Agent skill

Cursor Known Pitfalls

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Avoid common Cursor IDE pitfalls: AI feature mistakes, security gotchas, configuration errors, and team workflow issues.

MITAuto-check: notesDevelopment

Install Cursor Known Pitfalls

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace cursor-known-pitfalls --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-known-pitfalls .claude/skills/cursor-known-pitfalls && 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-known-pitfalls
GitHub stars
2.8k
Token cost
~2.4k tokens
SKILL.md length
934 words
Files
11 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Avoid common Cursor IDE pitfalls: AI feature mistakes, security gotchas, configuration errors, and team workflow issues.

  • Works in 3 steps: Identify the relevant pitfall before… → Narrow context and task scope, then… → Record recurring failures in reviewed…
  • Cursor pitfalls
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 7 more sections
  • Calls cursor

What it does

Cursor Known Pitfalls is an agent skill from jeremylongshore/tons-of-skills-marketplace. Avoid common Cursor IDE pitfalls: AI feature mistakes, security gotchas, configuration errors, and team workflow issues. Triggers on "cursor pitfalls", "cursor mistakes", "cursor gotchas", "cursor issues", "cursor problems", "cursor tips".

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `references/ai-feature-pitfalls.md`, `references/completion-pitfalls.md` and `references/configuration-pitfalls.md`). Compatibility notes: Designed for Claude Code

It sits in Development. 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

  • Cursor pitfalls
  • Cursor mistakes
  • Cursor problems

Example prompts

  • “cursor pitfalls”
  • “cursor mistakes”
  • “cursor gotchas”
  • “/cursor-known-pitfalls”

Requirements

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

Workflow steps

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

  1. Identify the relevant pitfall before accepting a suggestion or changing configuration.
  2. Narrow context and task scope, then verify the resulting diff and tests.
  3. Record recurring failures in reviewed rules or team guidance rather than relying on memory.

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:

    • 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):

    • cursor.com
    • forum.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 Known Pitfalls loads about 2.4k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 934 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:137
    - .env file contents
  • NoteMentions a .env fileSKILL.md:150
    ithout `.cursorignore`, sensitive files (.env, credentials, PII) may be included in AI context via `@Codebase` search or
  • NoteMentions a .env fileSKILL.md:155
    .env*

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). 934 words, ~2,354 tokens.

Download SKILL.mdSave it as .claude/skills/cursor-known-pitfalls/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
cursor-known-pitfalls
description
Avoid common Cursor IDE pitfalls: AI feature mistakes, security gotchas, configuration errors, and team workflow issues. Triggers on "cursor pitfalls", "cursor mistakes", "cursor gotchas", "cursor issues", "cursor problems", "cursor tips".
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, cursor-known

Cursor Known Pitfalls

Overview

Use these pitfalls as preflight checks for AI-assisted work: context leakage, over-broad edits, stale rules, unsupported assumptions, and misplaced trust in generated output.

Prerequisites

  • Project rules, data classification, and a normal review/test path for the work.
  • A non-sensitive reproduction or sample when evaluating a Cursor behavior.

Instructions

  1. Identify the relevant pitfall before accepting a suggestion or changing configuration.
  2. Narrow context and task scope, then verify the resulting diff and tests.
  3. Record recurring failures in reviewed rules or team guidance rather than relying on memory.

Output

  • A documented prevention or remediation action tied to a specific Cursor failure mode.

Error Handling

ConditionSafe response
AI output is plausible but unverifiedTreat it as a proposal and run normal review/tests.
Context contains excluded materialStop, remove it, and follow exposure policy.
Rule causes repeated wrong outputRevise it through review and test on a fixture.

Examples

Before accepting a multi-file refactor, check that it has an explicit file list, does not include secret/generated paths, and has tests. Reject broad changes and split the request when any of those checks fail.

Common Cursor IDE pitfalls and their solutions. Organized by category: AI behavior, security, configuration, performance, and team collaboration.

AI Feature Pitfalls

Pitfall 1: Blindly Applying Composer Changes

Problem: Clicking "Apply All" without reviewing diffs. Composer can generate code with wrong imports, hallucinated APIs, or logic errors.

