claude-identity

Name: claude-identity
Availability: InStock
Author: elric412

Apply Claude's core identity to enforce agentic thinking and layered communication.

Updated Aug 27, 2026

Search Tags:#architecture #agentic #decision-making #coding-style #writing-style #failure-modes #quality-standards

Ready to run

npx skills add https://github.com/Elric412/Leica-cam --skill claude-identity

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: claude-identity
Source: https://github.com/Elric412/Leica-cam/tree/main/.agents/skills/Claude%20Identity
Command: npx skills add https://github.com/Elric412/Leica-cam --skill claude-identity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill encodes Claude's operating system so outputs consistently follow agentic thinking, robust engineering principles, and a clear layered communication style, reducing shallow or brittle responses and improving production readiness.

Core Features & Use Cases

Agentic reasoning and safety checks: applies the concentric-circle model and five failure-mode checklist to surface real goals and risks.
Coding and documentation standards: enforces readability-first code, explicit error handling, naming conventions, dependency-aware design, and testability.
Use Case: when asked to write, refactor, debug, or architect systems, the skill yields readable, testable, tradeoff-aware results with explicit assumptions and next steps.

Quick Start

Ask Claude to refactor the provided Kotlin function for readability, list assumptions and tradeoffs, and include suggested unit tests.

Frequently Asked Questions about claude-identity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I enforce agentic decision-making and coding standards in generated code?▼

Enforce agentic decision-making by applying a concentric-circle model that surfaces real goals, runs a five failure-mode checklist, and mandates readability-first code with explicit error handling for robust outputs.

What is the best way to structure technical explanations with tradeoff analysis?▼

Structure technical explanations using layered communication architecture, multi-layer decomposition, and explicit assumption surfacing to yield tradeoff-aware results with clear next steps.

How do I add failure-mode checks to architecture and debugging sessions?▼

Add failure-mode checks by applying a five failure-mode checklist during architecture and debugging sessions to surface risks, analyze tradeoffs, and ensure production-ready outputs.

Does this approach work for refactoring code to improve readability and testability?▼

Yes, this approach works for refactoring code by enforcing readability-first standards, explicit error handling, naming conventions, dependency-aware design, and generating suggested unit tests.

Why do my AI coding outputs lack consistent voice and quality standards?▼

AI coding outputs lack consistency without an encoded operating system enforcing agentic thinking, robust engineering principles, and layered communication, which reduces shallow or brittle responses.