detail, or full PRA methodology.
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。
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
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。
Provider-neutral planner for synchronizing MCP configuration, skills and rule files across agent providers and app classes. It discovers evidenced local options and lets the user choose truth, targets, direction and conflicts.
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Sweeps the last 24 hours of email, chat messages and meeting transcripts for commitments in both directions, what the user promised others and what others promised the user, reconciles them against a running commitments ledger (open, done, overdue), lists overdue items first and returns the updated ledger plus a proposed task list as Markdown for the user to save. Use when the user asks to "check my commitments", "what did I promise", "what am I owed", "did anything slip" or "run the commitment sweep". Do not use for a general morning summary of mail, calendar and mentions, use custom-daily-brief instead. Drafts for human review; never approves, authorises or signs off.
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Use when reviewing, debugging, or improving TBQ3/TB language code for trading correctness, Bar strategy behavior, order direction, position state, sizing, costs, backtest realism, event timing, multi-symbol logic, or function documentation 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。