「decision」の検索結果

Suede-owned measurement discipline for tracking plans, event and conversion instrumentation, UTM and campaign-parameter hygiene, and verification of what actually fires. Use when setting up, auditing, or repairing analytics across web, product, paid, and lifecycle surfaces. NOT FOR: experiment design or significance decisions (use suede-ab-testing), campaign optimization (use suede-ads), attribution models, model comparison, or cross-tool reconciliation (use suede-attribution), or revenue-process architecture (use suede-revops).

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。

Suede-affiliated recurring marketing workflow design for cadence, inputs, decision rules, checkpoints, failure states, and measurable outputs. Use when the user wants repeatable ad-fatigue, content-refresh, churn-watch, ranking-drop, or weekly-review loops. NOT FOR: one-off tactic ideation (use suede-marketing-ideas), experiment design (use suede-ab-testing), or creating a live automation without explicit scheduling authority.

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。

Suede-owned paid-acquisition operating system for channel choice, campaign structure, audiences, bidding, budget pacing, negative keywords, retargeting, and kill-or-scale decisions. Use when planning, auditing, or optimizing paid campaigns on Google, Meta, LinkedIn, X, or comparable platforms. NOT FOR: producing creative variants (use suede-ad-creative), implementing measurement (use suede-analytics), or optimizing the landing page (use suede-site-alchemy).

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。

Suede-affiliated marketing deliberation that applies documented public frameworks through clearly labeled simulated advisors, surfaces disagreements, and synthesizes a decision. Use when the user wants multiple expert lenses on one bounded marketing question. NOT FOR: factual claims about a living person's private views, primary research (use suede-customer-research), or executing the selected tactic (route to the relevant public Suede 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。

Generate North American road-trip itineraries as a map-first, offline-friendly single-file HTML page. Plans around daily driving segments, overnight stops, fuel/EV-charging, national-park reservations (Recreation.gov / NPS), seasonal road closures, and timezone/border crossings — for executable, decision-ready trips. Two entry modes: give a start + region/destination + days and it plans the whole route, or hand it an existing route and it verifies, fills gaps, and produces the page.

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。

Generate a self-contained handoff prompt that lets the user continue work in a fresh coding agent session with empty context. The prompt captures everything a new agent needs: project, goal, progress, decisions, current state, and remaining work. **Triggers — use this skill when:** - User says "handoff", "hand off", "hand-off" - User asks to "generate a continuation prompt" - User says "give me a prompt to continue this" - User asks to "wrap up for a new session" - User says "context transfer", "session transfer" - User asks "how do I pick this up later" - User wants to "pass this to another agent"

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。

Structured planning mode for AI agents working on coding and development tasks. Produces a comprehensive plan BEFORE any code is written or changed, including task decomposition, architecture decisions, risk assessment, and approval gates. Use this skill whenever the user says "/plan", "plan mode", "plan first", "think before coding", "make a plan", or asks the agent to plan before executing. Also trigger when the user describes a complex multi-step development task and would clearly benefit from structured planning before implementation — especially for tasks involving new features, refactors, migrations, infrastructure changes, or multi-file edits. When in doubt, plan. A few minutes of planning prevents hours of rework.

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。

Answer questions about code, architecture, and technical decisions — no implementation. Trigger on questions asking 'why', 'what does this do', 'what is the purpose of', 'explain', 'what's the difference', 'compare', or 'what are the tradeoffs' — even when referencing specific files, code snippets, or inline code. The key signal is the user wants to UNDERSTAND something, not change it. Do NOT trigger for requests to build, fix, plan, review, research, or add/modify 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。

Use when the user wants to save knowledge as a file so others don't have to rediscover it — "turn this into a doc", "write this up", "document how X works", "we figured this out and want to capture it", "nobody should have to figure this out again". Covers any request to create or update durable written artifacts: onboarding guides, runbooks, ADRs, API docs, architecture notes, postmortems, changelogs, setup guides. The trigger: user wants knowledge captured in a file for future reference, not just a conversation. Do NOT use when still making decisions (→ give-plan), just asking for explanation without a file (→ ask), or writing code (→ cook).

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。

CRE Asset Management analysis suite — 9 specialist skills for post-acquisition multifamily operations including annual budgeting, monthly variance analysis, rent collection, renewal decisions, lease-up tracking, capex execution, NOI improvement, hold/sell/refi scenario analysis, and quarterly asset review memos.

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。

Identify and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistakes.

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。

Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.

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 clear decision rights - Decider, Approver, Veto, Consulted, Informed. Use when clarifying who decides.

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。

Summarize meetings using IDEAS framework - Insights, Decisions, Engagements, Actions, Summary. Use after any meeting.

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。

Improve executive updates for clarity, decision impact, and concise speaking 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。

Use when a task asks for a model, a score, a forecast or a prediction-driven feature — pin down the decision, target, unit, prediction time, metric and baseline before writing any modelling 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。

Use when you write the `context` and `design` sections of an analiz report - components, exact interfaces, data flow, errors, decision record, out of 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。

Use while deriving cases - Given/When/Then and the techniques (partitions, boundaries, decision tables, state transitions) that find the cases the criteria do not state

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 updating the stakeholder - report in outcome language (what changed for users, what's next, what decision is needed), translate technical detail, and surface risks early

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 starting a mobile task that could be Flutter or native - decide from the existing app, platform-specific needs, and the analiz task

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 starting a backend task that could be built in either language - decide Go vs Java (Quarkus/Spring) from the task's shape and the repository's existing stack

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。

Phase E of a WinForms-to-Avalonia migration: verify behavioral parity against Phase A contracts, record intentional differences, validate supported environments and packaging, and make evidence-based legacy cutover decisions. Use only for an explicit migration when comparing the legacy and Avalonia implementations or when the orchestrator routes here. Do not delete legacy without the cutover checklist and explicit authorization.

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。

Encode Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great. From the creator of Sonner (13M+ weekly npm downloads), Vaul, animations.dev, and Linear's web team. Use when user wants to polish UI, audit animations, review component interactions, add micro-feedback, or elevate motion quality.

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。

Persistent memory across AI sessions using ChromaDB vector database. Stores and retrieves context from past conversations, decisions, and code. Use when user asks to remember something, search past conversations, recall what was done before, save context for later, or find information from previous sessions. Do NOT use for git history or file-based notes.

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。