generate-github-bug-report

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Actualizado20 de marzo de 2026 a las 20:42

Use when generating a high-quality GitHub bug report following the repository's specific templates and standards.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Fuente

gethnet

gethnet/litellm-connector-copilot

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SKILL.md

readonly

name	generate-github-bug-report
description	Use when generating a high-quality GitHub bug report following the repository's specific templates and standards.

Generate GitHub Bug Report

Use this skill to create well-structured, detailed, and actionable bug reports that adhere to the repository's .github/ISSUE_TEMPLATE/bug_report.yml (or similar) requirements.

Outcome

A complete, Markdown-formatted bug report (or YAML-aligned text) ready to be pasted into a GitHub issue, containing all necessary reproduction steps, environment details, and logs.

Workflow

1. Gather Context

Identify the core issue: What is broken? What was the user trying to do?
Collect environment details:
- AI/LLM Provider (OpenAI, Anthropic, etc.)
- AI/LLM Model name (gpt-4o, claude-3-5-sonnet, etc.)
- VS Code version and Extension version.
Locate error logs: Check the "LiteLLM" output channel or VS Code Developer Tools (Console).

2. Formulate Reproduction Steps

Create a clear, numbered list of steps.
Start from a neutral state (e.g., "Open VS Code").
Be specific about inputs or configurations used.

3. Define Expectations

Contrast "What happened" (Actual) with "What should have happened" (Expected).

4. Apply Template Structure

Follow the structure defined in .github/ISSUE_TEMPLATE/bug_report.yml:

Title: Prefix with [Bug]: followed by a concise summary.
Description: Clear summary of the bug.
Steps to Reproduce: Numbered list.
Expected Behavior: What you wanted to see.
Environment & LLM Details:
- Provider: Specify the backend.
- Model: Specific model string.
Error Output/Log: Wrap logs in ```shell blocks.
Additional Context: Screenshots, related issues, or specific workspace settings.

Quality Criteria

Actionable: A maintainer should be able to follow the steps and see the bug.
Complete: No missing mandatory fields (Provider, Model, Logs).
Clean: Proper Markdown formatting, no unnecessary "noise" or conversational filler.

Example Prompt to Invoke

"I'm getting a 401 error when trying to use the completions provider with my local LiteLLM proxy. Can you generate a bug report for me?"

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Generate GitHub Bug Report

Use this skill to create well-structured, detailed, and actionable bug reports that adhere to the repository's .github/ISSUE_TEMPLATE/bug_report.yml (or similar) requirements.

Outcome

A complete, Markdown-formatted bug report (or YAML-aligned text) ready to be pasted into a GitHub issue, containing all necessary reproduction steps, environment details, and logs.

Workflow

1. Gather Context

Identify the core issue: What is broken? What was the user trying to do?

Collect environment details:

AI/LLM Provider (OpenAI, Anthropic, etc.)
AI/LLM Model name (gpt-4o, claude-3-5-sonnet, etc.)
VS Code version and Extension version.

Locate error logs: Check the "LiteLLM" output channel or VS Code Developer Tools (Console).

2. Formulate Reproduction Steps

Create a clear, numbered list of steps.

Start from a neutral state (e.g., "Open VS Code").

Be specific about inputs or configurations used.

3. Define Expectations

Contrast "What happened" (Actual) with "What should have happened" (Expected).

4. Apply Template Structure

Follow the structure defined in .github/ISSUE_TEMPLATE/bug_report.yml:

Title: Prefix with [Bug]: followed by a concise summary.

Description: Clear summary of the bug.

Steps to Reproduce: Numbered list.

Expected Behavior: What you wanted to see.

Environment & LLM Details:

Provider: Specify the backend.
Model: Specific model string.

Error Output/Log: Wrap logs in ```shell blocks.

Additional Context: Screenshots, related issues, or specific workspace settings.

Quality Criteria

Actionable: A maintainer should be able to follow the steps and see the bug.

Complete: No missing mandatory fields (Provider, Model, Logs).

Clean: Proper Markdown formatting, no unnecessary "noise" or conversational filler.

Example Prompt to Invoke

"I'm getting a 401 error when trying to use the completions provider with my local LiteLLM proxy. Can you generate a bug report for me?"