Latent Space Engineering
SkillAI & modelsShapes agent behavior via instruction framing and style transfer. Use when composing dispatch prompts or writing skill instructions for parallel review agents.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Latent Space Engineering skill
What this skill tells your AI
The instructions your AI receives, as published by athola/claude-night-market in plugins/imbue/skills/latent-space-engineering/SKILL.md and read by ahel’s review.
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
4. Named Register Invocation
Name a published standard to pull a whole writing register into output at a cost of one line. Cheaper than exemplar injection and coarser, with a known mid-session decay.
Load module: modules/named-register-invocation.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 |
| Named register | Operator or procedural text | named-register-invocation |
Writing for the Delegate
Framing shapes a delegate's output as much as it shapes a model's prose. Before dispatching, establish what model the delegate runs, what tools it has, and what project context it lacks, then write the prompt as a proposal rather than a procedure.
See modules/know-your-delegate.md.
Exit Criteria
- When a named register is invoked (for example ASD-STE100),
a deterministic check verifies the register held, per
modules/named-register-invocation.md - 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)
Signals
- GitHub stars
- 337
- Forks
- 34
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
latent-space-engineering- Source
- github.com/athola/claude-night-market