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Runtime Boundaries
One of the strongest architectural principles of Weave Skills became:
The runtime preserves invariants.
The agent performs inference.
This separation defines the operational boundaries of the system.
It stabilizes:
- deterministic behavior
- contextual continuity
- operational reasoning
- semantic consistency
- and bounded contextual reasoning
inside real engineering repositories.
Without clear boundaries, contextual systems tend to drift toward:
- ontology escalation
- repository semanticization
- graph authority
- orchestration inflation
- and unstable contextual behavior
The architecture intentionally avoids these failure modes through strict separation of responsibilities.
The system separates responsibilities across operational layers.
| Layer | Responsibility |
|---|---|
| Filesystem | Repository structure |
| Runtime | Invariants |
| Serializer | Canonical structure |
| Skills | Operational capabilities |
| Agents | Contextual inference |
Each layer intentionally remains bounded.
The runtime remains authoritative.
The runtime is responsible for:
- normalization
- validation
- canonical serialization
- deterministic-safe editing
- semantic consistency
- and structural correctness
The runtime owns:
structural invariants
rather than contextual reasoning.
The runtime preserves:
- deterministic-safe markdown structure
- serializer-safe formatting
- canonical metadata behavior
- normalized semantic structures
- and workspace consistency
Examples include:
- metadata normalization
- canonical frontmatter handling
- structural markdown correctness
- serializer-safe transformations
- and invariant preservation
Skills intentionally DO NOT:
- normalize repositories
- preserve invariants
- own semantic structure
- serialize canonical state
- mutate runtime semantics
- or replace deterministic systems
This became critically important for architectural stability.
Skills only influence:
- contextual reasoning
- workflow continuity
- operational heuristics
- implementation grounding
- and contextual interpretation
inside workflows.
Skills behave as:
operational capabilities
NOT:
- runtimes
- orchestration systems
- semantic authorities
- or structural ownership layers
Agents are responsible for:
- inference
- contextual synthesis
- implementation reasoning
- operational interpretation
- and continuity behavior
Agents intentionally remain:
- filesystem-aware
- bounded
- implementation-grounded
- and operationally constrained
The serializer preserves canonical structure.
The serializer is responsible for:
- deterministic formatting
- normalized markdown structure
- metadata consistency
- and serializer-safe editing
This prevents:
- markdown drift
- structural fragmentation
- semantic inconsistency
- and unstable contextual state
The architecture intentionally prioritizes:
deterministic-safe contextual workflows
This means:
- runtime invariants remain stable
- structural correctness remains authoritative
- and contextual overlays cannot corrupt canonical structures
This separation became one of the strongest stabilizers of the system.
Contextual reasoning remains intentionally bounded.
Skills may influence:
- interpretation
- continuity
- contextual relationships
- and operational workflows
But they do NOT redefine:
- repository structure
- semantic ownership
- serializer behavior
- or runtime invariants
The filesystem remains authoritative.
Repository structure preserves:
- locality
- implementation relationships
- runtime boundaries
- operational context
- and workflow continuity
The runtime intentionally preserves filesystem reality rather than replacing it with semantic abstractions.
Semantic participation remains intentionally bounded.
Recommended semantic root:
.context/notes
Only files inside semantic scope:
- participate in symbolic semantics
- support semantic navigation
- and participate in contextual reasoning
Files outside semantic scope remain:
- implementation artifacts
- operational resources
- repository context
- and external references
Core principle:
semantic scope != filesystem scope
Wikilinks operate as:
bounded symbolic contextual references
NOT:
- ontology primitives
- graph-authoritative edges
- semantic ownership structures
- or repository-global semantic relationships
The graph MAY emerge naturally from symbolic references.
The graph MUST remain secondary to:
- filesystem authority
- runtime invariants
- implementation locality
- and deterministic-safe behavior
The separation between:
- runtime authority
- serializer authority
- skill capabilities
- and agent inference
prevents systems from drifting toward:
- ontology-heavy architectures
- graph-owned repositories
- orchestration inflation
- semantic ownership escalation
- and unstable contextual behavior
This became one of the strongest convergence points of the architecture.
Normalize frontmatter structure.
Interpret operational context
inside the note.
Reason about implementation continuity
using the contextual information.
Each responsibility remains intentionally bounded.
The runtime intentionally preserves:
- predictable structures
- canonical serialization
- deterministic behavior
- and operational consistency
This stabilizes:
- contextual recovery
- implementation tracing
- workflow continuity
- and long-running operational continuity
The architecture intentionally prioritizes:
long-running operational continuity
inside real repositories.
This requires:
- stable runtime invariants
- deterministic-safe structures
- bounded semantics
- and filesystem authority
Without these boundaries, contextual systems become unstable over time.
The architecture intentionally favors:
small
bounded
deterministic
filesystem-native
implementation-grounded
rather than:
large
semanticized
ontology-driven
graph-authoritative
orchestration-heavy
This became one of the strongest architectural conclusions of the project.