Google Cloud WAF — performance optimization

Prerequisites: a Google Cloud workload to evaluate (or one being designed); nothing else — the skill is guidance and assessment, it provisions or changes nothing itself Install "Google Cloud WAF — performance optimization" for me. It gives the agent @google's official playbook for the Well-Architected Framework performance pillar: the four core principles (plan resource allocation, take advantage of elasticity, promote modular design, continuously monitor and improve), workload assessment questions, the relevant Google Cloud products (MIGs, GKE, Cloud Run, Cloud CDN, Memorystore, Bigtable, Spanner, Cloud Trace, Cloud Profiler, Cloud Monitoring), and a validation checklist. Apache-2.0 licensed. Repository: https://github.com/google/skills/blob/main/skills/cloud/google-cloud-waf-performance-optimization/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "google-cloud-waf-performance-optimization". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. point the agent at the workload or architecture to assess). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.