Zoom Video SDK for React Native. Use when building custom mobile video session experiences with @zoom/react-native-videosdk, event listeners, helper-based APIs, and backend JWT token flows.

Zoom Contact Center SDK for iOS. Use for native iOS chat/video/ZVA/scheduled callback integrations, app lifecycle bridging, rejoin flow, and callback handling.

Reads a forwarded customer email or ticket, pulls order/refund status from PayPal and account history from HubSpot, drafts a tone-matched reply in the owner's writing voice, and can issue a PayPal refund with explicit owner approval. Use when the user says "draft a response," "answer this customer," "where's my order," or "I want a refund."

Choose the right Zoom architecture for a use case. Use when deciding between REST API, Webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Zoom MCP, Phone, Contact Center, or a hybrid approach.

Choose the right Zoom building surface for a use case and explain the tradeoffs clearly. Use when deciding between REST API, Webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Phone, Contact Center, or MCP for a specific product idea or integration goal.

Build or embed a Zoom meeting flow. Use when implementing Meeting SDK joins, web or mobile meeting embeds, meeting lifecycle flows, or when deciding between Meeting SDK and Video SDK.

Browser automation skill for controlling Google's NotebookLM. Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio Overview, infographics, slide decks, study guides, briefing docs, mind maps, timelines, FAQs), and creating new notebooks. Triggers on any phrase involving NotebookLM — 'open NotebookLM', 'check my [name] notebook', 'pull info from NotebookLM', 'ask my notebook about X', 'add [source] to NotebookLM', 'create an infographic in NotebookLM', 'use NotebookLM Studio', 'generate a slide deck from my notebook', or any variation where the goal involves NotebookLM. Requires browser automation environment — fails gracefully when unavailable.

Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.

Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns.

Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.

Use when the user needs YouTube transcripts, video search, channel browsing, playlist extraction, or content monitoring. Trigger phrases: 'get the transcript for', 'search YouTube for', 'what are the latest videos on', 'list this playlist', 'monitor this channel', or any request involving a YouTube URL, video ID, or @handle. Do NOT use for downloading video or audio files, YouTube engagement data (likes, comments), or private/age-restricted videos.

Use when the user asks to create a demo video, product walkthrough, feature showcase, animated presentation, marketing video, or GIF from screenshots or scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts MCPs to produce polished video content.

This skill covers integrating Aqua Security's Trivy scanner into CI/CD pipelines for comprehensive container image vulnerability detection. It addresses scanning Docker images for OS package and application dependency CVEs, detecting misconfigurations in Dockerfiles, scanning filesystem and git repositories, and establishing severity-based quality gates that block deployment of vulnerable images.

This skill covers hardening container images by minimizing attack surface, removing unnecessary packages, implementing multi-stage builds, configuring non-root users, and applying CIS Docker Benchmark recommendations to produce secure production-ready images.

Plan and execute authorized vishing (voice phishing) pretext calls to assess employee susceptibility to social engineering and evaluate security awareness controls.

Detect unauthorized modifications to running containers by monitoring for binary execution drift, file system changes, and configuration deviations from the original container image.

Reduce container attack surface by building application images on Google distroless base images that contain only the application runtime with no shell, package manager, or unnecessary OS utilities.

Harbor is an open-source container registry that provides security features including vulnerability scanning (integrated Trivy), image signing (Notary/Cosign), RBAC, content trust policies, replicatio

Sign and verify container image provenance using Sigstore Cosign with keyless OIDC-based signing, attestations, and Kubernetes admission enforcement.

Performs firmware image extraction and analysis using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis for detecting encrypted or compressed regions, recursive extraction of nested archives, SquashFS/CramFS/JFFS2 filesystem mounting, and string analysis for credential and configuration discovery. Activates for requests involving firmware reverse engineering, IoT device analysis, embedded system security assessment, or router/camera firmware extraction.

Detects AI-generated deepfake audio used in voice phishing (vishing) attacks by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with machine learning models. Supports batch analysis of audio files, generates confidence scores, and produces forensic reports. Activates for requests involving deepfake voice detection, vishing investigation, AI-generated speech analysis, voice cloning detection, or audio authenticity verification.

This skill covers hardening managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity, RBAC scoping, image admission controls, and runtime security monitoring. It addresses cloud-specific security features including IRSA for EKS, Workload Identity for GKE, and Managed Identities for AKS.

