Autonomous verification and certification of the framework. Performs a full-stack audit from GUI $\rightarrow$ API $\rightarrow$ MCP $\rightarrow$ Engine to ensure 100% operational readiness.
中文简介正在准备中。当前显示原文说明。
测试设计、漏洞检测、质量保证(1.3万 个)
Autonomous verification and certification of the framework. Performs a full-stack audit from GUI $\rightarrow$ API $\rightarrow$ MCP $\rightarrow$ Engine to ensure 100% operational readiness.
中文简介正在准备中。当前显示原文说明。
[Beta] Creates permanent eval cases from promoted learnings and runs regression checks against them. Turns failures into test cases that prevent silent regression. This is the outer loop's regress-test step. Use when a learning is promoted and has a clear pass/fail condition, or on cadence to verify promoted rules still hold.
中文简介正在准备中。当前显示原文说明。
Build reliable, fast E2E test suites with Playwright and Cypress. Critical user journey coverage, flaky test elimination, CI/CD integration.
中文简介正在准备中。当前显示原文说明。
Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.
中文简介正在准备中。当前显示原文说明。
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
中文简介正在准备中。当前显示原文说明。
A Cursor Canvas is a live React app that the user can open beside the chat. You MUST use a canvas when the agent produces a standalone analytical artifact — quantitative analyses, billing investigations, security audits, architecture reviews, data-heavy content, timelines, charts, tables, interactive explorations, repeatable tools, or any response that benefits from visual layout. Especially prefer a canvas when presenting results from MCP tools (Datadog, Databricks, Linear, Sentry, Slack, etc.) where the data is the deliverable — render it in a rich canvas rather than dumping it into a markdown table or code block. If you catch yourself about to write a markdown table, stop and use a canvas instead. You MUST also read this skill whenever you create, edit, or debug any .canvas.tsx file.
中文简介正在准备中。当前显示原文说明。
Use when the user types [COMPLETE_THIS_PROJECT] to activate a full-spectrum project completion workflow. Orchestrates autonomous agents to audit, identify gaps, plan, implement, test, and ship the project to 10/10 quality.
中文简介正在准备中。当前显示原文说明。
Defensive compliance validation for Quantum C2. Use when checking compliance status against NIST 800-53, FedRAMP, SOC2, ISO 27001, or other frameworks. Triggers on "compliance check", "compliance validation", "NIST check", "FedRAMP audit", "SOC2 validation", "compliance report", "control check".
中文简介正在准备中。当前显示原文说明。
Control-plane workflow for coordinating multi-agent, multi-session project work from a single Codex, GitHub Copilot, or agent-app control session. Use this skill whenever the user asks to orchestrate agents, create or steer worker sessions, run a workflow-like effort, fan out audits/research/migrations, coordinate parallel implementation streams, monitor other project sessions, or compare this control-session pattern to Claude Code dynamic workflows.
中文简介正在准备中。当前显示原文说明。
Crabbox/Testbox remote proof for OpenClaw: trusted-source routing, untrusted isolation, Linux/macOS/Windows/WSL2, live E2E, desktop, diagnostics, cleanup.
中文简介正在准备中。当前显示原文说明。
Expert full stack development with autonomous AI red teaming, blue teaming, purple teaming, and NIST 800-172 CMMC Level 3 compliance. Use when building secure full stack applications, conducting security assessments, implementing compliance controls, performing offensive/defensive security operations, or creating CMMC-compliant systems. Triggers on "full stack", "security assessment", "red team", "blue team", "purple team", "CMMC", "NIST 800-172", "compliance", "secure development", "vulnerability assessment".
中文简介正在准备中。当前显示原文说明。
Package dependency management, version resolution, lock files, security auditing, and monorepo dependency strategies. Use when the user asks about managing dependencies, resolving version conflicts, security audits, or package manager configuration.
中文简介正在准备中。当前显示原文说明。
Write clean, maintainable code with debugging, testing, and architectural best practices.
中文简介正在准备中。当前显示原文说明。
AI-driven autonomous red teaming. Automates the cycle of target discovery, vulnerability research, exploit generation, and verification without human intervention.
中文简介正在准备中。当前显示原文说明。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
中文简介正在准备中。当前显示原文说明。
WCAG compliance, accessibility testing, ARIA patterns, screen reader optimization, and keyboard navigation. Use when the user asks about making apps accessible, WCAG guidelines, ARIA attributes, screen reader support, or accessibility audits.
中文简介正在准备中。当前显示原文说明。
Expert SDLC orchestration skill for launching custom subagent teams through the full development lifecycle — plan, code, test, fix, review, document, package. Triggers: 'autonomous development', 'SDLC agent', 'plan code test fix', 'build from spec', 'autonomous SDLC', 'custom agent team', 'dev lifecycle', 'self-healing development', 'autonomous coding', 'spec-to-delivery', 'full SDLC pipeline', 'autonomous project', '[COMPLETE]'. Use when user wants a complete project built autonomously with real verification at every phase.
中文简介正在准备中。当前显示原文说明。
AI-driven defensive operations. Focuses on system hardening, vulnerability patching, and Purple Team testing to validate defenses against simulated attacks.
中文简介正在准备中。当前显示原文说明。
Autonomous deployment and reporting of Red/Blue/Purple Team audits. Orchestrates the full audit lifecycle from targeting to final reporting.
中文简介正在准备中。当前显示原文说明。
Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.
中文简介正在准备中。当前显示原文说明。
Android and iOS app store compliance audit and fix workflow. Use when the user wants to prepare a Capacitor-based app for Google Play Store or Apple App Store submission. Triggers on: "app store compliance", "submit to app store", "fix Android manifest", "add iOS permissions", "Capacitor compliance", "Play Store requirements", "App Store review", "native project fixes", "adaptive icons", "Info.plist keys", "entitlements".
中文简介正在准备中。当前显示原文说明。
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.
中文简介正在准备中。当前显示原文说明。
Add a new agent to this AgentOS. Runs guided discovery or takes a concrete idea, then generates agents/slug.py, registers it in app/main.py, adds its manifest entry (description + quick prompts), reloads the selected development runtime, and smoke-tests it for you. Covers the product agent too — ingest a product's website/docs into the product knowledge base and build a knowledge-only agent over it. Use whenever the user wants to add or create a new agent, or names a product (theirs or one they use) they want an agent for.
中文简介正在准备中。当前显示原文说明。
Write, test, turn on or off, add and remove gent extensions while gent runs.
中文简介正在准备中。当前显示原文说明。