菜单
Google Cloud Platform (GCP) best practices. Use when provisioning GCP infrastructure, configuring IAM, deploying to Cloud Run, GKE (Kubernetes Engine), Cloud Functions, Cloud SQL, or managing BigQuery. Do NOT trigger for generic "deploy my app" requests without clarifying the target platform.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Multi-pass adversarial performance audit for entire repositories. Combines structured profiling (Agent A) with adversarial stress-testing critique (Agent B) through iterative passes. Optimize repo/backend performance, hot-paths, build size, and server throughput. Do NOT use for frontend page load metrics or Lighthouse audits (use web-perf). NOT for frontend Core Web Vitals (use web-perf).
Multi-pass adversarial planning and review skill that improves agent-generated plans through structured critique stages. Combines an initial planning agent (structure, logic, task sequencing) with an adversarial review agent (performance, security, maintainability) and a final Copilot extension validation pass. Use when creating implementation plans, designing architecture, planning roadmaps or milestones, or when the user says "plan this", "review my plan", "adversarial review", or "multi-pass plan".
Multi-pass adversarial security audit for entire repositories. Combines structured threat modeling (Agent A) with adversarial attack surface analysis (Agent B) through iterative passes. Merges the security-audit workflow's 10-category checklist with the adversarial-planner's structured critique methodology. Use when running security audits, threat modeling, or when the user says "security audit", "adversarial security", "threat model this repo", "red team this repo", or "find vulnerabilities". NOT for fixing or remediating known security issues (use autonomous-dev instead). NOT for supply chain dependency scanning. NOT for general workflow audits or code quality. If user says 'fix security issues', ask whether they want to audit first or fix known issues.
Multi-pass adversarial quality audit for agent skill directories. Combines structured evaluation with adversarial stress-testing to assess skill completeness, instruction clarity, trigger accuracy, and security. Use when auditing a skills directory.
Multi-pass adversarial quality audit for flat markdown workflow files. Combines structured evaluation (Agent A) with adversarial stress-testing (Agent B) to assess sequential clarity, prerequisite validation, HITL (Human-in-the-loop) safety gates, loop prevention, and formatting. Use when auditing workflow scripts (e.g., slash-commands like /bump-deploy), or when the user asks to review or improve operational playbooks.
Core rules for code quality and specifications of Model Context Protocol (MCP) servers. Use when reviewing MCP code quality, enforcing specification rules, or checking schemas/error responses. Must see the explicit keyword "MCP" or "Model Context Protocol". NOT for general REST APIs or Cloudflare Workers. Do NOT trigger for generic 'build a server' requests unless the type is explicitly specified as an MCP server. (Invoke explicitly with `/mcp-builder` — does not auto-trigger).
| name | gcp |
| description | Google Cloud Platform (GCP) best practices. Use when provisioning GCP infrastructure, configuring IAM, deploying to Cloud Run, GKE (Kubernetes Engine), Cloud Functions, Cloud SQL, or managing BigQuery. Do NOT trigger for generic "deploy my app" requests without clarifying the target platform. |
STOP. Your knowledge of GCP may be outdated. Prefer retrieval over pre-training for any version-sensitive GCP configuration. Fetch current documentation when in doubt.
Guidelines for architecting and deploying secure, scalable applications on GCP.
min-instances) to 1 or more for latency-sensitive applications to mitigate cold starts. Ensure max-instances is set to prevent runaway billing.