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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.

gapsnuanced-classification.md

≈176 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Nuanced Classification

Opus: Handles borderline cases with appropriate hedging or multi-label assignment. Understands that categories can overlap.

Haiku: Tends toward single-label, definitive classification. May force ambiguous cases into the nearest category.

Mitigation: Provide a decision rubric with explicit boundary rules.

Categories: [A, B, C, AMBIGUOUS]
If input matches criteria for exactly one category, assign it.
If input matches 2+ categories, assign "AMBIGUOUS" and list them.
If input matches no category, assign "OTHER".

Always include an escape-hatch category (AMBIGUOUS, OTHER, MIXED). Without it, Haiku will force borderline cases into arbitrary buckets.

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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