Claude Code Tresor

The AI & Automation team consists of 9 specialist agents designed to assist with artificial intelligence, machine learning, automation architecture, and prompt engineering. These agents are identified by the team color Indigo (#6366F1).

Core Specializations

• AI Engineering: LLM applications, RAG systems, agent orchestration, and AI workflow design.
• ML Engineering: Machine learning models, MLOps, and production ML systems.
• Automation: Enterprise automation, workflow optimization, and system integration.
• Prompt Engineering: LLM optimization, prompt design, and AI system enhancement.

Claude Code Tresor is a professional-grade collection of utilities designed for Claude Code users. It provides autonomous skills, expert agents, slash commands, and prompts to supercharge development workflows. The project includes a massive ecosystem of 141 agents (8 core agents and 133 specialized subagents) covering the entire development lifecycle, from architecture to incident response.

Key features include:

• Production-Ready Tools: Battle-tested utilities for real-world projects.
• Orchestration: Intelligent multi-phase orchestration with parallel and sequential execution.
• Tresor Workflow Framework: Includes meta-prompting, todo management, and context handoff.
• Extensive Agent Library: A wide range of specialists organized by team and function.

The Slash Commands Enhancement Plan outlines the transition of Claude Code Tresor commands from simple orchestrators into intelligent workflow engines. The goal is to move from manual agent mentions to a system that automatically selects and coordinates the optimal agents from the 141-agent ecosystem based on context, file types, and project structure.

Key Objectives

• Context-aware agent selection: Automatically choosing the right agent based on the task.
• Multi-phase orchestration: Running parallel and sequential workflows.
• Quality Gates: Implementing automated validation and blocking (e.g., for security or configuration safety).
• Increased Efficiency: Targeting 50-70% faster development workflows.

The AWS Deployment Integration provides a framework for implementing scalable and secure AWS deployments using Claude Code Tresor. It focuses on Infrastructure as Code (IaC), CI/CD automation, and enterprise-grade cloud architecture patterns.

Key objectives include:

• Infrastructure as Code: Automated provisioning.
• Scalable Architecture: High availability and auto-scaling.
• Security: Compliance with the AWS Well-Architected Framework.
• Cost Optimization: Resource efficiency.
• Disaster Recovery: Multi-region backup/recovery.
• Observability: Comprehensive monitoring.

Claude Code Tresor provides an organized collection of over 137 specialized AI agents designed for software development and business operations. These agents are categorized into 9 functional team areas to allow for precise task delegation.

Key characteristics include:

• Team-Aligned Organization: Agents are grouped by business function (e.g., Engineering, Design, Marketing).
• Standardized Format: Agents use consistent YAML frontmatter for metadata.
• Skill Integration: Agents can automatically invoke autonomous 'skills' (e.g., security-auditor skill for OWASP scanning) to perform background checks during analysis.

The Product team agents (identified by the color Purple #8B5CF6) provide expertise across four main specializations: Product Management, Requirements, Research, and Analytics. Use these agents to transform ideas into well-defined products, manage feature development, and ensure successful launches.

Specializations

• Product Management: Feature orchestration, launch management, and sprint planning.
• Requirements: PRD creation and generating testable specifications.
• Research: Market trends, user feedback synthesis, and experimentation.
• Analytics: Product analytics, feedback analysis, and experiment tracking.

The Claude Code Tresor Ecosystem Transformation Roadmap outlines the transition from a collection of 141 agents (v2.6.0) to a fully integrated development ecosystem (v3.0).

Current State (v2.6.0) Capabilities:

• Agents: 141 total (8 core + 133 subagents).
• Skills: 8 existing skills (e.g., code-reviewer, test-generator, security-auditor).
• Commands: 4 existing slash commands (/scaffold, /review, /test-gen, /docs-gen).
• Standards: 12 static style guides and workflows.
• Prompts: 7 specialized prompt categories.

Target State (v3.0) Vision:

• Skills: 20+ intelligent, auto-detecting skills.
• Commands: 15+ orchestration commands for automated workflows.
• Standards: 30+ agent-enforced living standards.
• Prompts: 40+ specialized prompts.
• Integration: Seamless interaction between skills, agents, and commands.

The Research team (identified by the color Orange #F97316) consists of 7 specialist agents designed for market intelligence, competitive analysis, and systematic data investigation. These agents are categorized into two main subcategories:

1. Market Research: Focuses on market intelligence, competitive analysis, business models, and TAM sizing.
2. Data Research: Focuses on deep, systematic investigations and advanced web search expertise.

All research agents adhere to standardized methodologies for investigation, data analysis, and reporting defined in the project's /standards/ directory.

As of version 2.6.0, Claude Code Tresor consists of the following core components:

• Agents: 141 total (8 core production-ready agents + 133 specialist subagents).
• Skills: 8 autonomous helper skills.
• Commands: 4 workflow orchestration commands.
• Standards: 12 style guides and templates.
• Prompts: 7 guided templates.
• Examples: 12 workflow demonstrations.

The project is currently transitioning from v2.6.0 towards v3.0 (Ecosystem Transformation).