What is Context-Driven Development (CDD)?

CDD is a methodology that prioritizes establishing a project's technical and product context—such as goals, tech stack, and workflows—to guide an AI agent's implementation decisions.

How does the track system work?

Work is organized into 'tracks' stored in the conductor directory. Each track contains a specific requirements document (spec.md) and a step-by-step execution list (plan.md) to manage complex features.

Does this skill support Test-Driven Development?

Absolutely. Conductor's default workflow encourages a TDD cycle of writing failing tests, implementing code, and refactoring, typically aiming for high code coverage.

Can I use Conductor with both Claude Code and Gemini CLI?

Yes, Conductor is fully interoperable. It uses a standardized directory structure that allows you to switch between different AI CLI tools while maintaining the same project state.

Where is the project state stored?

All project context, track information, and status markers are stored locally in a `conductor/` directory within your repository, making it git-compatible.

Conductor

Name: Conductor
Author: thanhtoan105

bythanhtoan105

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Productivity & Workflow

Standardizes the development lifecycle through a context-driven methodology that organizes projects into specs, plans, and tracks.

Conductor is a context-driven development (CDD) framework designed to maintain deep project context by establishing clear product visions, technology stacks, and development workflows. It streamlines the software engineering process by organizing work into logical 'tracks'—such as features or bug fixes—each with its own detailed specifications and phased implementation plans. By integrating Test-Driven Development (TDD) and progress tracking directly into the codebase via a dedicated conductor directory, it ensures that AI agents operate with full situational awareness, leading to higher quality code, better architectural alignment, and more predictable project outcomes.

Key Features

011 GitHub stars

02Automated project context establishment including product vision and tech stack

03Track-based task organization for granular feature and bug management

04Structured specification and phased implementation plan generation

05Built-in Test-Driven Development (TDD) cycle and workflow enforcement

06Full interoperability between Claude Code and Gemini CLI environments

Use Cases

01Organizing a complex greenfield project from initial vision to phased implementation

02Tracking multi-phase feature progress with specific acceptance criteria and status markers

03Maintaining consistent coding standards and TDD practices across AI-assisted sessions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thanhtoan105/accounting_erp_chatbot conductor

For use in Claude.ai and ChatGPT

Download Skill