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생산성 및 협업 · SKILL.md

dashboard

dashboard

Route Plexe's dashboard and workdir inspection workflow.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: dashboard description: "Route Plexe's dashboard and workdir inspection workflow." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

dashboard

Use this sub-skill for Plexe's Streamlit dashboard and saved-run inspection workflow. It is the right route when the user wants to browse experiment history, checkpoints, search trees, evaluation reports, or packaged model files.

Typical triggers

  • "Open the Plexe dashboard"
  • "What does this workdir contain?"
  • "Why isn't my saved run showing up?"
  • "Inspect the checkpoints or model package for this experiment"
  • "How does Plexe discover experiments in workdir/?"

What belongs here

  • python -m plexe.viz --work-dir ...
  • plexe.viz.main
  • plexe.utils.dashboard.app
  • experiment discovery and metadata extraction
  • checkpoint and report loading
  • dashboard tabs and model package presentation
  • workdir structure assumptions for saved runs

What stays out

  • Training, retraining, Spark setup, and packaging decisions belong in model-building.
  • Repository maintenance and release automation stay outside this skill.

Read these references first when needed

How to work this route

  1. Confirm the workdir path and whether the user wants the dashboard or a text summary.
  2. Check that the run has checkpoints and a packaged model before blaming the UI.
  3. Use the dashboard reference to map a question to the correct tab or file.
  4. Use the troubleshooting reference when the workdir is empty, corrupt, or incomplete.

What the dashboard expects

  • Saved experiment directories grouped by dataset name and timestamp.
  • checkpoints/*.json files for phase progress and search state.
  • .build/reports/*.yaml files for generated reports.
  • model/ and model.tar.gz for packaged model inspection.
  • model/model.yaml plus schemas/ and src/ files for the package tab.

If those files are missing, the dashboard may still open but will show warnings or empty panes.

Common questions this route answers

  • Which phase did the run reach?
  • Why is a run marked failed, paused, or running?
  • What did the best search node look like?
  • Did the package get written and what files does it contain?
  • Which saved runs exist for a given dataset?

Decision points

  • If the path exists but no experiments appear, check the depth and naming convention first.
  • If the run exists but a tab is empty, inspect whether the corresponding checkpoint or report file was written.
  • If the package tab is missing fields, confirm the final packaging phase completed.
  • If you only need a text summary, use the bundled workdir inspector instead of opening Streamlit.

Bundle ownership

This sub-skill owns the dashboard workflow reference and its troubleshooting notes. The root skill should only route here, not duplicate the tab-by-tab behavior.

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