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What Markdown Bold Actually Does in an Agent Instruction File
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AI Architecture Claude 3.7 Sonnet
Category Engineering & Strategy
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Engineering & Strategy AI Agent System Prompt

What Markdown Bold Actually Does in an Agent Instruction File

title: What Markdown Bold Actually Does in an Agent Instruction File published: true tags: promptengineering, claudecode, contextengineering...

Quick Answer (Voice / AI Overview) Here is the verified What Markdown Bold Actually Does in an Agent Instruction File prompt for Claude 3.7 Sonnet under the Engineering & Strategy category. You can copy the full JSON blueprint on JsonPrompts.in for free.
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title: What Markdown Bold Actually Does in an Agent Instruction File published: true tags: promptengineering, claudecode, contextengineering, aiagents --- ![Rows of an instruction file where nearly every line is wrapped in green asterisks, so the emphasis no longer marks anything.]( A rule gets skipped, so you make it bold. It happens again with a different rule, so that one goes bold as well, then the warnings, then the thing that broke production once. I did that to my own files for months without ever checking whether the highlighting was doing anything. 😅 ## There is no bold channel The asterisks are tokens. A model reading your ``, ``, `` or `` receives them as characters in a sequence, exactly like every other character in the file, and no documented path runs from "this span is emphasized" to "weight this more heavily". The intuition comes from somewhere real. The habit is not stupid. A reader's eye lands on bold before they have chosen to read the line, and since the model reads the same file we do, it feels like it should inherit the reflex. It does not inherit it. ## The method that exists because emphasis does not carry PASTA, from Georgia Tech, UC Berkeley and Microsoft Research, reweights a small subset of attention heads at inference so a model attends to a span the user designates, changes no parameters, and reports a 22% average accuracy improvement for LLAMA-7B. Its abstract opens on the analogy itself: ```text In human-written articles, we often leverage the subtleties of text style, such as bold and italics, to guide the attention of readers. Existing methods, however, are constrained to process plain text and do not support such a mechanism. ``` ## What the three ecosystems document Anthropic's Claude Code guidance is the most directly useful thing I found: ```text If Claude keeps skipping one instruction, add emphasis such as "IMPORTANT" to that line alone. If you emphasize many lines, none of them stands out. ``` Two things sit in that sentence. The recommended instrument is a word rather than markup, and the failure mode is named outright by the vendor. 📄 The skills documentation supplies the constraint underneath. A loaded `` enters the conversation as one message and stays there across later turns, which makes every line a recurring cost, and the stated cap is 500 lines. Out

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{
    "prompt": "title: What Markdown Bold Actually Does in an Agent Instruction File published: true tags: promptengineering, claudecode, contextengineering, aiagents --- ![Rows of an instruction file where nearly every line is wrapped in green asterisks, so the emphasis no longer marks anything.]( A rule gets skipped, so you make it bold. It happens again with a different rule, so that one goes bold as well, then the warnings, then the thing that broke production once. I did that to my own files for months without ever checking whether the highlighting was doing anything. 😅 ## There is no bold channel The asterisks are tokens. A model reading your ``, ``, `` or `` receives them as characters in a sequence, exactly like every other character in the file, and no documented path runs from \"this span is emphasized\" to \"weight this more heavily\". The intuition comes from somewhere real. The habit is not stupid. A reader's eye lands on bold before they have chosen to read the line, and since the model reads the same file we do, it feels like it should inherit the reflex. It does not inherit it. ## The method that exists because emphasis does not carry PASTA, from Georgia Tech, UC Berkeley and Microsoft Research, reweights a small subset of attention heads at inference so a model attends to a span the user designates, changes no parameters, and reports a 22% average accuracy improvement for LLAMA-7B. Its abstract opens on the analogy itself: ```text In human-written articles, we often leverage the subtleties of text style, such as bold and italics, to guide the attention of readers. Existing methods, however, are constrained to process plain text and do not support such a mechanism. ``` ## What the three ecosystems document Anthropic's Claude Code guidance is the most directly useful thing I found: ```text If Claude keeps skipping one instruction, add emphasis such as \"IMPORTANT\" to that line alone. If you emphasize many lines, none of them stands out. ``` Two things sit in that sentence. The recommended instrument is a word rather than markup, and the failure mode is named outright by the vendor. 📄 The skills documentation supplies the constraint underneath. A loaded `` enters the conversation as one message and stays there across later turns, which makes every line a recurring cost, and the stated cap is 500 lines. Out",
    "model": "Claude 3.7 Sonnet",
    "aspect_ratio": "1:1",
    "category": "Engineering & Strategy",
    "content_type": "text_prompt",
    "surface": "text_library",
    "quality_score": 84,
    "provenance": "COMMUNITY_PROMPT"
}

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