Agent skill · magnus919
semantic-spacetime
Model and diagnose shared semantic ground between agents with Semantic Spacetime (Mark Burgess, 2014-2025): a discrete graph model of meaning over time, where local proper time replaces global clocks, causality is cooperative promises, and gamma(3,4) graphs expose semantic drift, world model divergence, and absorbing states. Use for designing convergent self-healing coordination, modeling intent and trajectories over time, mapping promises onto spacetime, diagnosing semantic drift or dead-ends, and analyzing temporal blindness in agents. Do not use for physics or relativity, pure vector embeddings or RAG without temporal-causal structure, enforceable centralized control, simple single-agent prompting, or tool manuals — route those to the appropriate skill.
What it needs
About 7k tokens when loaded.
What this skill does
Semantic Spacetime Semantic Spacetime (SST) is Mark Burgess's discrete, graph-theoretic model of meaning over time. A semantic element is one autonomous agent plus its scalar promises; a semantic spacetime is a collection of such elements in which a local change in state, promises, or configuration is a local unit of time. Time is proper time — there is no global clock (the precedence view Burgess credits to Lamport). Causality is cooperative: every adjacency requires an offer (+) and an acceptance (−) promise on both ends, so space is made of cooperating nodes and edges. The 2025 γ(3,4) formalism types the graph: three node meta-types (events, things, concepts) connected by four link types (0 = NEAR, ±1 = LEADS TO, ±2 = CONTAINS, ±3 = EXPRESSES). Absorbing states in partial graphs leak information, and intentionality enters at the boundary. SST is built on Promise Theory — for the promise vocabulary, load promise-theory instead of re-deriving it here. This skill is a thin router: load the dense material only when a row in Load By Need matches your task. When to use When you need to design or analyze shared semantic ground between agents — model what "meaning" means in this system (what does a concept, term, or promise mean to whom), producing a γ(3,4) map of the shared semantic ground as the artifact. When you need to model intent or meaning over time — trajectories, drift, and convergence of understanding between agents, agents and humans, or agents and their instructions; the artifact is a semantic trajectory with recorded observations. When you need to design convergent, self-healing coordination — a loop in which state is continuously measured against a desired meaning and repaired toward it; model the loop as semantic elements whose local change is time. When you need to diagnose semantic drift, divergence, or dead-ends — absorbing states, meaning gaps, and non-converging agents; the artifact is a drift finding with the leaking boundary identified. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills magnus919/semantic-spacetime