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Cost-Aware LLM Pipeline Optimization

cost-aware-llm-pipeline

A comprehensive pattern for building robust and cost-efficient LLM application pipelines. This guide details combining model routing based on task complexity, immutable cost tracking, limited retry logic, and prompt caching to manage API expenditures while maintaining high quality. Essential for production systems handling variable-complexity, high-volume tasks.

Cost Snapshot Delta Detector Tool

This tool detects cost regressions by comparing two cost-summary JSON snapshots (baseline vs. current). It is essential for PR-gate workflows, checking for unexpected spending increases using three orthogonal signals: total percentage change, absolute dollar increase, and disproportionate growth in specific token classes (e.g., cache writes).

Cost Optimization for AI Agent Systems

This skill analyzes historical token usage across AI agents and models to pinpoint areas of inefficiency and waste. It recommends specific optimizations—such as model tier adjustments, improving cache utilization, or removing redundant agents—providing estimated dollar savings and actionable steps to reduce operational costs.

Analyze Session Message Costs

This tool provides a granular, per-message cost breakdown within a single conversation session. It serves as a deep-dive utility following an anomaly detection, allowing operators to pinpoint exactly which messages incurred the highest costs. It reveals critical cost components like output tokens, cache writes, and model escalations, helping users understand the true resource consumption beyond simple token counts.

Django Production Architecture Patterns

django-patterns

This guide outlines best practices for building scalable and maintainable Django applications and APIs. It covers recommended project layouts, implementing separated configuration files (dev/prod), advanced ORM techniques, and integrating middlewares, caching, and signals for enterprise-level robustness. Ideal for professional backend development.

Securely Handling EVM Token Decimals

evm-token-decimals

This utility ensures the prevention of silent floating-point mismatch bugs across all EVM chains. It covers runtime querying of decimals, chain-aware caching, handling precision drift in bridged tokens, and safe normalization for bots, dashboards, and DeFi tools. It is crucial for accurate cross-chain balance comparison.

Laravel Deployment Verification Pipeline

laravel-verification

A comprehensive pipeline designed for Laravel projects to ensure code quality and stability before deployment. It systematically executes environment checks, linting, static analysis, full testing with coverage, security audits, migration validation, and cache preparation. Essential for robust CI/CD pipelines and pre-Pull Request validation.

Optimizing Latency-Critical Systems

latency-critical-systems

A comprehensive guide for optimizing systems requiring ultra-low latency and high freshness, such as real-time dashboards, market data feeds, streaming agents, and HFT infrastructure. It details how to measure critical metrics (p95 latency, throughput, freshness age) across the entire 'hot path,' providing structured steps for optimization, caching, and rigorous verification to ensure performance reliability.

Next.js Turbopack Development Performance

nextjs-turbopack

A comprehensive guide to Next.js 16+ and Turbopack. Learn how Turbopack, an incremental bundler written in Rust, significantly accelerates development server startup and Hot Module Replacement (HMR) using file system caching. This guide clarifies when to use Turbopack versus Webpack, and outlines best practices for optimizing production builds and debugging development performance.

Redis Patterns for Backend Applications

A comprehensive guide to Redis best practices for backend development. Learn how to implement critical features such as Cache-Aside, Write-Through caching, rate limiting, distributed locks, and reliable messaging using Pub/Sub and Redis Streams. Essential for building scalable, high-performance production systems.

Spring Boot Backend Development Patterns

springboot-patterns

A comprehensive guide to architectural patterns for building scalable, production-ready backend services using Java and Spring Boot. Covers essential topics including RESTful API design, layered architecture (Controller, Service, Repository), data persistence (JPA), caching, asynchronous processing, robust error handling, and middleware filtering.

Swift Actor For Thread-Safe Persistence

swift-actor-persistence

This pattern demonstrates how to build a robust, thread-safe data persistence layer in Swift using the 'actor' model. It combines fast in-memory caching with reliable file-backed storage, automatically eliminating data races and the need for manual locks. Ideal for offline-first applications and managing shared mutable state in modern Swift concurrency.

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