「calc」の検索結果

Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.

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。

DC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.

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。

Hex grid spatial utilities for offset coordinate systems. Use when working with hexagonal grids, calculating distances, finding neighbors, or spatial queries on hex maps.

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。

Civilization 6 district mechanics library. Use when working with district placement validation, adjacency bonus calculations, or understanding Civ6 game rules.

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 this skill when simulating vehicle motion, calculating safe following distances, time-to-collision, speed/position updates, or implementing vehicle state machines for cruise control modes.

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 this skill when calculating control system performance metrics such as rise time, overshoot percentage, steady-state error, or settling time for evaluating simulation results.

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 3D mesh files (STL) to calculate geometric properties (volume, components) and extract attribute data. Use this skill to process noisy 3D scan data and filter debris.

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。

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

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。

This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.

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。

This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.

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 keyword usage in provided content, calculates density, suggests semantic variations and LSI keywords based on the topic. Prevents over-optimization. Use PROACTIVELY for content optimization.

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 comprehensive market opportunity analysis with TAM/SAM/SOM calculations

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。

Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.

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。

Compute statistical power, required sample size, and minimum detectable effect (MDE) for a study design, then write a registry-ready power section. Handles two-arm RCTs (with clustering / ICC and unequal allocation), multiple-arm corrections, and a simulation-based power option for non-standard designs (DiD/event-study, IV, panel). Use when user says "power analysis", "power calculation", "MDE", "minimum detectable effect", "how big a sample do I need", "is my study powered", "power for an RCT", or when /preregister needs a power section for an experiment. Produces a power/MDE table, power curves, and a methods paragraph to paste into a preregistration.

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。

Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

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 C#/.NET in Godot 4.7: partial classes extending nodes, the PascalCase lifecycle (_Ready/_Process/_PhysicsProcess), [Export] fields, [Signal] delegates as C# events, type-safe node lookup, and calling between C# and GDScript. Use when writing Godot game code in C# (.cs files, .csproj), needing the Godot .NET build, converting GDScript patterns to C#, or wiring Godot signals as C# events.

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 a compounding worksheet and record that reproduces the preparation exactly and survives inspection — formula, calculations shown, components with lot numbers, in-process checks, and the beyond-use date with its basis. Use when asked to document a compounded preparation, write a master formulation record, create a compounding worksheet, or prepare compounding documentation for inspection. Produces the master formula, the batch record, the component and lot table, in-process checks, labelling, and the beyond-use-date rationale. Documentation only; standards and stability data must come from current official references.

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Use when asked 年终奖怎么算, 13薪和年终奖有什么区别, 年终奖怎么交税, 单独计税还是并入综合所得, 年终奖被扣了怎么办, 离职了年终奖还发吗, 怎么问 HR 年终奖, or understand a year-end bonus in mainland China. Produces how the person's bonus is likely calculated from their documents, the 13薪 versus discretionary bonus distinction, the tax options with a worked comparison marked to confirm, questions to ask HR or the manager in writing, and the steps if a bonus is withheld after resignation, all marked to confirm against current rules. Not tax or legal advice.

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。

Structure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.

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。

Explain China's social insurance and housing fund (五险一金) for a specific person and city: what each part covers, what they and their employer pay, how the contribution base works, and what happens when they change job, city or leave work. Use when asked 五险一金是什么, 社保怎么交, 公积金怎么提取, 换工作社保断了怎么办, 社保基数, or explain Chinese social insurance. Produces a plain explanation for their situation, a contribution calculation using their city's current rates, and a checklist for job changes, moving city, unemployment or freelancing. Not financial advice.

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。

Fit a retention curve to observed cohort data and project LTV — computed, not estimated. Use when someone has real cohort retention numbers (month 0, 1, 2…) and asks what lifetime value, lifetime periods, or long-run retention they imply, or whether retention is flattening or leaking. Produces a fitted power curve (parameters, R², retention floor), a 24-36 period projection, and a real .xlsx with live formulas where editing ARPU recalculates LTV — via the bundled zero-dependency script.

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 statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.

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。

Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

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。

Help users navigate complex product decisions by weighing competing priorities and calculating long-term value. This skill covers build-vs-buy logic, technical debt evaluation, and communicating tradeoffs to senior leadership.

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。