Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Risk Metrics Calculation workflow skill. Use this skill when the user needs Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Scikit-learn workflow skill. Use this skill when the user needs Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
seo-content-refresher workflow skill. Use this skill when the user needs Identifies outdated elements in provided content and suggests updates to maintain freshness. Finds statistics, dates, and examples that need updating. Use PROACTIVELY for older content and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
\u76ae\u80a4\u5065\u5eb7\u5206\u6790\u6280\u80fd workflow skill. Use this skill when the user needs Analyze skin health data, identify skin problem patterns, assess skin health status. Supports correlation analysis with nutrition, chronic diseases, and medication data and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Statsmodels: Statistical Modeling and Econometrics workflow skill. Use this skill when the user needs Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
SymPy - Symbolic Mathematics in Python workflow skill. Use this skill when the user needs SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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formidable-forms
quaderno
sportsdata
taxjar
Ecosystem self-evolution orchestrator. Detects project lifecycle phases, evaluates agent relevance, synthesizes cross-agent knowledge, and proposes evolution actions. Use when ecosystem health checks, fitness scoring, or evolution proposals are needed.
Enforces semantic HTML and accessibility standards (ARIA, keyboard navigation, color contrast). Use when building or auditing UI components.
Break down unknowable quantities into estimable components to reach order-of-magnitude accuracy when making quick decisions without precise data
モデルの性能を向上させるために、既存のデータから新しい特徴量を作成する。
Learn how to execute agents and handle results.
End-to-end 8-dimension verification — requirements through delivery, all aligned and correct
Build business cases with cost-benefit analysis, ROI calculations, risk assessment, implementation timeline, and stakeholder analysis
Forecast inventory needs using demand analysis, safety stock calculations, reorder point optimization, and seasonal adjustment
A CLI tool for calculating and validating Uniswap V4 liquidity position tick bounds. Prevents tick math errors that can cause failed LP mints by providing correct, validated tick calculations.
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Performs basic arithmetic calculations including addition, subtraction, multiplication, and division. Use when the user needs to calculate numbers, perform math operations, or compute arithmetic expressions.
Rebate Management setup: rebate types, payout calculations, accruals, partner rebates, program setup, compliance reporting. NOT for CPQ discounts on quotes (use revenue-cloud-cpq-setup). NOT for channel loyalty programs (use partner-loyalty-programs).
Use this skill when configuring or troubleshooting NPSP soft credits, partial soft credits, or matching gift workflows — including OpportunityContactRole-based credit attribution, npsp__Partial_Soft_Credit__c records, and the Find Matched Gifts process. NOT for gift entry staging flows, recurring donation setup, or non-NPSP Salesforce Fundraising (Gift object) credit configurations.
Use this skill to implement custom Apex MCP tool classes by extending McpToolDefinition from the salesforce-mcp-lib package. Covers inputSchema(), validate(), and execute() override patterns, JSON schema construction, SOQL and DML inside tools, error handling, and tool registration in the Apex REST endpoint. Trigger keywords: McpToolDefinition, extend McpToolDefinition, Apex MCP tool, mcp-tool Apex, JSON-RPC tool, salesforce-mcp-lib tool class. NOT for the initial server installation and proxy setup (see salesforce-mcp-server-setup), NOT for MCP Resources or Prompts, NOT for OmniStudio or Flow-based tool definitions.
Sharing records programmatically via Apex: Share objects, row cause, sharing recalculation, with/without sharing patterns. NOT for declarative sharing rules (use sharing-and-visibility).
Use this skill when extending Salesforce B2B/B2C Commerce Cloud behavior through Apex: building custom cart calculators, implementing pricing hooks, integrating inventory checks, or registering custom checkout extensions via the CartExtension Apex namespace and RegisteredExternalService metadata. NOT for standard LWC Commerce components, declarative store configuration, or Experience Builder page layouts — use admin/commerce-checkout-configuration for those.
Use when implementing Salesforce CPQ plugin interfaces in Apex or JavaScript (JS QCP) to customize quote calculation, product search, order creation, contracting, or configuration screens. Trigger keywords: SBQQ plugin, QuoteCalculatorPlugin, ProductSearchPlugin, OrderPlugin, ContractingPlugin, ConfigurationInitializerPlugin, SBQQ__CustomScript__c, JS QCP, calculate callback, CPQ plugin registration. NOT for standard Apex triggers on SBQQ__Quote__c or SBQQ__QuoteLine__c. NOT for Flow-based customization of CPQ processes. NOT for declarative CPQ configuration such as price rules, discount schedules, or product rules that do not require code.
