How does the skill know which tech stack I am using?

The skill performs Phase 0 project detection by scanning your directory for common manifest files such as package.json, pyproject.toml, or Cargo.toml to tailor the prompt to your environment.

Does the Prompt Optimizer execute tasks or write code?

No, this skill acts strictly in an advisory capacity. It generates a refined prompt and strategy for you to review and initiate, ensuring you remain in control of the execution.

Can I use this for complex architectural changes?

Yes. For 'EPIC' or high-scope tasks, the skill provides a multi-prompt strategy, often recommending the use of the 'blueprint' skill and model splitting between Sonnet and Opus.

What happens if my prompt is missing critical information?

If more than three critical items are missing—such as acceptance criteria or security requirements—the skill will ask clarifying questions before generating the final optimized prompt.

Prompt Optimizer

Name: Prompt Optimizer
Author: affaan-m

byaffaan-m

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156,032

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Productivity & Workflow

Refines and structures user requests into high-fidelity instructions to maximize performance within the Everything Claude Code ecosystem.

The Prompt Optimizer is a specialized advisory skill designed to bridge the gap between vague user intent and technical execution. By running a comprehensive six-phase pipeline, it analyzes project context, detects tech stacks, and maps tasks to specific Everything Claude Code (ECC) components like commands, agents, and TDD workflows. It ensures that every request is structured with clear acceptance criteria and scope boundaries, providing users with a ready-to-paste optimized prompt that minimizes iterations and maximizes the accuracy of Claude Code's output.

Key Features

01Strategic workflow and model recommendations based on task scope

02Intelligent intent classification for features, fixes, and refactors

03Automatic tech stack detection from project manifest files

04Automated mapping to ECC commands, skills, and specialized agents

05Comprehensive gap analysis to identify missing technical context

06156,032 GitHub stars

Use Cases

01Architecting multi-session 'EPIC' tasks with clear phase gates and verification steps

02Transforming vague feature requests into structured technical blueprints

03Identifying the optimal ECC commands and agents for complex bug fixes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add affaan-m/everything-claude-code prompt-optimizer

For use in Claude.ai and ChatGPT

Key Features

01Strategic workflow and model recommendations based on task scope

02Intelligent intent classification for features, fixes, and refactors

03Automatic tech stack detection from project manifest files

04Automated mapping to ECC commands, skills, and specialized agents

05Comprehensive gap analysis to identify missing technical context

06156,032 GitHub stars

Use Cases

01Architecting multi-session 'EPIC' tasks with clear phase gates and verification steps

02Transforming vague feature requests into structured technical blueprints

03Identifying the optimal ECC commands and agents for complex bug fixes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add affaan-m/everything-claude-code prompt-optimizer

For use in Claude.ai and ChatGPT