Skill UI

Guides creation of persona-targeted VS Code CodeTour .tour files, covering repo exploration, intent inference, step composition, and validation so each narrative walkthrough is anchored to real files and tailored depth.

Prevents silent decimal mismatches across EVM chains by querying runtime decimals, caching per chain/token, and normalizing balances for bots, dashboards, and DeFi tooling.

Practical workflow for finding exploitable, remotely reachable vulnerabilities, prioritizing those that qualify for bounties by confirming user-controlled attack paths, minimal PoCs, and real impact before reporting.

Keeps structured JSON records for every code change, enforces a state-machine workflow, and hands off AI sessions with summaries, blockers, and files so bots can resume seamlessly after interruptions.

Guides engineers to write scenario-based Go CLI end-to-end tests using the lark-cli binary, harness helpers, and JSON assertions so each workflow is self-contained, data-consistent, and discoverable through help/schema exploration.

Provides Go performance optimization patterns, guiding engineers from profiling to targeted improvements across allocations, CPU, GC, caching, and hot paths when benchmarks reveal a bottleneck.

Guides Go engineers on adopting samber/hot for in-memory caching with eviction choices, TTL, loaders, sharding, stale-while-revalidate, missing-key caching, and Prometheus metrics to cut latency for high-frequency medium-to-low cardinality data.

A disciplined workflow that forces you to build in thin vertical slices, test, verify, and commit each working increment before moving on, ideal for multi-file features or large refactors.

Build interconnected Excel financial models (income statement, balance sheet, cash flow, DCF, cap table, scenarios) driven by an assumptions sheet so each output updates automatically from provided inputs.

Creates a structured spec before coding, covering objectives, commands, structure, style, tests, boundaries, and success criteria so teams surface assumptions and validate each phase before implementation.

Behavioral guidelines for writing, reviewing, and refactoring code with LLMs, emphasizing minimalism, clear assumptions, surgical edits, and verifiable success criteria to avoid common machine-assisted coding mistakes.

This guide teaches how to build well-structured and robust ASP.NET Minimal APIs. It covers best practices for API organization, defining clear DTOs with proper validation, handling strongly-typed parameters, and leveraging modern C# features. Crucially, it demonstrates how to generate comprehensive, standards-compliant OpenAPI/Swagger documentation using built-in .NET features, ensuring APIs are fully documented for seamless consumption.