Solution:

1. Click each file in the Changes panel to review its diff
2. Check imports: are they real packages in your project?
3. Check function calls: do the methods actually exist?
4. Run build after applying: npm run build
5. Run tests: npm test
6. Commit BEFORE running Composer (easy rollback with git checkout .)
Pitfall 2: Context Window Overflow

Problem: Adding too many @Files, @Folders, and @Codebase references. The model silently drops information, leading to:

  • Ignoring your instructions
  • Repeating itself
  • Generating generic instead of project-specific code

Solution:

- Use @Files (specific) over @Folders (broad) over @Codebase (broadest)
- Limit to 3-5 file references per prompt
- Start new chats for new topics
- Remove stale context pills by clicking X
Pitfall 3: Continuing Stale Conversations

Problem: Reusing a 20+ turn conversation for a new task. The conversation history fills context, leaving no room for your new request.

Solution: Cmd+N to start a new chat for each distinct task.

Pitfall 4: AI Generates Deprecated Patterns

Problem: AI uses old APIs (React class components, Express 4 syntax, CommonJS require).

Solution: Pin versions in project rules:

yaml
# .cursor/rules/stack.mdc
---
description: "Tech stack versions"
globs: ""
alwaysApply: true
---
ALWAYS use these versions:
- React 19 with Server Components (NOT class components)
- Next.js 15 App Router (NOT Pages Router)
- TypeScript 5.7 strict (NOT any casts)
- ESM imports (NOT CommonJS require)
Pitfall 5: Tab Completion Fighting Manual Input

Problem: Tab suggests text you do not want, and you accidentally accept it while pressing Tab for indentation.

Solution:

  • Use Esc to dismiss before pressing Tab for indentation
  • Remap Tab acceptance: Cmd+K Cmd+S > search acceptCursorTabSuggestion > assign different key
  • Or temporarily disable Tab completion for specific tasks

Security Pitfalls

Pitfall 6: Pasting Secrets into Chat

Problem: Copying an error message that includes an API key, database URL, or token and pasting it into Chat.

Solution:

NEVER paste:
- .env file contents
- Error logs containing credentials
- Database connection strings
- API response headers with auth tokens

INSTEAD:
- Redact secrets before pasting: "API key sk-...XXXX returned 401"
- Describe the error without the sensitive values
- Use @Files to reference the code, not copy-paste
Pitfall 7: No .cursorignore

Problem: Without .cursorignore, sensitive files (.env, credentials, PII) may be included in AI context via @Codebase search or automatic context.

Solution: Create .cursorignore in every project:

gitignore
.env*
**/secrets/
**/credentials/
**/*.pem
**/*.key
Pitfall 8: Privacy Mode Off

Problem: Without Privacy Mode, code may be retained by model providers for training.

Solution:

  • Individual: Cursor Settings > General > Privacy Mode > ON
  • Team: Admin Dashboard > Privacy > Enforce for all members
  • Verify at cursor.com/settings
Pitfall 9: Trusting AI-Generated Security Code

Problem: AI generates authentication, encryption, or authorization code that looks correct but has subtle vulnerabilities (timing attacks, SQL injection via string concatenation, missing CSRF protection).

Solution:

- Security-critical code ALWAYS needs human expert review
- Run SAST tools (Semgrep, Snyk) on AI-generated code
- Never deploy AI-generated auth code without penetration testing
- Add security rules in .cursor/rules/security.mdc

Configuration Pitfalls

Pitfall 10: No Project Rules

Problem: Without .cursor/rules/, the AI generates code without knowing your conventions, stack, or patterns. Result: inconsistent code that does not match your project.

Solution: Create at minimum:

  1. project.mdc (stack, conventions, alwaysApply: true)
  2. security.mdc (security constraints, alwaysApply: true)
  3. Language-specific rules with glob patterns
Show full SKILL.md (374 more words)Show less
Pitfall 11: Conflicting Rules

Problem: Multiple .mdc rules with contradictory instructions (one says "use classes", another says "use functions").

Solution:

  • Review all rules together for consistency
  • Use specific globs so rules apply only to relevant files
  • Test with @Cursor Rules in Chat to see which rules are active for a given file
Pitfall 12: Running Multiple AI Completion Extensions

Problem: GitHub Copilot + Cursor Tab both enabled. Double ghost text, conflicting suggestions, UI glitches.

Solution: Disable all other inline completion extensions:

  • GitHub Copilot
  • TabNine
  • Codeium
  • IntelliCode

Only one inline completion provider should be active.

Performance Pitfalls

Pitfall 13: Opening Entire Monorepo

Problem: Opening a monorepo root with 200K files. Indexing takes hours, @Codebase returns noise, editor is sluggish.

