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Efficiency Layer

Reference documentation for Efficiency Layer in Adaptive Skills.

Why this is a separate track

The Evolution Layer helps the library learn without drift. The Efficiency Layer tackles a different problem: how work using the library can become lighter, clearer, and less wasteful over time.

It exists to improve the relationship between:

  • task framing
  • context size
  • execution cost
  • checkpoint discipline
  • handoff quality
  • model-class choice

This is related to the library, but it is not the same thing as evolving a skill contract.

Problem areas

The Efficiency Layer is aimed at recurring operational problems such as:

  • context that grows without control
  • weak initial prompts or task framing
  • oversized tasks with no smallest useful slice
  • missing checkpoints between rounds
  • poor handoff summaries
  • overuse of the most expensive or most powerful model class when simpler work would suffice

Relation to AletheIA

This track has a strong conceptual connection to AletheIA because AletheIA already helps with:

  • framing
  • gates
  • handoffs
  • continuity
  • proof
  • review

But the Efficiency Layer still belongs in Adaptive Skills as a transversal capability layer, not as an AletheIA dependency.

Efficiency Layer v0 — framing and operating patterns

The first phase should stay documentation-first and pattern-first. It should define:

  • the main efficiency problems to watch
  • the difference between a skill problem and an operating-pattern problem
  • how checkpoints, chunking, and handoffs reduce waste without over-process

Efficiency Layer v0.1 — first candidate skills

The first candidate skills should be:

  • task-chunking
  • handoff-summary
  • checkpoint-review

These are the best first candidates because they are easier to validate through real work and have the lowest overlap risk with the existing Evolution Layer.

Deferred for later

These candidates should stay deferred until the earlier trio is proven:

  • context-compression
  • prompt-framing
  • model-routing

They are more likely to overlap with agent behavior, orchestration, or AletheIA-level concerns, so they should not be the first implementation step.

What this track should not do

The Efficiency Layer should not:

  • replace the existing skills
  • reopen the Evolution Layer baseline
  • become a hidden AletheIA dependency
  • turn token efficiency into the only success measure

The point is operational sustainability, not narrow token optimization.

Plan Efficiency Layer v0 as a separate implementation track after the current Evolution Layer work is merged and used a bit more in practice.

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