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spec-optimizer

Optimize Automaker spec documents for SpecOutput schema compliance and feature generation.

1|Updated Feb 25, 2026
Search Tags:#specification#optimization#ai#spec#project-management#automaker
One-click install
npx skills add https://github.com/jbactad/claude-plugins --skill spec-optimizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spec-optimizer
Source: https://github.com/jbactad/claude-plugins/tree/main/automaker-skills/skills/spec-optimizer
Command: npx skills add https://github.com/jbactad/claude-plugins --skill spec-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Spec Optimizer helps teams refine and structure Automaker's spec files (app_spec.txt and spec.md) to improve AI feature generation, ensure schema compliance, and provide clear guidance for AI agents throughout the workflow.

Core Features & Use Cases

  • Streamlines and clarifies project specifications by enforcing the SpecOutput schema and consolidating scattered notes into a single source of truth.
  • Improves feature generation quality by organizing core capabilities, implemented_features, tech stack, and roadmap in a decomposable, developer-friendly format.
  • Enables rapid iteration on specifications with automated sync of completed features and ongoing optimization patterns.

Quick Start

Invoke the Spec Optimizer on your Automaker project to refactor app_spec.txt and spec.md into a clearer, schema-compliant specification.

Frequently Asked Questions about spec-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize Automaker spec documents for better AI feature generation?▼

Spec optimization refactors app_spec.txt and spec.md files to align with the SpecOutput schema, correcting section ordering and mapping implemented_features accurately. This process ensures proper structure and accurate technology references to improve AI feature generation quality and consistency.

What is the SpecOutput schema and how does it structure project specifications?▼

The SpecOutput schema is a structured format for project specifications that organizes core capabilities, implemented_features, tech stack, and roadmap into a decomposable layout. It enforces validation rules, section ordering, and schema conformance to provide clear guidance for AI agents throughout the workflow.

How do I ensure my app_spec.txt file complies with schema validation rules?▼

To ensure app_spec.txt schema compliance, validate the document against the SpecOutput schema structure, verify section ordering, and check technology references for accuracy. Thorough implemented_features mapping and applying validation rules ensure full schema conformance for AI workflows.

Can I use this spec optimization process to consolidate scattered project notes?▼

Yes, spec optimization consolidates scattered project notes into a single source of truth by enforcing the SpecOutput schema. It streamlines project specifications by organizing core capabilities, implemented features, tech stack, and roadmap into a decomposable, developer-friendly format.

When should I refactor a spec.md file to improve AI agent guidance?▼

Refactor a spec.md file to improve AI agent guidance when specifications lack schema compliance or contain scattered notes. Refactoring enforces SpecOutput-aligned structure, accurate technology references, and thorough implemented_features mapping to provide clear guidance for AI feature generation.

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