latent-space-engineering

Solid

Shape agent behavior through instruction framing, emotional priming, and style transfer rather than information density alone.

Code & Development 309 stars 27 forks Updated today MIT

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Quality Score: 93/100

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Description 5%
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Skill Content

# Latent Space Engineering Shape agent behavior by framing instructions for optimal performance. Distinct from context engineering (packing the right information), this skill addresses HOW instructions are framed to put agents in productive mental states. ## When To Use - Composing agent dispatch prompts - Writing skill instructions that guide behavior - Dispatching 3+ parallel review agents - Generating code or documentation that must match an existing style ## When NOT To Use - Packing factual context (use context-optimization) - Simple single-shot tasks with no behavioral nuance - Tasks where instruction tone is irrelevant ## Core Techniques ### 1. Emotional Framing Replace threat-based prompting with calm, confident instructions. Fear-based prompts cause rushing and corner-cutting. **Load module**: `modules/emotional-framing.md` ### 2. Style Gene Transfer Inject exemplar code or prose into context before requesting output. Agents reproduce stylistic attributes from pre-loaded samples. **Load module**: `modules/style-gene-transfer.md` ### 3. Competitive Review Frame multi-agent review dispatch with competitive incentives to increase rigor and thoroughness. **Load module**: `modules/competitive-review.md` ## Quick Reference | Technique | When | Module | |-----------|------|--------| | Emotional framing | Any agent prompt | emotional-framing | | Style gene transfer | Code/doc generation | style-gene-transfer | | Competitive review | 3+ parallel reviewers |...

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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