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From imbue
Shapes AI agent behavior via instruction framing, emotional priming, style transfer, and competitive review for complex prompts, skill instructions, parallel reviews, and style-matched code/docs.
npx claudepluginhub athola/claude-night-market --plugin imbueHow this skill is triggered — by the user, by Claude, or both
Slash command
/imbue:latent-space-engineeringThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Shape agent behavior by framing instructions for
Structures Claude prompts using behavior/task/knowledge zones, XML tagging, and tone registers for skills, agents, modes, complex tasks, tools, and code generation.
Crafts or updates LLM prompts from first principles by discovering goals, constraints, and context through targeted questions. Use for new prompts, updates, or reviews.
Teaches prompt engineering patterns including few-shot learning, chain-of-thought prompting, prompt optimization, and template systems. Useful for improving LLM output reliability, debugging agent behavior, or learning prompting strategies.
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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.
Replace threat-based prompting with calm, confident instructions. Fear-based prompts cause rushing and corner-cutting.
Load module: modules/emotional-framing.md
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
Frame multi-agent review dispatch with competitive incentives to increase rigor and thoroughness.
Load module: modules/competitive-review.md
| Technique | When | Module |
|---|---|---|
| Emotional framing | Any agent prompt | emotional-framing |
| Style gene transfer | Code/doc generation | style-gene-transfer |
| Competitive review | 3+ parallel reviewers | competitive-review |