Does this skill work with my existing codebase?

Yes, it features context-aware tree injection that detects implementation keywords and uses your specific project structure to guide the pseudo-code generation.

How does it help save context window tokens?

The orchestrator uses a mandatory optimization protocol that removes intermediate step outputs from the conversation flow, retaining only the initial query and the final result.

What does the Complete Process Orchestrator do?

It automates a three-step pipeline that transforms natural language into pseudo-code, validates that code against project patterns, and optimizes it for final implementation.

What is the difference between Quick Mode and Complete Mode?

Quick Mode only performs the transformation step for rapid prototyping, while Complete Mode runs the full Transform-Validate-Optimize chain for production-grade output.

Can I use the output to start coding immediately?

Absolutely. At the end of the pipeline, the skill automatically generates a list of implementation tasks (TODOs) that you can use to begin building the feature.

Complete Process Orchestrator

Name: Complete Process Orchestrator
Author: EladAriel

byEladAriel

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Productivity & Workflow

Automates a multi-stage pipeline to transform, validate, and optimize natural language requirements into production-ready pseudo-code.

About

The Complete Process Orchestrator is a sophisticated workflow manager for Claude Code that streamlines the transition from raw ideas to implementation-ready logic. It automatically chains three specialized agents—Transform, Validate, and Optimize—into a seamless pipeline that reduces ambiguity and ensures architectural consistency. By leveraging project-specific context and session memory, the orchestrator produces high-fidelity pseudo-code while utilizing advanced context pruning to save up to 80% on token usage, making it an essential tool for high-efficiency AI-assisted development.

Key Features

Intelligent token optimization via intermediate output pruning
2 GitHub stars
Interactive menu system for Quick or Complete workflow modes
Automated implementation TODO generation based on optimized logic
Automated Transform-Validate-Optimize execution pipeline
Context-aware project tree injection for accurate transformations

Use Cases

Converting complex natural language feature requests into structured, validated logic.
Performing architectural audits on proposed code changes before implementation.
Refactoring legacy requirements into standardized, optimized pseudo-code patterns.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eladariel/pseudo-code-prompting-plugin complete-process-orchestrator

For use in Claude.ai and ChatGPT

Download Skill

GitHub