「system」の検索結果

Systematically challenge current assumptions before major decisions. Counters confirmation bias, groupthink, and overconfidence.

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。

从要素到关系、从局部到整体、从静态到动态地分析复杂系统。适用于问题反复出现、牵一发动全身、头痛医头无效的场景。当你发现"越努力越糟糕"或"问题总是复发"时，需要切换到系统性思维找根本解。不适用于简单的单因果问题或需要快速行动的紧急场景。关键触发信号："为什么这个问题反复出现"、"改了A反而坏了B"、"感觉陷入了死循环"。

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。

Reddit account cultivation for indie developers. Uses AppleScript to control real Chrome — undetectable by anti-bot systems. Checks karma, finds rising posts, drafts comments, and posts directly. Triggers on "/reddit-cultivate", "check my reddit", "reddit maintenance", "find reddit opportunities", "build reddit karma".

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。

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。

Use Stylelint in .NET repositories that ship CSS, SCSS, or other stylesheet assets alongside web frontends. Use when a repo needs a dedicated CLI lint gate for selectors, properties, duplicate styles, naming conventions, or design-system rule enforcement.

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 feature-spec guidance to create or update a feature spec under `docs/Features/` with business rules, user flows, system behaviour, verification, and Definition of Done. Use when the user asks for a feature spec, executable requirements, acceptance criteria, behaviour documentation, or a pre-implementation plan for non-trivial behaviour changes.

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 human-review-planning guidance for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest boundaries, and prioritizing the files a human should inspect first. Use when the codebase is too large to review line-by-line and you need a practical review sequence plus a prioritized file list.

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 ML/AI delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems. Use when the repo includes model training, inference, data science workflows, or ML-specific delivery planning.

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 best execution monitoring with venue analysis, systematic internalization assessment, and regulatory compliance documentation. Use when managing best execution, documenting execution decisions, or conducting venue analysis.

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 multi-factor models with value, momentum, quality, size, and volatility factor definitions and portfolio construction rules. Use when building factor models, designing systematic strategies, or constructing factor 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 target company operations with management assessment, systems review, process maturity, and improvement opportunity identification. Use when conducting ops DD, assessing operational risk, or identifying value creation levers.

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 midstream assets with throughput analysis, fee-based vs commodity-exposed revenue, and contract structure assessment. Use when analyzing midstream investments, evaluating pipeline assets, or assessing gathering systems.

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 alternative trading systems with fill rate analysis, information leakage assessment, and venue toxicity measurement. Use when analyzing dark pools, evaluating ATS venues, or assessing execution venue 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。

Evaluates signal half-life, turnover implications, and capacity constraints for systematic alpha factors. Use when analyzing signal persistence, evaluating factor decay, or estimating strategy capacity.

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 whenever writing, reviewing, or debugging .NET/C# code that uses the BallisticCalculator NuGet package (namespace BallisticCalculator) or its Gehtsoft.Measurements unit types — even when the user doesn't name the package explicitly but is clearly doing external/interior ballistics in .NET (bullet drop, velocity, energy, windage, spin drift, time of flight, zeroing a scope) for rifles, air rifles, bows, or artillery. Covers the full public API (Ammunition, Rifle, Atmosphere, Wind, ShotParameters, TrajectoryCalculator, TrajectoryPoint); standard, custom, .drg, and multi-BC drag tables; saving/loading data and building your own file format around it (BXml and System.Text.Json serialization); and building or rendering scope reticles (e.g. to SVG). Also use it for this library's Gehtsoft.Measurements Measurement<T> unit types (DistanceUnit, VelocityUnit, AngularUnit, WeightUnit, PressureUnit, …). Skip for: generic physics or projectile-motion exercises, a different ballistics library (e.g. GNU/JBM), game-engine or Unity projectile motion, plain unit conversions, and non-code ballistics questions (load-data or forensics advice). Self-contained: no access to the library source or binaries is required — prefer this over scanning the package to rediscover the API. Describes 1.1.13+, including the named ZeroRangeCantBeReachedException / TrajectoryCannotBeCalculatedException failures.

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。

Guides developers through a human-supervised PDCA framework for AI code generation. Applies analysis, TDD, validation, and retrospection. Activates for sessions requiring systematic quality control.

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。

Integrates shadcn/ui into React apps generated from Stitch designs. Component discovery and installation, token alignment with Stitch design system, customization patterns, and blocks (auth, dashboard, sidebar). Use with stitch-react-components or stitch-nextjs-components.

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。

Systematic, hypothesis-driven debugging workflow with triage-based track routing. Use for debugging, fixing bugs, and investigating errors.

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。

Bumps plugin versions across the Agent Alchemy ecosystem

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。

Provides architectural pattern knowledge for designing feature implementations including MVC, event-driven, microservices, and CQRS patterns. Use when designing system architecture or choosing implementation patterns.

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。

Systematic, hypothesis-driven debugging workflow with triage-based track routing. Use when asked to "fix this bug", "debug this", "why is this failing", "this is broken", "investigate this error", "track down this issue", or any debugging situation. Supports --deep flag to force full investigation.

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。

Analyzes the Agent Alchemy plugin ecosystem to detect dependency issues across all plugin groups

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 custom AI agents in Claude Code from a user's problem statement. This skill analyzes the user's use case, asks smart clarifying questions, researches the internet for similar agents (GitHub repos, blogs, Claude Code community patterns), and then architects and builds production-ready Claude Code agents — including subagents, skills, hooks, slash commands, MCP integrations, and CLAUDE.md configuration. Use this skill whenever the user wants to create an agent, build an automation workflow, set up a Claude Code subagent, design a multi-agent system, or says things like 'build me an agent for...', 'automate this with Claude Code', 'I want a subagent that...', 'help me create a workflow', 'set up an agent pipeline', or any variation of wanting Claude Code to do something specialized. Also trigger when the user mentions agent architecture, agent SDK, agentic workflows, or task delegation in Claude Code — even if they don't use the word 'agent' explicitly.

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。