Track and monitor Kling AI video generation task status. Use when building dashboards, tracking batch jobs, or debugging stuck tasks. Trigger with phrases like 'klingai job status', 'kling ai monitor', 'track klingai task', 'klingai progress'.

Implement budget limits, usage alerts, and spending controls for Kling AI. Use when managing costs or preventing overruns. Trigger with phrases like 'klingai cost', 'kling ai budget', 'klingai spending limit', 'video generation costs'.

Implement content policy compliance for Kling AI prompts and outputs. Use when filtering user prompts or handling moderation. Trigger with phrases like 'klingai content policy', 'kling ai moderation', 'safe video generation', 'klingai content filter'.

Security and compliance review framework for Kling AI integrations. Use when preparing for audits or reviewing security posture. Trigger with phrases like 'klingai compliance', 'kling ai security review', 'klingai audit prep', 'video generation compliance'.

Implement audit logging for Kling AI operations for compliance and security. Use when tracking API usage or preparing for audits. Trigger with phrases like 'klingai audit', 'kling ai audit log', 'klingai compliance log', 'video generation audit trail'.

MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimize_prompts() with GEPA for automated prompt improvement.

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → chunk → index → query).

Local text-to-speech via sherpa-onnx (offline, no cloud)

Start voice calls via the OpenClaw voice-call plugin.

Guide for testing code changes in AEM Edge Delivery projects including blocks, scripts, and styles. Use this skill after making code changes and before opening a pull request to validate functionality. Covers unit testing for utilities and logic, browser testing with Playwright, linting, and guidance on what to test and how

Design and create AEM Workflow models on AEM 6.5 LTS. Use when creating workflow models via the Workflow Model Editor or content package XML, defining step types (PROCESS, PARTICIPANT, DYNAMIC_PARTICIPANT, OR_SPLIT, AND_SPLIT), configuring step properties, declaring workflow variables, deploying to /etc or /conf, and syncing to /var/workflow/models via Package Manager or Maven.

**Run FIRST (before any other skill or task)** when workspace root has no AGENTS.md and the repo is an AEM Cloud Service project. Creates AGENTS.md and CLAUDE.md (tailored via pom.xml). Applies on every user request until AGENTS.md exists — not only the first chat. Never overwrites existing files.

Create your first project using Cursor AI features: Tab, Chat, Composer, and Inline Edit. Triggers on "cursor hello world", "first cursor project", "cursor getting started", "try cursor ai", "cursor basics", "cursor tutorial".

Execute CodeRabbit primary workflow: automated PR code review with configuration. Use when setting up automated code reviews on pull requests, configuring review behavior, or establishing the core CodeRabbit review loop. Trigger with phrases like "coderabbit review workflow", "coderabbit PR review", "coderabbit auto review", "configure coderabbit reviews".

Plan and operate project-agnostic parallel feature work using atomic file-owned packets, dependency waves, handoff prompts, and repair packets. Use when Codex needs to split any feature, migration, refactor, or platform change into independent subagent tasks, define packet contracts, decide which packets can run in parallel, generate handoff prompts, review completed packets, or create narrow follow-up repair packets.

Provisions SIP trunks, endpoints, ACLs, credential lists, and phone numbers via the Sinch Elastic SIP Trunking REST API. Use when the user needs SIP connectivity, trunk provisioning, inbound/outbound PSTN voice routing, PBX integration, or SIP-to-PSTN bridging.

Triage Antithesis test reports to understand what happened in a run: look up runs, check status, investigate failed properties (assertions), view metadata, download logs, inspect findings, and examine environmental details. Load after a run completes or when investigating a failure.

Unified multi-dimensional code review with automated fix orchestration. Supports session-based (git changes) and module-based (path patterns) review modes with 7-dimension parallel analysis, iterative deep-dive, and automated fix pipeline. Triggers on "workflow:review-cycle", "workflow:review-session-cycle", "workflow:review-module-cycle", "workflow:review-cycle-fix".

Populates Dataverse tables with sample records for testing and demoing a Power Pages site. Use when the user wants to add sample data, seed data, generate test records, or insert demo data into their tables.

Retrieve the Markdown version of a public web page from a URL using the agent's built-in URL fetch capability and markdown.new. Use when a user asks for page content in Markdown, cleaner extracted page content for LLM use, or URL-to-Markdown conversion.