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Tech Lead (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Technical implementation consultation for Conductor orchestrator. Advises on implementation approach, dependency choices, and coding patterns. Can

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Technical implementation consultation for Conductor orchestrator is advised by Tech Lead in the 'tech-lead' skill. The tech lead advises on implementation approach, dependency choices, and coding patterns. They make autonomous decisions about implementation approach, dependency management, and coding patterns within your project's codebase without requiring user approval. The tech lead follows a consultation protocol where they understand the technical decision needed, evaluate options, make decisions or escalate, and document technical details. Decisions are made based on existing patterns in the codebase, the potential impact on the bundle size, and the maintenance needs of the dependencies. The Tech Lead adheres to authority levels and thresholds, escalating large dependencies or breaking tooling changes to the Board of Directors as needed. The Tech Lead has a specific dependency size threshold of under 50KB.gzipped.

Key features

  • Implementation approach consultation
  • Dependency management and approval
  • Coding pattern guidance
  • Escalation protocol for large dependencies or breaking changes

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Dependency Approval

The Tech Lead is consulted to approve a small utility dependency, such as date-fns, and provides a decision with reasoning.

Implementation Guidance

The Tech Lead provides implementation guidance for a new feature, including suggestions for coding patterns and dependency management.

Escalation

The Tech Lead encounters a large dependency or breaking change and escalates it to the Board of Directors or users for review.

Pros & Cons

Pros

  • Autonomous decision-making for implementation approach and dependency management
  • Ability to approve small dependencies without user approval
  • Provides implementation guidance and documentation

Cons

  • Limited authority for large dependencies or breaking changes
  • May require escalation to Board of Directors or users

Reviews

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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 Wesley Adekunle · Feb 6, 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, or you want the work done right the first time. You can also use individual commands without the full loop.

Asked by Nils Johansson · Jan 26, 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 Jarrah Whitlock · Jan 22, 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. Context usage: Orchestrator ~4,000 tokens (active during /go); Planner ~3,000 tokens (during planning only); Evaluator ~2,500 tokens each (only when active); Board meeting ~5,000 tokens (on-demand); Idle ~500 tokens (between steps).

Asked by Elif Yildiz · Jan 1, 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 Ahmed Saleh · Dec 26, 2025

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