Use when designing or implementing a cross-cutting Apex error handling framework: custom exception hierarchies, rollback-safe logging via Platform Events, BatchApexErrorEvent processing, correlation ID threading, or a unified catch/log/rethrow utility class. Trigger keywords: 'error framework', 'centralized logging', 'rollback-safe log', 'BatchApexErrorEvent', 'correlation ID async', 'AuraHandledException boundary', 'Error_Log__c design'. NOT for individual try/catch block syntax help, basic DmlException handling, or choosing between synchronous and asynchronous execution models.
Use this skill when extending Financial Services Cloud (FSC) behavior through Apex: customizing financial rollup recalculation, disabling built-in FSC triggers to write custom trigger logic, implementing Compliant Data Sharing (CDS) participant/role integrations, or building custom FSC action handlers. NOT for standard Apex unrelated to the FSC managed package, standard Salesforce sharing rules, or configuring FSC rollups through the Admin UI — use the admin/financial-account-setup skill for declarative rollup setup.
Fix browsers (Chromium, Firefox, etc.) that fail to launch on Jetson devices due to an outdated or broken snapd. Downloads a pinned snapd revision offline, installs it, and holds automatic updates to prevent regression. Use when the user reports that a browser installed via snap cannot open, crashes silently, or shows snap-related errors on Jetson (Ubuntu/L4T).
Extract extreme response values with linked statistics from OrcaFlex
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Purpose:
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Handles backend logic that cannot run in the browser. Use for sensitive tasks like price calculation, cleanup, or payment verification.
Create mathematical animations using Manim (Community Edition or ManimGL). Includes best practices, examples, and rules for creating high-quality videos.
Master TAM/SAM/SOM calculations, market sizing methodologies, and validation frameworks. Use when assessing market opportunity, validating business viability, planning market entry, estimating revenue potential, or determining if a market is worth pursuing. Covers bottom-up, top-down, and value theory sizing methods, competitive analysis, and systematic validation approaches.
This skill should be used when Claude Code needs to perform basic arithmetic calculations. It provides a Python script that safely evaluates mathematical expressions including addition, subtraction, multiplication, division, exponentiation, and square roots.
Implement comprehensive mathematical theorem proving capabilities with SFT+GRPO training, MCP/A2A agent integration, and imatrix quantization protection to surpass Boreas-phi3.5-instinct-jp in formal proof generation and scientific discovery. Use when building mathematical reasoning systems, formal verification tools, or AI-assisted theorem proving environments.
Deploy mathematical consciousness as reality's source code and navigation coordinates
Mathpix OCR for LaTeX extraction with balanced ternary checkpoints
Statistical/data-analysis modeling lead for COMAP MCM/ICM Problem C. Use when you need to interpret C题需求、检查题目数据是否足够/是否允许外生数据、制定可验证的统计/机器学习建模方案，并输出不确定性区间与稳健性分析。
Performs mean-variance portfolio optimization to find the tangency portfolio. This skill should be used when users want to calculate optimal portfolio weights, the tangency portfolio, or perform mean-variance optimization with multiple assets. The skill interactively collects expected returns, standard deviations, correlations, and the risk-free rate, then computes and explains the tangency portfolio that maximizes the Sharpe ratio.
Analyze relationships across multiple SAE features - co-activation patterns, shared drivers, and subsystem identification
Use when establishing metrics for new product, feature, or initiative - orchestrates North Star alignment, funnel mapping, proxy selection, and counter-metric identification to create comprehensive measurement framework
Complete curation and streaming economics including playlists, radio, mixed content, revenue calculations, and the two-economy system (creation vs curation)
Expert-level machine learning, deep learning, model training, and MLOps
This skill enables estimation in the domain of logic (mathematics). It represents advanced-level expertise and is designed for production use in research, industry, and educational contexts.
Execute a single deterministic Python script to compute all derived financial metrics (EBITA, Invested Capital, Tax Rates, Summary Table) from extracted financial data.