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/down-skilling

@5e58100

Distill Opus-level reasoning into optimized instructions for Haiku 4.5 (and Sonnet). Generates explicit, procedural prompts with n-shot examples that maximize smaller model performance on a given task. Use when user says "down-skill", "distill for Haiku", "optimize for Haiku", "make this work on Haiku", "generate Haiku instructions", or needs to delegate a task to a smaller model with high reliability.

Use this Skill: https://skilld.dev/gh/oaustegard/claude-skills/down-skilling

This session only. Nothing lands on disk.

gapscontext-utilization.md

≈185 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Context Window Utilization

Opus: Attends well to information regardless of position in long context. Can synthesize across distant sections.

Haiku: Strong primacy and recency bias. Information in the middle of long contexts may be underweighted.

Mitigation: Position-aware prompt design.

  • Place critical instructions at the START and END of the prompt
  • Keep context passages short and clearly labeled
  • Repeat key constraints AFTER the context block
  • For long documents, extract relevant snippets rather than full text
  • Use explicit section labels: [Context], [Policy], [Instructions]

Rule of thumb: if the prompt exceeds 2,000 tokens, repeat the most important constraint immediately before the output instruction.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub12d

    The skill provides guidelines and templates for optimizing AI prompts for smaller models by distilling complex reasoning into explicit procedures and many-shot examples. No security issues were detected.

  • Socket12d

    No alerts

  • Snyk12d

    Risk: LOW · No issues

  • Runlayer7mo

    2/37 files flagged

Signed by skilld at 5e58100. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 weeks ago
metadata
{
  "author": "Oskar Austegard and Opus",
  "version": "1.3.1"
}

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