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Routes coherent passage generation workflows for the Tree of Thoughts text task, including sample/vote BFS and scoring helpers.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: text description: "Routes coherent passage generation workflows for the Tree of Thoughts text task, including sample/vote BFS and scoring helpers." disable-model-invocation: true metadata: disco-role: operating license: MIT

Text

Use this sub-skill when the user wants to generate coherent passages or replay the paper's text workflow.

Covers

  • task=text runs.
  • BFS with sample generation and vote evaluation.
  • Naive standard and cot passage sampling.
  • The GPT-4-based coherency scoring helpers used by TextTask.test_output.

Excludes

  • Arithmetic puzzle solving; use sub-skills/game24/.
  • Mini crossword solving; use sub-skills/crosswords/.
  • General package installation; use the root skill.

Read and run

  • references/workflows.md for the text data file, prompt families, and the sample/vote settings.
  • references/troubleshooting.md for score-format drift and vote parser issues.
  • scripts/run_text.sh for the bundled command wrapper.

Quick command shapes

  • BFS: bash sub-skills/text/scripts/run_text.sh bfs
  • Naive standard: bash sub-skills/text/scripts/run_text.sh standard
  • Naive CoT: bash sub-skills/text/scripts/run_text.sh cot

Acceptance cues

A future agent should be able to:

  • explain why the BFS path uses sample + vote rather than propose + value;
  • tell when the final coherency score comes from the GPT-4 judge path;
  • tune the sample counts when the passage quality or vote stability is low;
  • interpret the returned rs and r fields from the scorer.
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