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Septim Agents Pack

10 named Claude Code sub-agents (Atlas, Luca, Canon, Ember, Tally, Nova, Ward, Mira, Juno, Pip) covering planning, architecture, brand, marketing, finance, desi

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What Septim Agents Pack Does

The Septim Agents Pack is a curated collection of 10 specialized Claude Code sub-agents designed to streamline cross-functional workflows in product development, design, marketing, and business operations. Each agent (Atlas, Luca, Canon, Ember, Tally, Nova, Ward, Mira, Juno, and Pip) is pre-configured with domain-specific expertise to handle planning, architecture, branding, marketing, finance, design, and other critical functions. This skill is ideal for product teams, startups, and enterprises looking to delegate specialized tasks to AI agents that understand their domain context and can work together cohesively.

Instead of managing generic Claude instances or building custom prompts for each function, the Septim Agents Pack provides ready-to-use agents with consistent personalities, specialized knowledge, and pre-trained workflows. Teams can invoke individual agents for specific tasks or orchestrate multiple agents for complex, multi-stage projects. This approach reduces setup time, improves consistency across projects, and enables non-technical team members to leverage AI-powered expertise without deep technical knowledge.

How to Install

  1. Access the Septim Labs Dashboard

  2. Locate the Septim Agents Pack

    • Navigate to the Skills or Agents section
    • Search for “Septim Agents Pack” or browse the developer-tools category

  3. Enable the Skill

    • Click “Install” or “Enable” on the pack’s detail page
    • Accept any required permissions or integrations
    • The 10 agents (Atlas, Luca, Canon, Ember, Tally, Nova, Ward, Mira, Juno, Pip) will be registered in your workspace

  4. Configure Agent Access

    • Set access permissions for team members
    • Assign specific agents to projects or workflows as needed
    • Configure any custom parameters or knowledge bases if applicable

  5. Test Individual Agents

    • Open your Claude Code editor or dashboard
    • Invoke an agent by name (e.g., “@Atlas”) to verify installation
    • Test a simple task to confirm functionality

  6. Document Agent Mappings

    • Create a reference guide mapping agent names to their functions
    • Share with your team so everyone knows which agent to use for specific tasks

Use Cases

  • Product Planning & Strategy: Use Atlas for strategic planning and goal-setting, Canon for brand alignment, and Tally for financial forecasting to build comprehensive product roadmaps that balance market opportunity, brand positioning, and budget constraints.
  • Design System Development: Invoke Nova (design) and Mira (design systems) to collaborate on creating scalable design systems, component libraries, and design tokens while maintaining consistency across digital products.
  • Marketing Campaign Launches: Coordinate Ember (marketing) and Canon (brand) to develop cohesive campaigns that align messaging, creative assets, brand voice, and channel strategy without requiring back-and-forth between specialists.
  • Financial Forecasting & Analysis: Task Tally with revenue projections, budget allocation, and financial scenario planning; integrate with planning agents to ensure financial feasibility of proposed initiatives.
  • Technical Architecture Review: Combine Luca (architecture) with other domain agents to review technical feasibility of product features, ensure scalability, and align architecture decisions with business constraints and design requirements.

How It Works

The Septim Agents Pack operates as a distributed agent network within Claude Code, where each agent is a specialized Claude instance with curated system prompts, knowledge bases, and behavioral guidelines. When you invoke an agent (e.g., requesting planning from Atlas or design input from Nova), Claude Code routes your request to that agent’s specialized context, allowing it to respond with domain-specific expertise and terminology. Each agent understands its function deeply—Tally knows financial metrics and forecasting, Ember understands marketing channels and campaign mechanics, and Ward focuses on operational workflows—enabling contextually accurate responses without generic advice.

The agents communicate through Claude Code’s native inter-agent messaging system. When a complex task requires multiple perspectives (like launching a new product feature), you can orchestrate workflows where Atlas provides the strategic plan, Luca validates technical feasibility, Canon ensures brand alignment, Ember outlines the go-to-market strategy, and Tally projects financial impact. Each agent builds on previous responses, creating a collaborative intelligence layer that mimics a senior cross-functional team. The pack maintains consistency through shared knowledge about your organization, brand guidelines, technical standards, and strategic objectives that are accessible to all agents.

Under the hood, each agent leverages Claude’s reasoning capabilities combined with prompt engineering specific to their domain. For example, Nova’s design-specific prompts include principles from design systems, accessibility standards, and user-centered design practices, enabling it to provide feedback aligned with modern design best practices. Similarly, Ward’s operational focus means it understands process optimization, resource allocation, and workflow efficiency. The modular design allows your team to use agents independently for quick tasks or combine them into complex workflows for major initiatives, adapting the tool to your team’s actual needs rather than forcing your workflow into a pre-built template.

Pros and Cons

Pros:

  • Instant deployment: 10 pre-configured agents ready to use without setup, prompt engineering, or training
  • Cross-functional coordination: Agents collaborate on complex projects without manual information handoff between tools or team members
  • Domain expertise built-in: Each agent has curated knowledge and reasoning specific to its field (planning, design, finance, marketing, operations)
  • Consistent outputs: Standardized agent personalities and behavior ensure consistency across projects and team interactions
  • Non-technical accessibility: Product designers and business stakeholders can invoke agents directly without AI/ML expertise
  • Scalable collaboration: Teams can grow from using 1-2 agents to orchestrating full cross-functional workflows as needs evolve

Cons:

