Executive leadership guidance for strategic decisions, org development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, or making executive decisions.
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。
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Executive leadership guidance for strategic decisions, org development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, or making executive decisions.
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 an executive dashboard spec: north-star metrics, charts, alert thresholds. "design a CMO dashboard"
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。
Write an executive summary from tracked marketing results for CEO, CFO or board. "summarize this quarter for the CEO"
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 knowledge for Azure Speech in Foundry Tools development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS, custom voice or avatars, Speech containers, Voice Live, or telephony/WebRTC streaming, and other Azure Speech in Foundry Tools related development tasks. Not for Azure Content Understanding in Foundry Tools (use azure-content-understanding), Azure AI Vision (use azure-ai-vision), Azure AI Video Indexer (use azure-video-indexer), Azure Translator (use azure-translator).
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 knowledge for Azure AI Face development including troubleshooting, best practices, decision making, limits & quotas, security, and integrations & coding patterns. Use when using Face detection, identification, verification, liveness, PersonGroup/Directory, or Face API quotas, and other Azure AI Face related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence).
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 knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument APIs, custom/classification models, containers, managed identities, or v4.0 migrations, and other Azure AI Document Intelligence related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure AI Vision (use azure-ai-vision), Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer).
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 knowledge for Azure AI Search development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building indexes, skillsets, indexers, vector/semantic search, or RAG knowledge bases with Azure AI Search, and other Azure AI Search related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Cosmos DB (use azure-cosmos-db).
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 knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).
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。
Run a task through your Executor Cloud tool catalog - one MCP endpoint proxying every integration you connected (MCP servers, OpenAPI specs, GraphQL APIs), with per-tool allow/approve/block policies. OAuth Connect via the dashboard MCP panel.
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 execute substantial multi-file builds, features, migrations, and refactors with Astra as orchestrator and DeepSeek V4.1 Flash as the native Codex implementation worker. Use for phased planning and delegated build execution, including existing Superpowers or GSD plans. Skip trivial edits and explicitly single-agent tasks. Worker children must not invoke this orchestration skill.
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。
Execute detailed plans in batches with review checkpoints
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。
Build a personal brand strategy for founders, executives, creators, and consultants. Use when the user says "personal brand", "personal branding", "build my brand", "founder brand", "executive brand", "thought leadership", "I want to be known for", "grow my personal brand", "LinkedIn presence", "creator brand", "consultant brand", "personal brand strategy", "position myself", "what should I be known for", or wants to establish credibility, grow an audience, or become a recognized voice in their industry.
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 execute product launches with week-by-week timelines and channel-specific playbooks. Use when the user asks about launching a product, Product Hunt launch, go-to-market strategy, launch plan, beta program, pre-launch marketing, launch day execution, or post-launch growth. Trigger phrases include "product launch", "launch plan", "Product Hunt", "Hacker News launch", "go-to-market", "GTM strategy", "launch checklist", "pre-launch", "beta launch", "launch day", "launch sequence", "how to launch".
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。
Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
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 a direct path to structured data through ready-made workflows, data APIs, and indexes. Follow the search skill to discover and inspect tools, then the scrape skill to execute them.
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。
Execute the next TaskMaster task using the implementation plan with CDD verification. Picks the next ready task, matches it to the plan step, implements via a dispatched subagent, verifies subtasks with evidence, marks the task done, and loops until every task is complete. Wraps the TaskMaster next -> in-progress -> done lifecycle with CDD GREEN / RED / BLUE verification and the plugin's triple-verification rule. Autonomous by design — no user prompts inside the loop.
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 you have a written implementation plan to execute in a separate session with review checkpoints
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。
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
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 after a phase executes, when the user wants to test the built features themselves. Runs one conversational UAT test at a time into {phase}-UAT.md and, when something fails, diagnoses it and queues fix plans for /gsd-execute-phase.
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 wants to execute a phase's plans, resume the remaining plans, or run only one wave. Discovers plans, groups them into dependency waves, spawns a fresh subagent per plan, then verifies the phase.
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 you have a written implementation plan to execute in a separate session with review checkpoints
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。
Execute multi-task implementation plans by dispatching a fresh implementer subagent per task with independent review gates. Use when implementing plans, executing multi-task PRs, or transitioning from planning to implementation.
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。
Drafts bounded cybersecurity engagement plans with objectives, scope, exclusions, roles, authorization, runtime controls, evidence, stop criteria, and restart gates. Use when preparing an exercise or assessment plan before execution.
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。
Adjudicates authorized exercise outcomes against independently held ground truth, redacted evidence, and explicit status boundaries. Use when comparing observations, resolving discrepancies, or preparing evidence-led security-review handoffs.
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。