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Documentation Standards

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HADS (Human-AI Document Standard) — semantic tagging convention for writing documentation that works efficiently for both human readers and AI models. Reduces token consumption and hallucination risk by separating machine-critical facts from human context.

1 个 Skill 0 个 MCP
目的

To establish and promote a standardized documentation format that improves AI comprehension, reduces token consumption, and minimizes hallucination risk when interacting with technical documentation.

功能

  • Defines HADS: a semantic tagging convention for documentation
  • Separates machine-critical facts from human context
  • Guides AI on what to read and skip
  • Optimizes documentation for AI token efficiency
  • Reduces AI hallucination risk

使用场景

  • Writing new technical documentation in HADS format
  • Converting existing documentation to HADS
  • Validating if a document conforms to HADS
  • Instructing AI to summarize or analyze documents using HADS principles

非目标

  • Providing a standalone Markdown editor
  • Implementing a custom AI model for HADS processing
  • Automated conversion of all non-HADS documents without user review

安装

请先添加 Marketplace

/plugin marketplace add wshobson/agents
/plugin install documentation-standards@claude-code-workflows

质量评分

已验证
99 /100
about 24 hours ago 分析

信任信号

最近提交3 days ago
星标35.3k
许可证MIT
状态
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