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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.

gapsself-correction.md

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

Self-Correction and Verification

Opus: Naturally reviews its output and catches errors. Effective when prompted to critique and revise.

Haiku: Rarely self-corrects unprompted. When prompted to review, corrections are shallow (surface-level, not logical).

Mitigation: Build verification INTO the process steps.

Step 3: Verify your answer satisfies rules 1, 2, and 3.
  If all pass, output it.
  If any fail, identify which rule is violated,
  revise the answer, then output.

Do NOT use: "Review your output for errors." Do use: specific checkable criteria embedded in the workflow. Haiku's verification is only as good as the checklist you provide.

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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