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Capability Graph

Reference documentation for Capability Graph in Adaptive Skills.

The Capability Graph describes how skills and modules relate during execution.

Tree for Humans, Graph for Execution

Tree for Humans, Graph for Execution — a conceptual view of discovery and composition.

It is a hybrid model:

  • a tree for human browsing;
  • a graph for operational composition.

Human discovery tree

Adaptive Skills
 ├── Engineering
 ├── Design
 ├── Business
 ├── Quality
 ├── Metrics
 ├── Cross-functional
 ├── Efficiency
 └── Planning

Operational graph

workflow ──▶ feature-planning ──▶ testing
    │              │
    │              ├──▶ premortem
    │              └──▶ checkpoint-review
    └──▶ task-chunking ──▶ handoff-summary

The graph is not a mandatory chain. It is a map of likely composition paths.

Routing principles

Routing should be explicit, small, and reviewable.

Use routing to answer:

  1. What is the dominant need?
  2. What is the smallest fitting capability?
  3. Which modules are justified by the context?
  4. What evidence should exist before closure?
  5. Does the work need AletheIA-level governance?

Example triggers

if ambiguity is medium_or_high
→ activate feature-planning with ambiguity-check

if context is getting heavy
→ activate checkpoint-review

if failure cost is meaningful and direction can still change
→ activate premortem

if next step crosses ownership boundary
→ activate handoff-summary or escalate to AletheIA

Capability graph files

The first implementation uses a metadata overlay:

  • capabilities/catalog.yaml — pilot capabilities and expected evidence.
  • capabilities/routes.yaml — advisory route selection hints.
  • capabilities/profiles.yaml — execution depth profiles.
  • capabilities/dependencies.yaml — graph relationships and escalation boundaries.

These files do not replace projections/registry.json or evolution/registry.json.

Stable versus experimental

Stable now:

  • existing skill files;
  • Core + Modules + Triggers;
  • projection registry;
  • Evolution Layer.

Experimental now:

  • capability metadata;
  • routing rules;
  • execution profiles;
  • execution records.

Not built now:

  • runtime engine;
  • graph database;
  • autonomous self-rewrite;
  • hidden policy engine.

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