Question 1

Can I use this alongside other Claude Code plugins?

Accepted Answer

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

Question 2

Is this overkill for small tasks?

Accepted Answer

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.

Question 3

Чи працює це з Cursor, Windsurf чи іншими AI‑інструментами?

Accepted Answer

Ні — SupaConductor — це плагін Claude Code, який потребує системи плагінів Claude Code (агенти, навички, slash‑команди, хуки). Однак директорія conductor/, яку він створює, містить лише Markdown‑файли. Будь‑який AI‑інструмент може їх читати. Якщо ви починаєте з SupaConductor і пізніше переходите на інший інструмент, ваші специфікації, плани та документація залишаться корисними.

Question 4

How much of my context window does this use?

Accepted Answer

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 |

Question 5

How much does this cost in API credits?

Accepted Answer

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.

Question 6

Do I need to know how to code?

Accepted Answer

You need Claude Code installed and running — that requires basic terminal knowledge. But once SupaConductor is set up, you describe what you want in plain English and it handles the implementation.

Question 7

What gets created in your project?

Accepted Answer

When you run /orchestrator-supaconductor:setup, it creates a conductor/ folder: All of these are plain Markdown and JSON files. You can read, edit, or delete them anytime.

Question 8

How It Works?

Accepted Answer

Every piece of work follows a structured cycle called the Evaluate-Loop: | Step | What Happens | |------|-------------| | Plan | Breaks your goal into tasks with a dependency graph | | Evaluate Plan | Checks for scope issues, overlap with other work, and feasibility | | Execute | Writes code, runs tests, tracks progress — parallel when possible | | Evaluate Execution | Specialized checkers review UI/UX, code quality, integrations, and business logic | | Fix | Addresses any failures, then loops back to evaluation (up to 5 fix cycles; up to 3 plan revisions) | | Complete | All checks pass — track is marked done | The loop runs fully automated. It stops when the work passes all quality checks or when it needs your input.

Question 9

What's Inside?

Accepted Answer

| Component | Count | What It Does | |-----------|------:|-------------| | Commands | 36 | Slash commands you type to control everything | | Skills | 39 | Specialized knowledge modules that activate when needed | | Agents | 15 | Autonomous workers that handle planning, coding, and evaluation | | Evaluators | 4 | Quality checkers for UI/UX, code quality, integrations, and business logic | | Board of Directors | 5 | Virtual executives who deliberate on major decisions | | Lead Engineers | 4 | Architecture, Product, Tech, and QA specialists | Bundled Superpowers v4.3.0 (MIT) — everything works out of the box with zero setup.

Question 10

What Does This Do?

Accepted Answer

You tell Claude Code what you want. SupaConductor figures out how to build it — step by step, with quality checks at every stage. Without SupaConductor, you prompt Claude Code and hope for the best. You manually review, re-prompt, and fix what it misses. With SupaConductor, you type one command: And it automatically: 1. Writes a detailed specification 2. Creates an implementation plan with task dependencies 3. Executes each task (in parallel when possible) 4. Checks the work with specialized evaluators 5. Fixes any issues it finds 6. Marks the work complete when everything passes No babysitting. No re-prompting. Just describe what you want and walk away.

Question 11

What's New in v3.7.0?

Accepted Answer

Board of Directors fast-path — Routine tracks now use a single Opus call (all 5 lenses in one pass) at ~1/10th the cost of the full multi-agent deliberation. Full board is reserved for high-stakes decisions: production deploys, security architecture, breaking API changes, data-loss migrations. Plan revision guard — Prevents infinite planning loops. Tracks the number of times a plan is rejected and calls it done (with warnings) after 3 revisions. Execution state reconciliation — On session resume, plan.md checkboxes are now treated as the source of truth. Prevents already-completed tasks from being re-executed after a crash. Atomic file locks — Parallel workers can no longer accidentally acquire the same file lock simultaneously. Uses fcntl OS-level locking on a dedicated mutex file. Bounded knowledge injection — The knowledge brief injected before planning is capped at 500 tokens (top-3 most relevant patterns and errors). Prevents context growth as your project's knowledge base accumulates.

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