ai-fixing-errors

Name: ai-fixing-errors
Rating: 5 (6 reviews)
Author: lebsral

Fix broken AI features. Use when your AI is throwing errors, producing wrong outputs, crashing, returning garbage, not responding, or behaving unexpectedly. Also use when you get Could not parse LLM output errors, DSPy program crashes, LLM timeout or rate limit errors, API key not working with DSPy, JSON parse error from LLM, model returns empty response, AI works sometimes but fails other times,

6stars

Updated last month

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How to add

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

[![Listada na Skillteca](https://www.skillteca.com.br/api/badge/ai-fixing-errors/svg)](https://www.skillteca.com.br/skills/ai-fixing-errors?utm_source=badge&utm_medium=readme&utm_campaign=badge)

#llm #ai #api

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Fix Your Broken AI

Systematic approach to diagnosing and fixing AI features that aren't working.

Step 1 — Gather context

Before debugging, ask the user:

What error message or unexpected behavior are you seeing? (paste the traceback or describe the output)
Did this work before, or is it a new feature that has never worked?
Are you using an optimizer, or is this a zero-shot / few-shot program?
What LM provider and model are you using?