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Workflow Examples
Manuel Gil edited this page Jul 27, 2026
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1 revision
This document demonstrates practical workflows supported by Weave Skills.
The examples focus on:
- implementation grounding
- operational continuity
- contextual recovery
- and long-running engineering workflows
inside real repositories.
context should survive longer than a single AI session
The system prioritizes preserving:
- debugging continuity
- implementation context
- runtime observations
- unresolved operational state
- and architectural reasoning
across sessions, tools, and contributors.
The goal is not repository-wide semantic persistence.
The goal is recovering implementation-grounded operational context without reconstructing previous investigations from scratch.
Weave Skills intentionally favors:
implementation-grounded operational continuity
over:
- repository-wide semantic modeling
- graph-authoritative relationships
- and ontology-oriented repository abstraction
Operational context remains tied to:
- implementation locality
- runtime behavior
- filesystem structure
- and engineering workflows
inside real repositories.