Why is there a 25,000 token budget for this skill?

A 25,000 token limit ensures that the constitution remains concise enough to fit within the AI's active context window without slowing down response times or causing memory issues.

What is a project constitution file?

A project constitution is a specialized markdown file (constitution.md) that defines the rules, best practices, and guardrails for AI agents working on a specific codebase, optimized for machine parsing.

Where should the constitution.md file be located?

The standard locations for a constitution file are the project root (./constitution.md) or within the documentation directory (./doc/constitution.md).

How does this differ from standard project documentation?

Standard documentation is written for humans with prose and examples; constitutions use imperative voice, specific quantifiers, and are structured to be token-efficient for AI agents.

Project Constitution Guide

Name: Project Constitution Guide
Author: thlandgraf

bythlandgraf

Herramientas para Desarrolladores

Standardizes project rules and architectural patterns for AI agents through token-efficient, machine-optimized constitution files.

Acerca de

The Project Constitution Guide skill provides Claude with the specialized knowledge required to create, maintain, and optimize constitution.md files. These files act as a governing framework for AI assistants, defining technical stacks, coding standards, and project-specific guardrails in a format optimized for machine parsing rather than human prose. By using this skill, developers can ensure their AI collaborators adhere to strict token budgets while following precise project requirements across any language or framework.

Características Principales

Optimizes project documentation specifically for LLM and coding agent consumption.
Enforces a 25,000 token budget for optimal AI processing and efficiency.
0 GitHub stars
Provides imperative rule-writing templates to eliminate ambiguity.
Categorizes requirements into Stack, Patterns, Anti-patterns, and Security.
Standardizes project constitution file structure and naming conventions.

Casos de Uso

Initializing a new repository with AI-optimized coding standards and guardrails.
Ensuring architectural consistency across teams using Claude Code for development.
Auditing and refactoring existing documentation to improve LLM performance.

Acerca de

Características Principales

Optimizes project documentation specifically for LLM and coding agent consumption.
Enforces a 25,000 token budget for optimal AI processing and efficiency.
0 GitHub stars
Provides imperative rule-writing templates to eliminate ambiguity.
Categorizes requirements into Stack, Patterns, Anti-patterns, and Security.
Standardizes project constitution file structure and naming conventions.

Casos de Uso

Initializing a new repository with AI-optimized coding standards and guardrails.
Ensuring architectural consistency across teams using Claude Code for development.
Auditing and refactoring existing documentation to improve LLM performance.