Personal Finance

SCD Type 2, Closure Table, Shared Family Budget patterns

Wardley Mapping for strategic positioning and situational awareness. Covers value chain mapping, evolution stages, landscape analysis, gameplay patterns, and strategic decision-making. Use for technology strategy, competitive analysis, and architectural investment decisions.

This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

Design Service Level Objectives, Indicators, and error budgets

Use when optimizing end-to-end latency, reducing response times, or improving performance for latency-sensitive applications. Covers latency budgets, geographic routing, protocol optimization, and latency measurement techniques.

Use when defining SLOs, selecting SLIs, or implementing error budget policies. Covers reliability targets, SLI selection, and error budget management.

Audit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.

Allocate latency budgets and performance targets across system components

Define Service Level Objectives (SLOs), Indicators (SLIs), and error budgets

Plan instrumentation strategy before implementation, covering what to instrument, naming conventions, cardinality management, and instrumentation budget

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

Estimate and optimize AI/ML costs including token usage, context window management, batch processing, and caching strategies.

Guide selection of appropriate prompt level for a task. Use when choosing between simple prompts and complex workflows, applying the seven levels framework, or matching task complexity to prompt investment.

Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-agent-sdk packages, (3) Implementing agent features like tools, hooks, subagents, MCP integration, or sessions, (4) Migrating from Claude Code SDK to Agent SDK, (5) Configuring permissions, budgets, or custom tool access.

Industry-specific guide for implementing Fullstory in banking and financial services applications. Covers regulatory requirements (PCI DSS, GLBA, SOX), privacy controls for sensitive financial data, authentication flows, transaction monitoring, and fraud detection patterns. Includes detailed examples for retail banking, investment platforms, and payment applications.

This skill enables Claude to validate application performance against defined budgets. It's useful for identifying performance regressions early in the development lifecycle. The skill is triggered when the user mentions "performance budget", "validate budget", "performance regression", or requests a check against performance metrics like "page load times", "bundle sizes", "API response times", or "Lighthouse scores". The plugin validates against predefined thresholds and alerts on violations. It is especially helpful in CI/CD pipelines to prevent performance degradation in production.

This skill enables Claude to validate application performance against defined budgets. It's useful for identifying performance regressions early in the development lifecycle. The skill is triggered when the user mentions "performance budget", "validate budget", "performance regression", or requests a check against performance metrics like "page load times", "bundle sizes", "API response times", or "Lighthouse scores". The plugin validates against predefined thresholds and alerts on violations. It is especially helpful in CI/CD pipelines to prevent performance degradation in production.

This skill enables Claude to automatically detect performance regressions in a CI/CD pipeline. It analyzes performance metrics, such as response time and throughput, and compares them against baselines or thresholds. Use this skill when the user requests to "detect performance regressions", "analyze performance metrics for regressions", or "find performance degradation" in a CI/CD environment. The skill is also triggered when the user mentions "baseline comparison", "statistical significance analysis", or "performance budget violations". It helps identify and report performance issues early in the development cycle.

Generate SLA/SLO/SLI monitoring configurations for reliability tracking and error budget management. Activates for SLO setup, reliability targets, and error budget configuration.

Automate budget vs actual variance analysis in Excel with flagging, commentary, and executive summaries for financial reporting and FP&A teams