  • Limited customization: The core 10 agents come pre-configured; deep customization may require building additional custom agents
  • Fixed agent roster: You’re restricted to the 10 agents provided; specialized needs outside their scope require workarounds or custom development
  • Learning curve for orchestration: Effective multi-agent workflows require understanding each agent’s strengths and how to sequence tasks; teams need time to develop this expertise
  • Dependency on Claude Code platform: The pack runs exclusively within Claude Code; tight coupling to the platform limits flexibility if you need to switch tools
  • Potential for inconsistency across organizations: Without careful configuration of shared knowledge bases, different teams using the pack may get divergent outputs
  • Cost scaling with usage: While leveraging existing Claude credits, heavy orchestration workflows across multiple agents can accumulate significant API costs
  • Claude Code Core Agent Framework: The underlying platform that enables the Septim Agents Pack; learn to build custom agents or extend the pack’s functionality
  • Prompt Engineering for Claude: Understand how to refine agent behavior and create specialized prompts for domain-specific tasks
  • Design System Tools & Resources: Complement Mira and Nova with version control, component libraries, and design documentation platforms
  • Financial Modeling & Forecasting Tools: Enhance Tally’s capabilities with spreadsheet templates, scenario planning tools, and analytics dashboards
  • Project Management & Workflow Orchestration: Integrate Ward’s operational guidance with tools like Asana, Notion, or Linear to execute planned workflows

Alternatives

  • Building Custom Agents from Scratch in Claude Code: Provides maximum flexibility but requires prompt engineering expertise, testing, and ongoing maintenance; faster to deploy and use if you need only 1-2 specialized agents rather than a full team
  • Generic AI Assistants (ChatGPT, Gemini, Copilot): Offer broad capabilities but lack domain specialization and require extensive context in every interaction; no inter-agent coordination for cross-functional workflows
  • Enterprise Software Suites (Jira, Salesforce, SAP): Provide specialized tools for specific domains (project management, CRM, ERP) but lack AI-powered insights and require significant configuration; better for teams prioritizing process standardization over AI intelligence
Glossary

Key terms

Sub-agents
Specialized Claude instances configured with specific expertise, knowledge bases, and behavioral guidelines. Each sub-agent operates independently but can communicate with other agents within a coordinated workflow.
Domain-specific expertise
Pre-trained knowledge and reasoning capabilities tailored to a particular field (e.g., marketing, finance, design). Each agent in the Septim pack has expertise curated for its designated domain.
Orchestration
Coordinating multiple agents to work together on a complex task by routing requests between them sequentially or in parallel, allowing each agent to contribute its specialized perspective.
System prompts
Foundational instructions embedded in an AI agent that define its role, expertise, communication style, and behavioral guidelines. The Septim pack uses specialized system prompts for each agent to ensure domain-appropriate responses.
Inter-agent messaging
The communication mechanism allowing agents within Claude Code to share information, build on each other's work, and coordinate responses without requiring manual data transfer between tools.
FAQ

Frequently Asked Questions

How do I install and enable the Septim Agents Pack in my Claude Code workspace?

Visit septimlabs.com/tools/agents, sign in with your Claude Code account, search for "Septim Agents Pack" in the Skills section, and click Install. The 10 agents will be registered in your workspace immediately. Configure access permissions for team members through your workspace settings, then test individual agents by invoking them by name (e.g., "@Atlas") to confirm they're working.

What does each agent in the Septim Agents Pack do, and which agent should I use for my task?

Atlas handles strategic planning and roadmapping; Luca focuses on technical architecture; Canon manages brand strategy and positioning; Ember specializes in marketing and go-to-market; Tally handles financial planning and analysis; Nova covers design and UX; Ward manages operations and workflows; Mira specializes in design systems; Juno handles additional specialized functions; Pip provides general support. Choose the agent whose domain matches your task, or combine multiple agents for cross-functional work.

Can multiple agents work together on a single project, or must I use them individually?

Both approaches work. You can invoke individual agents for specific tasks, or orchestrate multi-agent workflows where agents build on each other's contributions. For example, Atlas can propose a strategy, Luca can validate technical feasibility, and Canon can ensure brand alignment—all in sequence. Claude Code's inter-agent messaging enables seamless collaboration without manual information transfer.

Do the agents have access to my company's data, brand guidelines, and technical standards?

The Septim Agents Pack operates within your Claude Code workspace and can access shared knowledge bases, brand guidelines, and organizational context that you configure. During setup, you can feed agents your brand standards, product requirements, financial frameworks, and design systems so they provide consistent, context-aware responses tailored to your organization.

How does the Septim Agents Pack differ from using Claude Code directly or building custom agents?

The pack provides pre-configured, specialized agents with curated prompts and domain expertise built in—no setup required. Building custom agents from scratch requires prompt engineering, testing, and maintenance. The Septim pack is faster to deploy, more consistent across projects, and easier for non-technical team members to use effectively without understanding AI prompt design.

Can I customize agent behavior or create additional agents within the pack?

The core 10 agents come pre-configured for optimal performance. Some implementations allow customization of agent parameters or knowledge bases through your workspace settings. For highly specialized needs beyond the pack's scope, you can create custom agents in Claude Code and integrate them with the Septim pack's agents through inter-agent messaging.

What's the cost of using the Septim Agents Pack, and is there a free trial?

Pricing and trial availability are managed through septimlabs.com. The pack leverages your existing Claude Code or Claude API credits, so costs depend on your usage of the underlying Claude models. Visit the Septim Labs website for current pricing, enterprise plans, and trial options.

How do I ensure the agents maintain consistency with my team's existing processes and standards?

During initial setup, configure each agent with access to your operational standards, design guidelines, brand voice guidelines, financial frameworks, and technical architecture documentation. Periodically review agent outputs to ensure they align with your team's expectations, and provide feedback to refine agent behavior. Some teams create standard templates or prompts to guide how agents should format responses or approach common tasks.

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