Question 1

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, manually reviewing, re-prompting, and fixing 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.

Question 2

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 3

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 three or more files, you would normally plan before coding, you want automated quality checks, or you want the work done right the first time. You can also use individual commands without the full loop.

Question 4

Vai tas darbojas ar Cursor, Windsurf vai citiem AI rīkiem?

Accepted Answer

Nē — SupaConductor ir Claude Code spraudnis, kas pieprasa Claude Code spraudņu sistēmu (agents, skills, slash commands, hooks). Tomēr tā radītais "conductor/" katalogs satur tikai Markdown failus. Jebkurš AI rīks var tos lasīt, tāpēc vēlāk varat pārslēgties uz citu rīku, saglabājot jūsu specifikācijas, plānus un dokumentāciju.

Question 5

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 6

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 3-5× 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 include using /orchestrator-supaconductor:implement if you write specs yourself, skipping board meetings for small features (they're opt‑in), and using human‑in‑the‑loop mode to stay in control of scope.

Question 7

Do I need to know how to code?

Accepted Answer

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

Question 8

What gets created in your project?

Accepted Answer

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

Question 9

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 and stops when the work passes all quality checks or when it needs your input.

Question 10

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 as Superpowers v4.3.0 (MIT) — everything works out of the box with zero setup.

Question 11

Kā es varu atjaunināt uz jauno versiju?

Accepted Answer

Ja instalējāt no tirgus vietas: Ja klonējāt ar Git:

Question 12

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.

Question 13

Kādi ir ierobežojumi, lietojot Git Worktrees?

Accepted Answer

Tā var prasīt manuālu ietekmēšanu, ja pārbaudījumi neizdodas bāzes pārbaudē, un pieņem konkrētu kataloga struktūru un gitignore konfigurāciju.

Question 14

Kādi ir galvenie ieguvumi no Git Worktrees izmantošanas?

Accepted Answer

Tas ļauj strādāt vienlaicīgi uz vairākiem branšiem, novērš nejaušus iesniegumus, un automatizē kataloga izvēli un drošības pārbaudi.

Question 15

Kā darbojas kataloga izvēle?

Accepted Answer

Kataloga izvēles process pārbauda esošos katalogus ar prioritāšu kārtību, pēc tam pārbauda ‘CLAUDE.md’ failu, ja tas eksistē, un lieto to preferenci.

Question 16

Kāds ir Git Worktrees mērķis?

Accepted Answer

Git Worktrees rada izolētas git darba koka kopijas ar gudru kataloga izvēli un drošības pārbaudi, lai izstrādājumu darbs, kas prasa izolāciju no pašreizējā darba telpas, tiktu atbalstīts.

Using Git Worktrees (Grade A)Saugamības pārbaudīta datu-AI prasmju funkcija Claude AI. Grēds A. Izmantojiet, kad sākat funkciju darbu, kas prasa izolāciju no pašreizējās darba vietas vai pirms izpildes plānu - izveido izolēti git worktrees

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