Architecture Lead (Grade A) logo

Architecture Lead (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Architecture consultation for Conductor orchestrator. Makes decisions about system design, patterns, component boundaries, and technical architect

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

The Architecture Lead (Grade A) is a security-tested data-ai skill for Claude AI that provides architecture consultation for Conductor orchestrator. It makes autonomous decisions about system design, patterns, component organization, and technical architecture within a project's codebase. The Architecture Lead is consulted by the orchestrator when architectural questions arise during track execution and can approve architectural choices within established patterns. For novel patterns or breaking changes, it escalates decisions to the Board of Directors.

Key features

  • System design and architecture consultation
  • Autonomous decision-making within established patterns
  • Escalation process for novel patterns or breaking changes
  • Consultation protocol for resolving architectural questions
  • Decision documentation with clear reasoning and precedent

Pricing

Model
Free
Category
Skills
Rating
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Use cases

Component Organization

The Architecture Lead decides where to place a new component in the codebase, following existing hybrid patterns.

Design Pattern Selection

The Architecture Lead chooses a design pattern for a new feature, ensuring it aligns with existing patterns in the codebase.

API Route vs Server Action

The Architecture Lead determines whether to use an API route or server action for a new endpoint, citing existing precedent.

Pros & Cons

Pros

  • Autonomous decision-making for system design and architecture
  • Consultation protocol for resolving architectural questions
  • Clear escalation process for novel patterns or breaking changes

Cons

  • Authority scope limitations for making decisions
  • Dependence on established patterns and precedent
  • Need for human review for certain decisions

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Q&A

Can I use this alongside other Claude Code plugins?

Yes. SupaConductor uses the /orchestrator-supaconductor: namespace and doesn't conflict with any other plugins, built-in commands, or MCP servers.

Asked by Halima Bello · Apr 20, 2026

Is this overkill for small tasks?

For a quick one-file fix — yes, just use Claude Code directly. Use SupaConductor when: The work touches 3 or more files; You'd normally plan before coding; You want automated quality checks; You want the work done right the first time. You can also use individual commands without the full loop.

Asked by Gabriel Duarte · Apr 9, 2026

Does this work with Cursor, Windsurf, or other AI tools?

No — SupaConductor is a Claude Code plugin that requires Claude Code's plugin system (agents, skills, slash commands, hooks). However, the conductor/ directory it creates is just Markdown files. Any AI tool can read them. If you start with SupaConductor and switch tools later, your specs, plans, and documentation remain useful.

Asked by Sarai Cohen · Apr 8, 2026

How much of my context window does this use?

Skills use progressive disclosure — only ~100 tokens each for metadata. Full instructions load only when activated (typically under 5,000 tokens each). The 39 skills are not loaded all at once. Agents run as separate conversations with their own context windows, so they don't fill up your main conversation. | Component | Context Used | When | |-----------|-------------|------| | Orchestrator | ~4,000 tokens | Active during /go | | Planner | ~3,000 tokens | During planning only | | Evaluator | ~2,500 tokens each | Only the active evaluator loads | | Board meeting | ~5,000 tokens | On-demand only | | Idle | ~500 tokens | Between steps |

Asked by Jamal Carter · Mar 25, 2026

How much does this cost in API credits?

SupaConductor uses the same Claude API as normal Claude Code — it just structures the work more carefully. Because it runs multiple agents (planning, execution, evaluation), it uses roughly 3-5x the API calls compared to doing everything manually in one conversation. SupaConductor optimizes costs automatically: it uses Opus (the most capable model) for planning and evaluation, and Sonnet (faster, cheaper) for execution tasks. Ways to reduce cost: Use /orchestrator-supaconductor:implement if you write specs yourself; skip board meetings for small features (they're opt-in); use human-in-the-loop mode to stay in control of scope.

Asked by Elif Yildiz · Mar 16, 2026

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