Debug AI suggestion quality, context issues, and code generation problems in Cursor.

MITAuto-check passedDevelopment

Install Cursor Debug Bundle

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill cursor-debug-bundle -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace cursor-debug-bundle --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/cursor-debug-bundle .claude/skills/cursor-debug-bundle && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cursor-debug-bundle
GitHub stars
2.8k
Token cost
~2.1k tokens
SKILL.md length
690 words
Files
5 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Debug AI suggestion quality, context issues, and code generation problems in Cursor.

  • Works in 4 steps: Start with the smallest reproducible… → Record versions, active context,… → Remove proprietary code, credentials,… → …
  • Debug cursor ai
  • SKILL.md covers Overview, Prerequisites, Instructions and Diagnostic Framework, plus 8 more sections
  • Calls npm and cursor

What it does

Cursor Debug Bundle is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/debugging-chat-issues.md`, `references/debugging-completions.md` and `references/errors.md`). Compatibility notes: Designed for Claude Code

It sits in Development, covering Debugging. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Debug cursor ai
  • Cursor suggestions wrong
  • Bad cursor completion
  • Cursor ai debug

Example prompts

  • “debug cursor ai”
  • “cursor suggestions wrong”
  • “bad cursor completion”
  • “/cursor-debug-bundle”

Requirements

  • Node.js
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*)

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Start with the smallest reproducible prompt, file set, rule set, and model configuration.
  2. Record versions, active context, indexing state, extensions, and redacted console errors.
  3. Remove proprietary code, credentials, identifiers, and full prompt/output text before sharing externally.
  4. Test the proposed resolution in a non-sensitive workspace and document its result before closing the issue.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(cmd:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm
    • cursor

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • docs.cursor.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Cursor Debug Bundle loads about 2.1k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 690 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 690 words, ~2,096 tokens.

Download SKILL.mdSave it as .claude/skills/cursor-debug-bundle/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
cursor-debug-bundle
description
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".
allowed-tools
Read, Write, Edit, Bash(cmd:*)
compatibility
Designed for Claude Code
version
1.19.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, cursor, debugging

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.
  2. Record versions, active context, indexing state, extensions, and redacted console errors.
  3. Remove proprietary code, credentials, identifiers, and full prompt/output text before sharing externally.
  4. Test the proposed resolution in a non-sensitive workspace and document its result before closing the issue.

Diagnose and fix AI suggestion quality issues in Cursor. Covers why AI generates wrong code, how to improve context, and systematic debugging workflows.

Diagnostic Framework

When AI suggestions are wrong, the cause is almost always one of these:

┌─ Context Problems (80% of issues) ───────────────────────┐
│  1. Missing context: AI doesn't have the relevant code   │
│  2. Wrong context: AI has stale or irrelevant files      │
│  3. Too much context: context window overflow            │
│  4. No project rules: AI doesn't know your conventions   │
└──────────────────────────────────────────────────────────┘
┌─ Model Problems (15% of issues) ─────────────────────────┐
│  5. Wrong model for the task                             │
│  6. Model hallucinating APIs or patterns                 │
└──────────────────────────────────────────────────────────┘
┌─ Prompt Problems (5% of issues) ─────────────────────────┐
│  7. Ambiguous or vague instructions                      │
│  8. Conflicting requirements in prompt                   │
└──────────────────────────────────────────────────────────┘

Debugging by Symptom

AI Uses Wrong API or Library Version

Symptom: Generated code uses React.createClass, old Express syntax, or deprecated patterns.

Root cause: Model training data includes old code. No project rules specifying versions.

Fix:

yaml
# .cursor/rules/stack-versions.mdc
---
description: "Tech stack version pinning"
globs: ""
alwaysApply: true
---
# Stack Versions (ALWAYS use these)
- React 19 with Server Components (NOT class components)
- Next.js 15 App Router (NOT Pages Router)
- TypeScript 5.7 strict mode
- Prisma 6 (NOT Sequelize or TypeORM)
- Tailwind CSS 4 (NOT styled-components)
- Node.js 22 (ESM, NOT CommonJS require())
AI Generates Code That Doesn't Match Your Patterns

Symptom: Generated code uses different naming, structure, or patterns than your codebase.

Root cause: AI does not have your existing code as context.

Fix: Reference your existing patterns explicitly:

@src/api/users/route.ts

Create src/api/products/route.ts following the EXACT same patterns:
same error handling, same response format, same validation approach.
AI Hallucinates Non-Existent Functions

Symptom: AI calls functions or uses imports that do not exist in your project or in the library.

Root cause: Model confuses similar libraries or invents plausible-sounding APIs.

Fix:

  1. Add @Docs context: @Docs Prisma gives the AI real API documentation
  2. Verify generated imports: run npm run build immediately after applying
  3. Use @Files to show the actual module interface: @src/lib/database.ts
AI Ignores Your Instructions

Symptom: You ask for one thing, AI does something different.

Root cause: Context window overflow -- your instructions get pushed out by file contents.

Fix:

  1. Start a new chat (Cmd+N) -- conversation history may be using too much context
  2. Use fewer @ references -- each consumes context budget
  3. Put instructions at the end of the prompt (models attend more to recent text)
  4. Use @Files instead of @Codebase to reduce context volume
Show full SKILL.md (302 more words)Show less
Tab Completion is Repetitive or Wrong

Symptom: Tab keeps suggesting the same wrong pattern.

