Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Shell out to Cursor Agent CLI for headless IDE-aware code tasks. Supports multi-model routing (auto mode routes to Claude, Gemini, GPT). Requires Cursor Pro/Business subscription.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
node .claude/skills/omega-cursor-cli/scripts/ask-cursor.mjs "How should I structure this React component?" --yolo --trust
node .claude/skills/omega-cursor-cli/scripts/ask-cursor.mjs "Review this API design" --model claude-4.6-opus --yolo --trust
node .claude/skills/omega-cursor-cli/scripts/ask-cursor.mjs "Refactor authentication" --yolo --trust --timeout-ms 180000
node .claude/skills/omega-cursor-cli/scripts/ask-cursor.mjs "Generate types" --json --yolo --trust
node .claude/skills/omega-cursor-cli/scripts/verify-setup.mjs
# Exit 0 = available (CLI found)
# Exit 1 = not available
| Anti-Pattern | Why Bad | Correct Approach |
|---|---|---|
| Running without --yolo | Blocks on tool approval prompts | Always pass --yolo |
| Running without --trust | Blocks on workspace trust prompt | Always pass --trust |
| Assuming auto model is available | Depends on subscription tier | Check with cursor-agent --list-models |
| Hardcoding cursor-agent path | PATH differs across OS/install methods | Wrapper handles resolution |
| Ignoring WSL requirements | Some Windows installs are WSL-only | Document in setup instructions |
| Script | Purpose |
|---|---|
ask-cursor.mjs | Core headless wrapper -- prompt as last positional arg |
parse-args.mjs | Argument parser (--model, --json, --yolo, --trust, --timeout-ms) |
verify-setup.mjs | Availability check (multi-path resolution) |
format-output.mjs | Output normalization |
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | Error (CLI failure, subscription issue) |
| 124 | Timeout (--timeout-ms exceeded) |
ASK_CURSOR_MAX_STDIN_BYTES env var (default 50MB)Before work: Read .claude/context/memory/learnings.md
After work: Append findings to learnings or issues as needed.
Note: Use pnpm search:code to discover references to this skill codebase-wide.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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