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maragudk/evals-skills

SkillsMP has collected 4 skills from maragudk/evals-skills. Open a skill to review its source and details.

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Showing 4 of 4 collected skills.

occupation
Software Developers
description

Generate a custom trace annotation web app for open coding during LLM error analysis. Use when the user wants to review LLM traces, annotate failures with freeform comments, and do first-pass qualitative labeling (open coding). Also use when the user mentions…

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occupation
Data Scientists
description

Build a structured taxonomy of failure modes from open-coded trace annotations. Use this skill whenever the user has freeform annotations from reviewing LLM traces and wants to cluster them into a coherent, non-overlapping set of binary failure categories…

updated
occupation
Software Developers
description

Use this skill when crafting, reviewing, or improving prompts for LLM pipelines — including task prompts, system prompts, and LLM-as-Judge prompts. Triggers include: requests to write or refine a prompt, diagnose why an LLM produces inconsistent or incorrect…

updated
occupation
Software Quality Assurance Analysts & Testers
description

Build, validate, and deploy LLM-as-Judge evaluators for automated quality assessment of LLM pipeline outputs. Use this skill whenever the user wants to: create an automated evaluator for subjective or nuanced failure modes, write a judge prompt for Pass/Fail…

updated
Showing 4 of 4 collected skills.