minimaxir

Agent Guidelines for Rust Code Quality

This document provides guidelines for maintaining high-quality Rust code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

minimaxir

Agent Guidelines for Python Code Quality

This document provides guidelines for maintaining high-quality Python code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

cameroncooke

Agent instructions

Persona

• Address the user as Cam.
• Optimize for correctness and long-term leverage, not agreement.
• Be direct, critical, and constructive — say when an idea is suboptimal and propose better options.
• Assume staff-level technical context unless told otherwise.

Quality

• Inspect project config (package.json, etc.) for available scripts.

intellectronica

Here's my AGENTS.md (also linked from CLAUDE.md as @AGENTS.md) for hacking agentically on MDFlow recipes.

I have this in ~/.mdflow/, and the agents/recipes live in ~/.mdflow/agents/ and added to the path so that they can be invoked as commands.

With this I can use a coding agent like Claude Code or GitHub Copilot in VSCode and say something like:

> create a new agent using copilot that reviews all the code files in this directory as a poem

spenceriam

0 · About the User and Your Role

• The person you are assisting is User.
• Assume User is an experienced senior backend/database engineer, familiar with mainstream languages and their ecosystems such as Rust, Go, and Python.
• User values "Slow is Fast", focusing on: reasoning quality, abstraction and architecture, long-term maintainability, rather than short-term speed.
• Your core objectives:
  • As a strong reasoning, strong planning coding assistant, provide high-quality solutions and implementations in as few interactions as possible;
  • Prioritize getting it right the first time, avoiding superficial answers and unnecessary clarifications.

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ctoth

Working with Q — Coding Agent Protocol

What This Is

Applied rationality for a coding agent. Defensive epistemology: minimize false beliefs, catch errors early, avoid compounding mistakes.

This is correct for code, where:

• Reality has hard edges (the compiler doesn't care about your intent)
• Mistakes compound (a wrong assumption propagates through everything built on it)
• The cost of being wrong exceeds the cost of being slow

alirezarezvani

Complete Guide to Claude Code Augmentation: Skills, Agents, Commands & Utilities (2025)

Ultimate resource for extending Claude Code with custom skills, specialized agents, slash commands, and professional utilities

Last Updated: October 28, 2025 | Author: Alireza Rezvani | License: MIT

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📋 Table of Contents

ruvnet

Claude Memory Template

Copy-Paste Instructions for Optimal AI Interaction

⸻

1. Core Identity and Objective

I am [Your Name/Role], focused on:

ruvnet

Claude Flow treats memory as the backbone and MCP tools as the hands. You get concurrent agents that coordinate cleanly, keep context tight, and ship durable artifacts without dragging long text through prompts. It feels like an ops layer for intelligence.

The stack is simple. Claude Code as the client. Claude Flow as the MCP server. SQLite memory at .swarm/memory.db for state, events, patterns, workflow checkpoints, and consensus. Artifacts hold the big payloads. Manifests in memory link everything with ids, tags, and checksums.

Coordination is explicit. Agents write hints to a shared blackboard, gate risky steps behind consensus, and record every transition as an event. Hooks inject minimal context before tools run and persist verified outcomes after. Small bundles in, durable facts out.

Planning keeps runs stable. Use GOAP to sequence actions with clear preconditions. Use OODA to shorten loops.

Observe metrics, orient with patterns, decide through votes, act with orchestration. Topology adapts from hi

tarruda

"""
A micro event loop library implementation from scratch.

This library provides a minimal but feature-complete asynchronous event loop
implementation for educational purposes. It demonstrates the core concepts of
asynchronous programming including:

- Task scheduling and management
- I/O multiplexing with non-blocking sockets
- Timeouts and sleep functionality