cursor-agentA comprehensive skill for using the Cursor CLI agent for various software engineering tasks (updated for 2026 features, includes tmux automation guide).
Install via ClawdBot CLI:
clawdbot install swiftlysingh/cursor-agentGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl https://cursor.com/install -fsS | bashCalls external URL not in known-safe list
https://cursor.com/installAI Analysis
The skill documents legitimate usage of the official Cursor CLI tool with standard installation methods. The curl pipe to bash pattern is common for CLI tool installations, though users should verify scripts from external sources. No evidence of credential harvesting, data exfiltration, or hidden malicious behavior was found in the provided content.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Integrate the Cursor CLI agent into a continuous integration pipeline to automatically review pull requests for security vulnerabilities, performance issues, and code quality. The agent can analyze code changes, run tests, and generate structured JSON reports that can be parsed by other tools to block or flag problematic commits.
Use the agent in non-interactive mode with the --force flag to automatically refactor large, outdated codebases in financial or healthcare systems. It can modernize code by converting callbacks to async/await, improving type safety, and reducing complexity without manual intervention, saving developer time on tedious updates.
Deploy the agent in a production monitoring setup to analyze error logs and system outputs in real-time. By piping logs to the agent with specific prompts, it can identify root causes of failures, suggest fixes, and even generate patches, reducing mean time to resolution for critical incidents.
Incorporate the agent into coding bootcamps or online learning platforms to provide instant feedback on student assignments. Using interactive sessions, students can get explanations, debug help, and code improvements, while instructors can use non-interactive mode to batch-grade projects efficiently.
Leverage the agent to automate the creation and updating of technical documentation, API references, and internal wikis. By analyzing codebases and using prompts, it can generate clear, structured documentation, ensuring consistency and reducing manual writing efforts for engineering teams.
Offer a cloud-based service where teams subscribe to use the Cursor CLI agent integrated with their development environments. Revenue comes from monthly or annual subscriptions based on usage tiers, number of users, and advanced features like priority support or custom model access.
Sell enterprise licenses to large corporations in industries like finance or healthcare, providing on-premise deployment, enhanced security, and custom integrations. This includes dedicated support, training, and compliance features, with pricing based on the number of developers or projects.
Provide a free tier of the Cursor CLI agent for individual developers or small teams, with limited usage or basic features. Monetize through premium add-ons such as advanced AI models, increased API limits, team collaboration tools, and automation capabilities like the tmux integration for CI/CD.
💬 Integration Tip
For automation, always use tmux to provide a TTY when running the agent from scripts or AI environments, as direct subprocess calls will hang without it.
Scored Apr 16, 2026
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.
Ship production code with AI agents through acceptance contracts, micro diffs, red green loops, and deterministic handoff checkpoints.
Provides a 7-step debugging protocol plus language-specific commands to systematically identify, verify, and fix software bugs across multiple environments.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation