Writing Plans (Grade A) logo

Writing Plans (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Use when you have a spec or requirements for a multi-step task, before touching code

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Writing Plans is a security-tested data-ai skill designed for use with Claude AI. It's intended for creating comprehensive implementation plans for multi-step tasks before starting to code. The skill generates detailed plans assuming the engineer has zero context for the codebase and limited knowledge of testing. It documents each step, including which files to modify, how to test, and what documentation to consult. The goal is to provide bite-sized tasks following principles like DRY, YAGNI, and TDD. Plans are saved to a specific directory and can be integrated with the Conductor workflow for further execution.

Key features

  • Bite-sized task granularity
  • Detailed plan documentation
  • Integration with Conductor workflow
  • Support for TDD and best practices

Pricing

Model
Free
Category
Skills
Rating
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Use cases

New Feature Implementation

Use Writing Plans to create a comprehensive implementation plan for a new feature, including detailed steps for coding, testing, and documentation.

Code Refactoring

Apply Writing Plans to refactor existing code, breaking down the process into manageable tasks and ensuring adherence to best practices.

Pros & Cons

Pros

  • Generates detailed implementation plans for complex tasks
  • Assumes zero context for the codebase, making it accessible for new engineers
  • Follows software development best practices like DRY, YAGNI, and TDD
  • Integrates with Conductor workflow for seamless execution

Cons

  • Requires a specific setup and integration with Conductor
  • Limited flexibility in task granularity, with each step designed to take 2-5 minutes
  • Assumes the engineer is skilled but lacks domain-specific knowledge

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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 Hasan Demir · Nov 1, 2025

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 Joanna Kowalski · Oct 7, 2025

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 Youssef El-Sayed · Oct 4, 2025

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 Winifred Adeyemi · Oct 2, 2025

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 Yelena Popova · Oct 1, 2025

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