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analysis-experiments

analysis-experiments

Collect Mesa experiment data, run scenario sweeps, and use experimental actions, states, signals, and meta-agent analysis helpers.

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Skill-Dokumentation

GitHub

name: analysis-experiments description: "Collect Mesa experiment data, run scenario sweeps, and use experimental actions, states, signals, and meta-agent analysis helpers." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Analysis Experiments

Use this sub-skill when a Mesa task is about experiment outputs, scenario orchestration, or experimental analysis helpers rather than basic model structure or visualization.

Use for

  • DataCollector reporters, model / agent / agent-type DataFrames, and manual tables.
  • Experimental mesa.experimental.data_collection datasets, registries, and recorders.
  • Experimental Scenario, RunConfiguration, run_scenarios, stores, statuses, and failure diagnostics.
  • Experimental timed Action lifecycles, continuous states, thresholds, reactive signals, and batching.
  • Experimental MetaAgent grouping utilities for higher-order agent analysis.

Start here

  • API reference for signatures, import paths, return shapes, and stability notes.
  • Workflows for copyable collection, recorder, scenario, signal/state/action, and meta-agent recipes.
  • Troubleshooting for reporter validation, recorder setup, scenario failure origins, pickling, and experimental API pitfalls.
  • DataCollector smoke script for a safe installed-package check that emits JSON summaries.
  • Scenario smoke script for a safe installed-package check of Scenario, RunConfiguration, run_scenarios, and failure recording.

Route elsewhere

  • Core Model, Agent, AgentSet, activation, RNG, and event scheduling basics: model-core
  • Spatial placement, movement, grids, networks, cells, or continuous-space geometry: spaces
  • Solara dashboards, browser visualization, plotting widgets, charts, or rendering: visualization

All APIs under mesa.experimental are experimental and may change between Mesa releases. Treat this sub-skill as the self-contained operating reference; no external repository files are required at runtime.

Gespeicherte Skills