Individual skill
cursor-debug-bundle
Debug AI suggestion quality, context issues, and code generation problems in Cursor. Triggers on "debug cursor ai", "cursor suggestions wrong", "bad cursor completion", "cursor ai debug", "cursor hallucination".
skills/.curated/cursor-debug-bundle/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- cursor Declared skill tag
- debugging Declared skill tag
- testing Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 8,937 bytesreferences/debugging-chat-issues.mddoc · 744 bytesreferences/debugging-completions.mddoc · 903 bytesreferences/errors.mddoc · 599 bytesreferences/examples.mddoc · 482 bytes
Read excerpt
# Cursor Debug Bundle
## Overview
Collect a minimal, redacted reproduction for a Cursor issue involving context, rules, indexing, model behavior, or extensions. Debug material may contain proprietary code or prompts, so scope and retention matter as much as reproducibility.
## Prerequisites
- A named issue owner, Cursor version, affected workspace, and approved bug-report destination.
- Permission to inspect logs and settings, plus redaction rules for code, prompts, paths, tokens, and user data.
- A minimal reproducer that does not require customer data or production credentials.
## Instructions
1. Start with the smallest reproducible prompt, file set, rule set, and model configuration.