create-specification

Generate structured specification files aligned with project-specific requirements.

Updated Jul 24, 2026
One-click install
npx skills add https://github.com/rotnov/pycc --skill create-specification-rotnov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-specification
Source: https://github.com/rotnov/pycc/tree/main/.agents/skills/create-specification
Command: npx skills add https://github.com/rotnov/pycc --skill create-specification-rotnov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of inconsistent or poorly defined project requirements, which often lead to misaligned AI outputs and inefficient development cycles.

Core Features & Use Cases

  • Standardized Documentation: Ensures all project specifications follow a uniform structure optimized for AI context ingestion.
  • Workflow Enforcement: Promotes the use of canonical project instructions by verifying the presence of local specification files.
  • Use Case: Use this when starting a new feature or module to ensure the AI has a clear, structured blueprint of the requirements, constraints, and goals before it begins generating code or analysis.

Quick Start

Invoke the create-specification skill to generate a new project requirement document based on the current repository context.

Frequently Asked Questions about create-specification

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

FAQPage Schema
How do I create standardized project specifications for AI-driven development?

Standardized project specifications are generated as structured files to align AI-driven development with project-specific requirements, ensuring consistent context ingestion before code generation begins.

Why does AI-generated code ignore my project requirements and constraints?

AI-generated code ignores project requirements when structured specification files are missing or poorly defined. Generating standardized documentation provides a clear blueprint of constraints and goals, aligning outputs with project context.

What's the best way to document repository-level instructions for AI workflows?

Documenting repository-level instructions is best achieved by generating structured specification files that verify the presence of canonical project instructions, maintaining context accuracy and enforcing consistent workflow standards.

When do I need to generate a specification file before starting a new software module?

You need to generate a specification file when starting a new feature or module to ensure the AI has a clear, structured blueprint of requirements, constraints, and goals before it begins generating code or analysis.

Does this specification generator require existing project instruction files to work?

Yes, the specification generator requires adherence to existing project-specific instruction files to maintain consistency and context accuracy, verifying the presence of local specification files during workflow enforcement.

Can I use standardized documentation to enforce AI alignment across different software engineering tasks?

Yes, standardized documentation enforces AI alignment across software engineering tasks by ensuring all project specifications follow a uniform structure optimized for AI context ingestion, reducing inefficient development cycles.