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cursor-agent

Delegate a task to Cursor's CLI agent (code review, Q&A, planning) for a second opinion from a non-Claude model

Quellinformationen

Repository
Vesely/skills
Letzte Quellaktivität
27. April 2026 um 18:08
Erkannte Sprache von SKILL.md
Englisch
Sterne
28
Forks
4

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
cursor-agent
description
Delegate a task to Cursor's CLI agent (code review, Q&A, planning) for a second opinion from a non-Claude model
allowed-tools
["Bash(cursor-agent:*)","Bash(git diff:*)","Bash(git log:*)","Bash(git status:*)"]
when_to_use
Use when the user wants to run cursor-agent (Cursor's CLI). Triggers: 'cursor review', 'ask cursor', 'use cursor', 'review with cursor', 'second opinion from cursor', 'cursor-agent', 'use cursor-agent'. Also use for verifying code/plans/texts/UI with a different model than Claude.
argument-hint
[task for cursor-agent, e.g. 'review this branch']
arguments
["task"]
# Cursor Agent Delegate a task to Cursor's headless CLI agent (`cursor-agent`). Use this to get a second opinion from a non-Claude model on code reviews, plan critiques, text/copy review, or general Q&A. ## Inputs - `$task`: The task to hand to cursor-agent. Usually a review or question prompt. If the user adds a model hint (e.g. "with Opus", "using GPT", "pomocí Sonnetu"), extract it and pass via `--model`. ## Goal Run cursor-agent headless, surface its output to the user, and add a brief Claude TL;DR so the user doesn't have to re-read a wall of text. ## Steps ### 1. Parse the task Extract from `$task` and the surrounding conversation: - **Model hint** — look for phrasing like: - "Opus" / "claude" → `--model claude-opus-4-7-medium` - "Sonnet" → `--model claude-4.6-sonnet-medium` - "GPT" / "GPT-5" / "Codex" → `--model gpt-5.3-codex` - "Gemini" → `--model gemini-3.1-pro` - "Auto" → `--model auto` - Nothing mentioned → omit `--model` (cursor uses its default: `composer-2-fast`) - **Mode hint**: - "plan" / "plan mode" / "navrhni" → `--mode plan` - "write" / "edit" / "implement" / "headless" → omit `--mode` (cursor can write) - Otherwise → `--mode ask` (read-only, default) - **Is this a review?** If the task mentions "review", "check", "verify", "second opinion", or references a branch/PR/diff, enrich the prompt (step 2). **Success criteria**: Flags decided, prompt ready. ### 2. Enrich the prompt (reviews only) If the task is a code review: - Identify the diff scope. Try in order: explicit reference in the task (PR number, branch name), current branch vs `main` (`git diff origin/main...HEAD`), or uncommitted changes (`git diff HEAD`). - Prepend a short instruction to the prompt so cursor-agent knows what to look at: > "Review the branch `<name>` against main. Use `git diff origin/main...HEAD` to see the actual changes. Focus on real issues (correctness, edge cases, security); skip nitpicks. Report under ~400 words with `file:line` references." For non-review tasks (ask/plan/text/UI), pass the task as-is. **Success criteria**: Final prompt string ready for the CLI. ### 3. Run cursor-agent Invoke headless via Bash: ```bash cursor-agent -p --output-format text [--mode <mode>] [--model <model>] "<prompt>" ``` - Always use `-p` (print/headless). - Always use `--output-format text` unless the task needs structured output. - Workspace defaults to pwd — don't pass `--workspace` unless the user explicitly asked for a different dir. - For runs with only non-write modes (`--mode ask` or `--mode plan`), no extra permission flags are needed. For headless write mode, do **not** silently add `--force` or `--yolo`; ask the user first. - Pipe to `tail -n 200` if you suspect a very long response and want to cap context use. By default, take the full output. **Success criteria**: cursor-agent returns (exit 0) with a response. If it errors (auth, model not available), surface the error to the user instead of hiding it. ### 4. Return the output Present to the user in this order: 1. **Cursor's verbatim response** — quote it directly so the user hears the other model's voice, including file:line references. 2. **Your short TL;DR** — 3–6 bullets at most, separated by a horizontal rule. Highlight what's real vs. noise, and suggest concrete next actions. Do **not** silently filter cursor's findings; if you disagree with one, call it out explicitly. Keep the summary tight — the goal is to save the user from re-reading, not to replace cursor's output. **Success criteria**: User sees both cursor's raw output and a Claude-curated action list. ## Notes - `cursor-agent --list-models` shows every available model ID. If the user asks for something exotic (e.g. "thinking tier", "max tier"), check the list first. - `cursor-agent` reads/writes inside the current workspace like any CLI tool — it is not sandboxed by default. Treat its output the same way you'd treat a teammate's PR comment: trust but verify. - This skill is for **one-shot** delegation. For a longer back-and-forth, the user can run `cursor-agent` interactively themselves (no `-p`).
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