Generate AI documentation templates with XML rules and placeholders.
npx skills add https://github.com/aster-void/dotfiles --skill ai-docs
Please help me install this Agent Skill. Skill: ai-docs Source: https://github.com/aster-void/dotfiles/tree/main/modules/home/profile-dev/programs/claude-code/skills/ai-docs Command: npx skills add https://github.com/aster-void/dotfiles --skill ai-docs
This Skill guides users in creating highly effective documentation specifically tailored for AI assistants, ensuring critical project-specific information, constraints, and non-obvious decisions are clearly communicated without wasting valuable context window space on generic or redundant details. It helps AI understand your project faster and more accurately.
CLAUDE.md files in project roots, serving as a primary AI entry point.CLAUDE.md file for a new web project, detailing its unique directory structure, specific coding rules (e.g., commit message format), and any critical external system integrations for an AI assistant.Generate a CLAUDE.md file for a new web project that uses React and Tailwind CSS, highlighting any custom build steps and specific file placement rules.
High-intent search queries and answers about installing and using this skill.
AI documentation focuses on the 'why' behind decisions, project conventions, and constraints rather than obvious implementation details. Create a CLAUDE.md file in your project root using structured templates with XML tags, concrete examples, and token limits under 3000 words to help AI understand your codebase faster and more accurately.
A CLAUDE.md file should document your project's unique directory structure, specific coding rules like commit message formats, critical external system integrations, and non-obvious architectural decisions. Use consistent templates with XML tags like <rules> and <workflow>, placeholders for context, and concrete examples so AI assistants can follow your project's conventions.
Effective code comments explain decisions and constraints, not just restate what the code does. Focus on the 'why'—project-specific context, domain knowledge, and reasoning behind implementation choices. This gives AI the contextual understanding needed to make better decisions about your codebase.
Use consistent templates with XML tags for rules and workflows, positive framing, one-task-per-prompt structure, and observable output descriptions. Keep documentation under 3000 tokens, include concrete examples, and follow test-driven development practices so AI systems behave predictably according to your specifications.
Yes. Create reusable templates for CLAUDE.md, AGENTS.md, system prompts, and architecture documents that apply across projects. Ensure templates follow consistent rules using XML tags, placeholders, and functional requirements so every project in your portfolio benefits from AI-optimized documentation standards.
AI assistants process information differently than humans and need explicit context about constraints, conventions, and decisions. AI-optimized documentation eliminates ambiguity, reduces wasted context window space on generic details, and helps AI understand your project's unique requirements accurately on first read.
vinvcnCreate architectural decision records using structured Markdown templates.
rstacruzDistill session learnings into AGENTS.md guideline improvements.
TLOGBenValidate XML document tag structure and report malformed tags.
starlink-awakenGenerate and compose prompts using Handlebars templates with YAML or JSON data.