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early-experience-data - Generate early-experience SFT data

Generates, collects, inspects, and prepares early-experience training data for agent environments as expert, IWM, and reflection SFT JSONL files.

Tags

Updated: 2026-10-01

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Generate expert trajectories
  • Generate IWM training data
  • Generate reflection training data
  • Run environment smoke tests
  • Inspect generated samples
  • Prepare SFT-ready JSONL

Inputs

  • Agent environment repository
  • METHOD.md
  • method_recap.md
  • pitfalls.md
  • Environment NOTES.md
  • Generator model choice
  • User batch approval
  • User filter approval

Outputs

  • Expert SFT JSONL files
  • IWM SFT JSONL files
  • Reflection SFT JSONL files
  • Environment pipeline records

Requirements

  • LLM API access
  • A supported generator model
  • A runnable agent environment
  • Access to the native evaluator

Source

  • Spec: SKILL.md
early experience
agent environments
implicit world modeling
self-reflection
SFT data
JSONL
Generate expert trajectories
Generate IWM training data
Generate reflection training data
Run environment smoke tests
Agent environment repository
METHOD.md
method_recap.md
Expert SFT JSONL files
IWM SFT JSONL files
Reflection SFT JSONL files