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Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.
Install
Run this in your project folder. It works with Claude Code, Cursor, Codex and dozens of other agents.
$ npx skills add wshobson/agents --skill trace-to-training-dataNeeds Node.js. Add -g to install for every project, or -a claude-code to skip the agent picker.
How to use Trace To Training Data
Once it's installed, Claude reads this skill on its own whenever a request matches what it's for, so you don't have to mention it by name. In Claude Code you can also run it directly by typing /trace-to-training-data.
It contains no scripts, only instructions and reference files, so it can't run code on its own.
What the instructions cover
- 1The Principle
- 2SFT From Traces
- 3Preference Pairs From Traces
- 4Hygiene
- 5Related Skills
Section headings from the skill's SKILL.md file.
What's inside · 2 files
- SKILL.md
- references/conversion-recipes.md
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