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Skill Hierarchy

Process-primitive skills form a strict layered DAG. A skill's spec.uses field may only reference skills in lower layers. Cycles are validation errors.

The layers

LayerRoleSkills
0Foundationindex-management, id-management, event-log
1Primitive managementrole-management, actor-profile
2Core entitiesworkitem-management, decision-record, scope-management, category-management, cross-reference-management, binding-management
3Workflow policygate-management, constraint-management; legacy/migration guidance for process-management, state-machine-management, schedule-management
4Cross-cuttingdiscussion-management, metrics-management

Layer 0 has three skills with one intra-layer edge. index-management and id-management are the absolute foundation — they depend on nothing. event-log is also Layer 0 but uses: [index-management, id-management], so it conceptually sits "atop" them. This is the only intra-layer edge in the entire hierarchy. The strict-downward rule applies to Layers 1+ unchanged.

What the layers mean

  • Layer 0 — the foundation that every entity-creating skill depends on. index-management provides the read side (look up entities by ID, kind, state, text). id-management provides the write side (allocate unique IDs in the configured format). event-log is also at Layer 0 but uses both — the only intra-layer edge in the hierarchy.
  • Layer 1 — management for the "participants" of processes: Actors (who does things) and Roles (what things they do).
  • Layer 2 — management for the primary work artifacts: WorkItems, DecisionRecords, Scopes. Depends on Layers 0–1.
  • Layer 3 — workflow policy: Gates and Constraints tie Layer 2 entities together. Process, Schedule, and StateMachine skills remain as legacy/migration guidance; v2 expresses runs as WorkItems, definitions as Artifacts, recurrence as time-window Bindings, and lifecycle enforcement through MCP server contracts.
  • Layer 4 — cross-cutting concerns that reference everything: Discussions produce decisions and reference work items; metrics-management records metric specifications as artifacts and observations as LogEntries. This is a skill-layer placement, not a Metric primitive.

Technical/language skills are unlayered

Skills in categories like language, framework, infrastructure, database, data, ai, security, observability, performance, design are layer: null. They don't fit the layered hierarchy — they describe how to do engineering things, not how to manage process artifacts. Such skills can still use spec.uses for other technical skills (e.g. fastapi-patterns uses python-best-practices).

Validation

Phase 5 of the DISC-002 plan adds DAG validation to the index MCP server:

  • Every spec.uses entry must reference an existing skill.
  • For process-primitive skills, each referenced skill's spec.layer must be strictly less than the referencing skill's spec.layer.
  • No cycles are permitted.