Converts CLAUDE.md system instructions into structured-label format for multiple LLMs.
npx skills add https://github.com/BoraPerusic/agents --skill ai-md-boraperusic
Please help me install this Agent Skill. Skill: ai-md Source: https://github.com/BoraPerusic/agents/tree/main/skills/to%20try/ai-md Command: npx skills add https://github.com/BoraPerusic/agents --skill ai-md-boraperusic
Converts human-written CLAUDE.md into an AI-native, structured-label format to improve consistency and compliance across models, reducing token usage and increasing reliability.
Feed your CLAUDE.md into AI.MD to generate a labeled, AI-native prompt set.
High-intent search queries and answers about installing and using this skill.
To convert CLAUDE.md into a structured format, you feed the system instructions into an AI-native label converter. This process translates long-form policies into atomic rules with standard labels like trigger and action, ensuring cross-model compatibility and token efficiency across LLMs.
AI-native structured label conversion is the process of translating human-written system instructions into atomic rules with standard labels such as trigger, action, and exception. This enforces consistency, organizes rules into gates, and improves compliance across different language models.
Yes, converting system prompts into structured labels works across multiple models. The approach applies cross-model validation and multi-model testing to ensure compatibility and reliability for Claude, Codex, Gemini, Grok, and other LLMs.
To optimize long-form policy prompts and reduce token usage, translate them into an AI-native, structured-label format. This enforces atomic rules and organizes them into gates, rules, and rhythm, cutting token count while maintaining instruction reliability.
While using structured labels for large rule sets improves consistency and reduces tokens, it requires careful organization into gates, rules, and rhythm. Users must enforce atomic rules and perform cross-model validation to prevent compliance issues across different LLM environments.
DonchitosConfigure a project's game engine and version, updating CLAUDE.md and generating technical documentation.
caobingshengConvert CLAUDE.md rules into a structured-label schema for multi-model pipelines.
hubvueMinify verbose prompts into semantically equivalent high-density instructions for AI models.
cassioalexandreRewrite prompts using the RSCIT framework to enforce structured outputs and reduce hallucinations.
