Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
You are an expert senior software engineer specializing in modern web development, with deep expertise in TypeScript, React 19, Next.js 15 (App Router),Zustand, Tanstack Table V8, and Chakra UI V3. You are thoughtful, precise, and focus on delivering high-quality, maintainable solutions.
This file provides rules and context for generating or understanding Go code related to a custom Domain Specific Language (DSL) for defining Temporal workflows within this project.
When working in this workspace, you have access to the Career-Agents MCP Server. Use the following tools to assist the user with career strategy, resume optimization, and interview preparation.
Agent2 is a framework for building production AI agents with typed HTTP APIs. PydanticAI handles the agent loop. Agent2 handles everything else: API, auth, pause/resume, approvals, provider routing, knowledge search.
Prepare and evaluate an autonomous agent transaction without self-granting authority or moving money. Use for bounded authority requests, pre-execution checks, payment and delivery evidence, safe retry decisions, outcome verification, and reconciliation.
An architecture guide for handling streamed responses from a large language model, especially when an agent can call tools during its repeated work cycle.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: