zms-analyze-policy-rules

Investigate security incidents using Zscaler Z-Insights analytics. Correlates threat categories, cyber incident trends, firewall actions, web traffic patterns, and shadow IT data to build a comprehensive incident timeline. Use when a security analyst asks: 'What threats were detected?', 'Show me incident trends', 'Investigate this security event', or 'What shadow IT is being used?'

End-to-end onboarding of a new Browser Access (BA) application in Zscaler Private Access. Walks through the full dependency chain — App connector group, server group, segment group, BA TLS certificate, BA application segment with apps_config, and access policy rule — for web apps that should be reachable through the browser without Zscaler Client Connector. Use only when the admin explicitly asks for Browser Access. DO NOT USE WHEN: the admin wants a regular client-routed application segment (use zpa-application_segment-onboard instead).

Troubleshoot Zscaler Microsegmentation (ZMS) agent deployment and connectivity issues. Investigates agent fleet health, connection status, version compliance, agent group configuration, provisioning keys, and TOTP secrets. Use when an administrator reports: 'Agents are disconnected', 'Agent enrollment failing', 'How do I provision new agents?', 'Check agent versions', or 'Agent not connecting.'

Review Zscaler Microsegmentation (ZMS) tag classification, application discovery, and tag-to-resource-group mapping. Investigates tag namespaces (CUSTOM, EXTERNAL, ML), tag keys and values, application catalog entries, and how tags drive managed resource group membership. Use when an administrator asks: 'Show me our tag structure', 'What cloud tags are imported?', 'How are resource groups using tags?', 'What applications were discovered?', 'Review tag classification', or 'Are ML tags being used?'

Audit the overall Zscaler Microsegmentation (ZMS) deployment posture. Reviews agent fleet health, workload protection coverage, resource group structure, policy rules, app zones, application catalog, and tag-based classification. Use when an administrator asks: 'What is our microsegmentation coverage?', 'How many workloads are protected?', 'Show me our ZMS policies', 'Review our microsegmentation deployment', or 'Audit our ZMS posture.'

Assess Zscaler Microsegmentation (ZMS) workload protection coverage and identify protection gaps. Investigates resource protection status, resource group membership, unprotected workloads by cloud and region, and resource group coverage gaps. Use when an administrator asks: 'Which workloads are unprotected?', 'What is our microsegmentation coverage?', 'Find protection gaps', 'Which resource groups have no policies?', 'Show me unprotected resources', or 'What is our workload coverage percentage?'

Assess network security posture using Zscaler Analytics (Z-Insights). Analyzes Zero Trust Firewall effectiveness by action distribution (allow/block ratios), location-based firewall activity, network service usage, and firewall rule hit counts. Use when a security team asks: 'How effective is our firewall?', 'What is being blocked?', 'Show firewall activity by location', 'Which network services are in use?', or 'Generate a firewall report.'

End-to-end onboarding of a new ZIA location with its traffic forwarding dependencies. Walks through the full dependency chain: (1) Create a static IP for the site's egress point, (2) Create VPN credentials (UFQDN or IP-based) for the IPSec tunnel, (3) Create the location referencing the static IP and VPN credentials, (4) Optionally create a sub-location. Covers both UFQDN-based (simple) and IP-based (requires static IP first) VPN credential flows. Use when an administrator asks: 'Add a new office location', 'Onboard a branch office', or 'Set up traffic forwarding for a new site.'

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。

Generate AI music on RunComfy via the `runcomfy` CLI — a smart router across the music-model catalog. Routes to ElevenLabs AI Music Generation (premium 44.1 kHz stereo vocal tracks, 5 s–5 min, $0.0083/s) and ACE Step / ACE Step 1.5 (StepFun-AI open-weights, tag-driven composition, multilingual lyrics, $0.0002–0.0003/s, ~27× cheaper), plus ACE Step audio-inpaint (regenerate a time range inside an existing track) and ACE Step audio-outpaint (extend a track before or after). Picks the right model for the user's actual intent — premium vocal hook, cheap background music library, multilingual pop song, repair a bad chorus, lengthen a 30 s draft into a 2 min cut — and ships each model's documented prompting patterns plus the minimal `runcomfy run` invoke. Triggers on "generate music", "make a song", "AI music", "background music", "instrumental track", "soundtrack", "jingle", "theme music", "royalty-free music", "compose", "music with lyrics", "extend music", "fix this song", "inpaint music", or any explicit ask to generate or edit music.