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 | competitive-review |
Exit Criteria
- [ ] Dispatch prompts contain no threat-based language ("you must",
"don't fail", "or else"); replaced with calm, confident framing
per
modules/emotional-framing.md - [ ] When generating code or docs to match an existing style, at least one exemplar sample is injected into context before the output is requested (style gene transfer applied)
- [ ] When 3+ parallel review agents are dispatched, each agent
prompt includes a competitive framing element per
modules/competitive-review.md - [ ] The correct technique module is loaded for the task type; irrelevant modules are not loaded (token efficiency maintained)