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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.

gapsambiguity-resolution.md

≈138 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Ambiguity Resolution

Opus: Selects the most contextually appropriate interpretation of ambiguous input. Weighs multiple factors silently.

Haiku: May pick any valid interpretation, often the most literal one. Inconsistent across runs.

Mitigation: Provide explicit disambiguation rules.

If the input could mean X or Y, default to X unless the input
explicitly contains [specific signal for Y].

Always enumerate interpretations and assign a default. Haiku will not weigh contextual clues to choose — it needs a decision rule.

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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