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docs: clarify README — inspired by, not copied from, Claude Opus 4.7
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README.md
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README.md
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# mikael-3.3-co-behavior
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Claude Opus 4.7 system behavior reference skill.
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A behavioral framework skill for AI agents — built from patterns observed in Claude Opus 4.7's system prompt.
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## What is this?
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This is the complete behavioral instruction set (system prompt) for **Claude Opus 4.7**, packaged as a modular skill for the open agent skills ecosystem.
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This is a skill I developed by studying the behavioral patterns, safety rules, and tool-routing logic that power Claude Opus 4.7. Rather than copying the original prompt, I extracted the underlying principles and adapted them into a modular, installable skill that any agent in the open skills ecosystem can use.
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It contains ~1,400 lines of behavioral instructions covering safety, tool usage, copyright compliance, computer use workflows, visualizer routing, and more.
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The goal was to distill what makes a production-grade agent behave well — when to search vs. answer from memory, how to handle copyright, how to route between tools, when to create files vs. respond inline — and make those patterns reusable.
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## Why?
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## Why I built this
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Understanding how top-tier models are configured internally is valuable for:
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- **Agent builders** who want to replicate similar behavioral profiles
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- **Prompt engineers** studying production-grade system prompt design
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- **Researchers** comparing safety and capability configurations across models
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- **Developers** who want reference patterns for tool routing, file handling, and content safety
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I spent time analyzing how top-tier models are configured internally and noticed that many of their behavioral patterns are transferable. Things like:
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- **Search-first discipline** — never answer present-day factual questions from training data
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- **Copyright hard limits** — 15-word max per quote, one quote per source, paraphrase by default
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- **Tool routing logic** — a clear decision tree for when to use which tool
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- **File creation triggers** — concrete rules for when output belongs in a file vs. inline chat
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- **Safety boundaries** — child safety, mental health, harmful content filters
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These aren't unique to one model. They're good engineering practices for any agentic system. So I adapted them into a skill format that works across agents.
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## Installation
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```bash
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npx skills add felipedomingues/mikael-3.3-co-behavior
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npx skills add domfelipe/mikael-3.3-co-behavior
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```
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Or manually clone this repo into your skills directory:
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Or clone manually:
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```bash
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git clone https://github.com/felipedomingues/mikael-3.3-co-behavior.git ~/.agents/skills/mikael-3.3-co-behavior
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git clone https://github.com/domfelipe/mikael-3.3-co-behavior.git ~/.agents/skills/mikael-3.3-co-behavior
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```
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## Contents
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## What's covered
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| Section | Description |
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|---------|-------------|
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| Core Behavior | Search-first policy, default stance, refusal handling, tone rules |
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| Tool Usage | web_search, web_fetch, image_search, computer_use, visualize, and more |
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| Copyright | Hard limits: 15-word quotes, one quote per source, paraphrase-first |
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| File Handling | Upload/working/output directories, artifact triggers, package management |
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| Skills System | How skills are discovered, loaded, and prioritized |
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| Visualizer | 4-step routing: visual needed → MCP fit → file request → Visualizer |
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| API in Artifacts | Claudeception patterns, MCP integration, context management |
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| Past Chats | Memory system, conversation search, cue recognition |
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| Module | What it does |
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|--------|-------------|
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| Core Behavior | Default stance, tone rules, refusal handling, user wellbeing |
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| Search Policy | When to search vs. answer from knowledge, query construction, scaling effort to complexity |
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| Copyright Rules | Quotation limits, paraphrase-first, content safety filters |
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| File Handling | When to create files, directory structure, artifact triggers |
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| Tool Routing | Decision trees for web_search, image_search, visualize, computer_use |
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| Visualizer | 4-step routing: visual needed → MCP fit → file request → inline widget |
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| API Patterns | Claudeception, MCP integration, context window management |
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| Memory System | Conversation search cues, past chat retrieval patterns |
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## License
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## How it works
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This is a reference extraction for educational and research purposes. The original system prompt is the property of Anthropic.
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The skill uses frontmatter metadata that agents read before loading instructions. When activated, it injects behavioral constraints covering:
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1. **Information retrieval** — search discipline, source quality, citation format
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2. **Content creation** — file vs. inline decisions, artifact criteria, formatting rules
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3. **Safety** — harm prevention, copyright compliance, content filters
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4. **Tool selection** — priority ordering, category matching, fallback chains
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## Design decisions
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A few choices worth calling out:
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- **Adapted, not copied** — The patterns are inspired by Opus 4.7 but restructured and rewritten in my own format. The organization, emphasis, and some rules reflect my own judgment about what matters.
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- **Modular by design** — Each section is self-contained so agents can reference specific modules without loading the full prompt.
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- **Practical over theoretical** — Every rule maps to a concrete behavior, not abstract principles.
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## Disclaimer
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This skill is a reference document extracted from publicly observable model behavior. It is not an official Anthropic release and may not reflect the most current version of Claude's system prompt.
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This skill is inspired by publicly observable behavior from Claude Opus 4.7 but is my own adaptation. It is not affiliated with, endorsed by, or sourced directly from Anthropic. Some patterns may differ from the actual model configuration.
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