Individual skill
graph-engineering
Use when a workflow has explicit data dependencies, independently executable branches, typed joins, or node-local recovery needs that justify a bounded static dependency graph.
skills/graph-engineering/SKILL.md
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- claude-skills Repository topic
- agentic Repository topic
- ai-agents Repository topic
- cursor-rules Repository topic
- knowledge-management Repository topic
- obsidian Repository topic
- codex Repository topic
- ontology Repository topic
- loop Repository topic
- loop-engineering Repository topic
- engineering Derived category
- operations Derived category
- data Derived category
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Read excerpt
# Graph Engineering
<skill_contract>
<input>A dependency-heavy objective with candidate nodes, data schemas, owners, effects, verifiers, joins, budgets, and durable state paths.</input>
<output>A validated static DAG contract with typed edges, explicit joins, node-local recovery, and graph-level receipts.</output>
<done>Static invariants and terminal acceptance checks pass with fresh node, join, budget, permission, and state evidence.</done>
<non_goals>Temporal loop design, worker-team command, runtime-kernel implementation, dynamic graphs, or universal parallelism.</non_goals>
Use Graph Engineering for dependency width. Use `loop-engineering` for repeated
execution through time, `agent-teams-command` for process ownership and IPC,
and `harness-engineering` for scheduler, permission, lease, and observability
infrastructure. A graph node may contain a bounded Loop or Agent Team.
## Usage Template