「selection」の検索結果

Analytics and attribution setup — tracking plan, UTM conventions, dashboard design, and attribution model selection. Use when "analytics setup", "attribution", "tracking plan", "UTM", "marketing analytics", "dashboard setup", "measurement strategy", "how do I track", "which metrics", or any request to set up or improve marketing measurement and attribution.

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。

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for forced-auth coercion, relay chains, target selection, NTLM or related acceptance paths, and coercion-to-privilege transitions. Use when the user asks to trace a coercion primitive, follow a relay path, analyze forced authentication, determine which service accepts relayed auth, or connect a coercion step to resulting privilege, enrollment, or code execution. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

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。

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for JWT, JWS, and JWE validation paths, header parsing, key selection, claim acceptance, audience and issuer checks, role derivation, and token-to-identity confusion bugs. Use when the user asks to inspect JWT headers or claims, key lookup, `kid` handling, `alg` confusion, audience or issuer validation, role claims, or explain how a token becomes accepted identity or privilege. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

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。

Interactive button-based UI for XMTP agents following XIP-67. Use when creating menus, confirmation dialogs, selection options, or any button-based interaction. Triggers on inline actions, buttons, menus, or ActionBuilder.

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 names a coding, Claude Code, research, documentation, or technology-selection task; asks which prompt to use; says to use the right prompt; or when an agent enters this repository and needs to orient without reading every file.

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。

5-phase repeatable structure for autonomous agent sessions: context-load, tiered work-selection, coordination claim, execute, and persist-learning. Prevents duplicate work across concurrent sessions and ensures every run produces durable artifacts. Runtime-agnostic — Claude Code, gptme, Codex, or any persistent-workspace 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。

Expert sales strategy and operations guidance for B2B SaaS companies. Use when designing sales processes, implementing qualification frameworks (MEDDIC, BANT, SPICED), territory planning, forecasting, quota setting, compensation design, or optimizing pipeline velocity. Covers sales methodology, org structure, tech stack selection, win rate analysis, and deal acceleration strategies.

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 go-to-market strategist for SaaS applications. Use when planning GTM strategy, content strategy, social media strategy, personal brand development, business brand positioning, or channel selection. Covers LinkedIn, X/Twitter, TikTok, YouTube, and multi-channel distribution. Use for launch planning, audience building, founder-led marketing, and growth strategy.

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。

host chinese call of cthulhu and similar investigative tabletop rpg sessions as kp/keeper. use when the user asks to start, continue, simulate, or play a coc scenario, wants chatgpt to be kp, asks for preset investigator cards, npc teammates, dice checks, horror investigation pacing, solo/co-op tabletop roleplaying, or persistent pre-session prep/project folders for a campaign. ask only the minimum setup questions: whether the user wants a custom investigator persona and how many npc teammates; otherwise handle scenario selection, character card creation, npc teammates, dice, pacing, narration, and campaign notes automatically.

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 selection strategy and routing. Use when choosing between models for different task types, subagent configurations, or optimizing token cost vs quality tradeoffs.

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 Codex must make a high-quality judgment on any complex problem, not only technical problems. Trigger when a question has high complexity, uncertainty, cost of being wrong, long-term impact, value tradeoffs, possible structural causes, or when the user asks for 全面思考, 深度理解, 系统性分析, 帮我想清楚, 从根上看, 这件事到底怎么看, 方法论, 复杂问题拆解, 系统方案, 架构判断, 策略判断, or 根因分析. Also trigger for project and engineering high-risk scenarios such as multi-module, multi-environment, multi-data-source, multi-state, financial truth, live trading, ledger, revenue, customer assets, order governance, broker interfaces, online availability, major solution selection, and system closure.

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 ManagedCode.Storage when a .NET application needs a provider-agnostic storage abstraction with explicit configuration, container selection, upload and download flows, and backend-specific integration kept behind one library contract.

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。

Apply MCAF UI/UX guidance for design systems, accessibility, front-end technology selection, and design-to-development collaboration. Use when bootstrapping a UI project, choosing front-end stack, or tightening design and accessibility 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。

Coordinates large block execution with market impact minimization, counterparty selection, and crossing network utilization. Use when executing block trades, managing large orders, or minimizing market footprint.

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。

Structures ATM offering programs with sales agent selection, volume limitations, and disclosure requirements. Use when establishing ATM programs, managing ongoing equity issuance, or optimizing capital raising timing.

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。

Structures FX hedging strategies for international portfolios with natural hedge identification, instrument selection, and cost analysis. Use when managing currency risk, designing FX hedges, or analyzing translation exposure.

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。

Evaluates green bonds, sustainability-linked bonds, and social bonds with KPI selection, step-up mechanics, and framework assessment. Use when structuring ESG-linked debt, analyzing sustainability frameworks, or evaluating green bond eligibility.

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。

Constructs stat arb strategies with pair selection, signal generation, and portfolio optimization under market neutrality constraints. Use when building stat arb models, designing market-neutral strategies, or optimizing pair portfolios.

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。

Evaluates regulatory differences across jurisdictions with comparative framework analysis and optimal domicile selection. Use when analyzing regulatory environments, comparing jurisdiction frameworks, or selecting fund domiciles.

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。

Evaluates ML applications in investment with feature engineering, model selection, and implementation considerations for alpha generation. Use when evaluating ML for investing, designing ML pipelines, or assessing ML strategy feasibility.

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。

Evaluates bond market liquidity with bid-ask spread analysis, dealer inventory assessment, and electronic trading penetration. Use when analyzing bond liquidity, assessing execution conditions, or evaluating venue selection.

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。

Evaluates multi-jurisdictional restructuring with Chapter 15 recognition, COMI analysis, and parallel proceeding coordination. Use when analyzing cross-border insolvency, assessing jurisdiction selection, or coordinating multi-country restructurings.

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。

Agent task delegation patterns — spawn protocols, handoff metadata, drain gate, parallel limits, and model selection for multi-agent orchestration

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。

Focuses on pandas-specific rules for data manipulation, including method chaining, data selection using loc/iloc, and groupby operations.

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。