Root cause: Tab has limited context compared to Chat/Composer.

Fix:

  1. Open related files in editor tabs (Tab reads open tabs)
  2. Add a comment above your cursor describing what you want
  3. Reject bad suggestions with Esc (trains the model)
  4. If persistently wrong, use Cmd+K inline edit instead

Systematic Debug Workflow

When AI output is consistently wrong:

Step 1: Check context
  - Open Chat, look at context pills at top
  - Are the right files included?
  - Are stale files adding noise?

Step 2: Check rules
  - @Cursor Rules in chat -- what rules are active?
  - Do rules conflict with each other?
  - Are glob patterns matching the right files?

Step 3: Test with minimal context
  - Start new chat
  - Add ONLY the most relevant file: @src/the-file.ts
  - Ask your question with explicit constraints
  - If this works, the issue was context pollution

Step 4: Test with different model
  - Switch from Sonnet to Opus or GPT-5
  - If better model gives better results, the task needs more reasoning power

Step 5: Check indexing
  - Is the codebase indexed? (status bar shows "Indexed")
  - Is the relevant file excluded by .cursorignore?
  - Run Cmd+Shift+P > "Cursor: Resync Index"

Logs and Diagnostics

Opening Developer Tools

Cmd+Shift+P > Developer: Toggle Developer Tools

Check the Console tab for:

  • API request errors (red)
  • Context assembly logs
  • Extension errors
Verbose Logging

Enable verbose output: Cursor Settings > search "log level" > set to "Debug"

Logs location:

  • macOS: ~/Library/Application Support/Cursor/logs/
  • Linux: ~/.config/Cursor/logs/
Reproducing Issues for Bug Reports
1. Note Cursor version: Help > About
2. Note model used (from Chat/Composer header)
3. Copy the exact prompt that produced wrong output
4. Copy the wrong output
5. List active extensions: Cmd+Shift+P > "Extensions: Show Installed"
6. Note if Privacy Mode is on (affects model behavior)
7. Report at forum.cursor.com or github.com/getcursor/cursor/issues

Enterprise Considerations

  • Quality baselines: Track AI suggestion accuracy over time per team/project
  • Model pinning: If a model update degrades quality, temporarily switch to a different model while reporting
  • Rule audits: Periodically review .cursor/rules/ for outdated or conflicting rules
  • Training: Ensure team knows the difference between context, model, and prompt issues

Output

  • A redacted reproduction bundle containing versions, minimal steps, active configuration, and observed/expected behavior.
  • A disposition: resolved with evidence, vendor escalation, or internal policy/configuration change.

Error Handling

ConditionSafe response
Bundle contains proprietary code or credentialsStop distribution, remove the material, rotate exposed secrets, and recreate a minimal redacted reproducer.
Issue cannot reproduceRecord the exact environment delta and keep the issue open for additional evidence.
Debugging changes global settingsRevert after the test or use a disposable profile.

Examples

For a bad-context report, create a new chat with one sanitized file and a short non-sensitive request. Record the Cursor version, active rules, selected model, expected and observed behavior, then attach only redacted material approved for the support channel.

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/.curated/cursor-debug-bundle of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/debugging-chat-issues.md
  • references/debugging-completions.md
  • references/errors.md
  • references/examples.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Cursor Debug Bundle next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cursor Debug Bundle compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cursor Debug Bundle this skilljeremylongshore/tons-of-skills-marketplace2.8k—~2.1kAutomated safety check: PassMIT
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Cursor Debug Bundle

What does Cursor Debug Bundle do?

Debug AI suggestion quality, context issues, and code generation problems in Cursor. Cursor Debug Bundle is an agent skill from jeremylongshore/tons-of-skills-marketplace. Debug AI suggestion quality, context issues, and code generation problems in Cursor.

When should I use Cursor Debug Bundle?

Cursor Debug Bundle fits situations like: debug cursor ai; Cursor suggestions wrong; bad cursor completion; Cursor ai debug.

How do I install Cursor Debug Bundle in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill cursor-debug-bundle -a claude-code`. Or copy the skill folder (skills/.curated/cursor-debug-bundle in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/cursor-debug-bundle in your project. Claude Code loads it when a task matches its description.

How do I install Cursor Debug Bundle in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill cursor-debug-bundle -a codex`. Or copy the skill folder (skills/.curated/cursor-debug-bundle in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/cursor-debug-bundle in your project. Codex loads it when a task matches its description.

Can I use Cursor Debug Bundle in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill cursor-debug-bundle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cursor-debug-bundle, .gemini/skills/cursor-debug-bundle, .github/skills/cursor-debug-bundle and .opencode/skills/cursor-debug-bundle in your project.

What does Cursor Debug Bundle need to run?

Going by SKILL.md and its folder, Cursor Debug Bundle needs the command-line tools its instructions call (npm and cursor). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Cursor Debug Bundle access the network?

SKILL.md names 2 domains. As links in the text: github.com and docs.cursor.com. This is read from the text; nothing was executed.

Is Cursor Debug Bundle safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cursor Debug Bundle use?

Cursor Debug Bundle is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cursor Debug Bundle use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 682 tokens, read only when the agent opens those files.

What are the alternatives to Cursor Debug Bundle?

Skills that share tags, products or a category with Cursor Debug Bundle: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Aoti Debug (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cursor Debug Bundle?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.