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@5e58100
by Oskar Austegardoaustegard/claude-skills150 stars
6

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.

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

This session only. Nothing lands on disk.

gapsschema-adherence.md

≈169 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Schema Adherence Under Pressure

Opus: Maintains output format even with unusual or challenging inputs. Degrades gracefully.

Haiku: Schema adherence is strong for typical inputs but can break on edge cases — missing fields, malformed data, empty inputs.

Mitigation: Demonstrate edge cases in examples AND specify fallback.

If a required field is missing, output the field with value "N/A".
Never omit fields from the schema.
If input is empty, output the complete schema with all values "N/A".

Critical: include at least one edge-case example in the few-shot set. Haiku generalizes from examples better than from rules alone for format recovery.

Source: SKILL.md on GitHub

Third-party checks

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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

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    2/37 files flagged

Provenance

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

Capability

metadata
{
  "author": "Oskar Austegard and Opus",
  "version": "1.3.1"
}

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