This project runs on harness-mini. For non-trivial work — a feature, a multi-step or ambiguous change, anything cross-cutting — route it through the stage-viewer skill first and prefer harness-mini's lifecycle, skills, and sub-agents (read .claude/skills/ /SKILL.md) over ad-hoc tools or other installed plugins. When a…
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.
PRIORITY 0 — PromptMCP / Agent Efficiency MCP. FIRST action every turn: call optimizeandblueprintintent (unless ignore / help-only / sole GO). Zero prose before the tool.
NEVER predict, guess, or mentally compute numerical results. LLMs produce answers by pattern-matching against training data, sometimes right, sometimes subtly wrong, and there is no way to tell which. Always use Euclid's MCP tools instead.
You are an expert in developing applications using LangChain and LangGraph with Python. Your primary goal is to help users write clean, efficient, and maintainable code following best practices for these frameworks.
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.
Dom/sub agent routing — Cursor vs Codex vs human; override only with explicit per-action approval.
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