Score captured traces and output JSONL rows for the SkillOpt optimizer.
npx skills add https://github.com/JayFarei/opentraces --skill skill-opt-v1
Please help me install this Agent Skill. Skill: skill-opt-v1 Source: https://github.com/JayFarei/opentraces/tree/main/src/opentraces/workflow_templates/skill-opt-v1 Command: npx skills add https://github.com/JayFarei/opentraces --skill skill-opt-v1
This Skill addresses the need for a streamlined process to project already-captured traces into scored-rollout rows for the SkillOpt optimizer, automating the assessment and preparation of evidence for optimization.
opentraces.quality.engine.assess_trace.opentraces workflow optimize consumer, which then proposes and evaluates skill edits.Use the skill-opt-v1 skill to score and prepare evidence for the SkillOpt optimizer with the provided trace data.
High-intent search queries and answers about installing and using this skill.
Automate trace scoring for skill optimization by using this skill to process captured traces from your local bucket, assess quality via the opentraces library, and output scored JSONL rows for the optimizer.
The best way to prepare JSONL evidence rows is to project captured traces through an automated assessment pipeline that scores each trace and extracts essential information like utility and tags into the required format.
Yes, you need the opentraces library to assess trace quality because this skill depends on its specific data manipulation and quality assessment engine to evaluate and score traces accurately.
Trace assessment integrates with the SkillOpt optimizer by outputting prepared JSONL rows that the opentraces workflow optimize consumer then ingests to propose and evaluate skill edits.
Yes, you can use this skill to process traces directly from a local bucket as it is designed to read captured trace data, assess its quality, and prepare it for downstream optimization tasks.
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