Solution: Open specific packages: cursor packages/api/

Pitfall 14: No File Watcher Exclusions

Problem: Cursor watches every file for changes, including node_modules/, dist/, and .git/objects/. Causes high CPU and memory.

Solution:

json
// settings.json
{
  "files.watcherExclude": {
    "**/node_modules/**": true,
    "**/.git/objects/**": true,
    "**/dist/**": true,
    "**/build/**": true
  }
}
Pitfall 15: Never Clearing Chat History

Problem: Running Cursor for weeks with dozens of open chat tabs. Memory grows, editor slows.

Solution: Close old chat tabs. Start new conversations. Restart Cursor weekly during heavy use.

Team Collaboration Pitfalls

Pitfall 16: Rules Not in Version Control

Problem: .cursor/rules/ not committed to git. Each developer has different (or no) AI behavior rules.

Solution: Commit .cursor/rules/ and .cursorignore to git. PR-review rule changes like any other configuration.

Pitfall 17: No Code Review for AI Output

Problem: Developers commit AI-generated code without review. Bugs, wrong patterns, and security issues reach main branch.

Solution:

  • Pre-commit hooks: lint + test (catches many AI errors)
  • PR reviews: all code (human or AI) needs review
  • Team policy: "AI output is a first draft, not production code"
Pitfall 18: Inconsistent Model Selection

Problem: Some developers use Opus for everything (consuming quota fast), others use cursor-small (poor quality).

Solution:

  • Set team default model in admin dashboard
  • Document model selection guidance in onboarding
  • Use Auto mode as default (Cursor selects appropriate model)

Enterprise Considerations

  • Risk register: Add Cursor-specific risks (AI hallucinations, data exposure) to your enterprise risk register
  • Training: Quarterly refresher on pitfalls, especially security-related ones
  • Incident response: Have a plan for "AI-generated code caused production incident" scenario
  • Vendor risk: Review Cursor's security page annually as their practices evolve

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 10 other files (references) in skills/.curated/cursor-known-pitfalls of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/ai-feature-pitfalls.md
  • references/completion-pitfalls.md
  • references/configuration-pitfalls.md
  • references/errors.md
  • references/examples.md
  • references/performance-pitfalls.md
  • references/recovery-strategies.md
  • references/security-pitfalls.md
  • references/team-pitfalls.md
  • references/workflow-pitfalls.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Warp Factory Fileswarpdotdev/warp65k1 repos~2.5kAutomated safety check: PassAGPL-3.0
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Analyze Logsactivepieces/activepieces25k1 repos~1.6kAutomated safety check: PassMIT
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0

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Questions about Cursor Known Pitfalls

What does Cursor Known Pitfalls do?

Avoid common Cursor IDE pitfalls: AI feature mistakes, security gotchas, configuration errors, and team workflow issues. Cursor Known Pitfalls is an agent skill from jeremylongshore/tons-of-skills-marketplace. Avoid common Cursor IDE pitfalls: AI feature mistakes, security gotchas, configuration errors, and team workflow issues.

When should I use Cursor Known Pitfalls?

Cursor Known Pitfalls fits situations like: Cursor pitfalls; Cursor mistakes; Cursor problems.

How do I install Cursor Known Pitfalls in Claude Code?

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

How do I install Cursor Known Pitfalls in Codex?

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

Can I use Cursor Known Pitfalls 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-known-pitfalls -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-known-pitfalls, .gemini/skills/cursor-known-pitfalls, .github/skills/cursor-known-pitfalls and .opencode/skills/cursor-known-pitfalls in your project.

What does Cursor Known Pitfalls need to run?

Going by SKILL.md and its folder, Cursor Known Pitfalls needs the command-line tools its instructions call (cursor). Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Cursor Known Pitfalls access the network?

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

Is Cursor Known Pitfalls safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Cursor Known Pitfalls use?

Cursor Known Pitfalls 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 Known Pitfalls use?

About 2.4k tokens (SKILL.md is roughly 9.4k 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 2k tokens, read only when the agent opens those files.

What are the alternatives to Cursor Known Pitfalls?

Skills that share tags, products or a category with Cursor Known Pitfalls: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Warp Factory Files (warpdotdev/warp, 65k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars) and Analyze Logs (activepieces/activepieces, 25k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cursor Known Pitfalls?

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.