Securing container registry images by implementing vulnerability scanning with Trivy and Grype, enforcing image signing with Cosign and Sigstore, configuring registry access controls, and building CI/CD pipelines that prevent deploying unscanned or unsigned images.

Perform comprehensive forensic analysis of disk images using Autopsy to recover files, examine artifacts, and build investigation timelines.

Detect and extract hidden data embedded in images, audio, and other media files using steganalysis tools to uncover covert communication channels.

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.

Use when the user asks to "analyze video", "watch this video", "what happens in this video", "describe this clip", "review this footage", "classify these videos", "compare videos", "analyze this image", "what's in this screenshot", or when the user provides a video/image file path and expects visual understanding. Also trigger on: "qwen", "video bridge", "multimodal analysis", "motion analysis", "video reference", "video breakdown", "batch classify", or any task requiring understanding of video content that Claude cannot do natively.

Voice operations — make phone calls (Bland AI), text-to-speech (ElevenLabs), transcribe audio (Whisper/Groq). Replace OpenClaw voice capabilities.

Use at the start of any conversation about a startup idea, product validation, founder strategy, or work inside a `startup/` workspace. Establishes file conventions, voice-input handling, subagent dispatch rules, and how to update each artifact safely. Activate before invoking any other startup-superpowers skill.

Read findings JSONL files from cluster 1-4 skills, deduplicate by fingerprint, group by severity, and compose a deliverable- grade markdown vulnerability report with per-finding sections (title, severity, target, detail, remediation, evidence) and a top-level summary table. The canonical written artifact a customer receives at engagement close; precise, reproducible, machine- checkable against source findings. Use when: closing an engagement, generating an interim report, regenerating after CVE or OWASP enrichment, or producing the input for generating-executive-summary. Threshold: findings missing required fields are dropped. HIGH and CRITICAL findings highlighted in the summary section. Trigger with: "compose vuln report", "write pentest report", "generate vulnerability deliverable", "render findings to report".

Works correctly with LangChain 1.0's typed content blocks on AIMessage.content — text, tool_use, image, thinking, document — across Claude, GPT-4o, and Gemini, including multi-modal composition and tool-call iteration. Use when composing multi-modal messages, iterating tool_use blocks, handling Claude's thinking content, or unifying image inputs across providers. Trigger with "langchain content blocks", "AIMessage.content", "tool_use block", "claude image input", "langchain multimodal", "thinking block replay", "claude citations".

Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.

Production SDK patterns for Kling AI: client wrapper, retry logic, async polling, and error handling. Use when building robust integrations. Trigger with phrases like 'klingai sdk', 'kling ai client', 'klingai patterns', 'kling ai wrapper'.

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'.

Create your first Kling AI video generation with a minimal working example. Use when learning Kling AI or testing your setup. Trigger with phrases like 'kling ai hello world', 'first kling video', 'klingai quickstart', 'test klingai'.

Build usage analytics and reporting for Kling AI video generation. Use when tracking patterns, analyzing costs, or building dashboards. Trigger with phrases like 'klingai analytics', 'kling ai usage report', 'klingai metrics', 'video generation stats'.

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'.

Optimize Kling AI for speed, quality, and cost efficiency. Use when improving generation times or finding optimal settings. Trigger with phrases like 'klingai performance', 'kling ai optimize', 'faster klingai', 'klingai quality settings'.

Build async video generation workflows with Kling AI using queues, state machines, and event-driven patterns. Trigger with phrases like 'klingai async', 'kling ai workflow', 'klingai pipeline', 'async video generation'.

Process multiple video generation requests efficiently with Kling AI. Use when generating batches of videos or building content pipelines. Trigger with phrases like 'klingai batch', 'kling ai bulk', 'multiple videos klingai', 'klingai parallel generation'.

Integrate Kling AI video generation into CI/CD pipelines. Use when automating video content in GitHub Actions or GitLab CI. Trigger with phrases like 'klingai ci', 'kling ai github actions', 'klingai automation', 'automated video generation'.

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'.

Set up logging and debugging for Kling AI API integrations. Use when troubleshooting video generation or building observability. Trigger with phrases like 'klingai debug', 'kling ai logging', 'klingai troubleshoot', 'debug kling video generation'.

Download and store Kling AI generated videos in cloud storage (S3, GCS, Azure). Use when persisting videos or building CDN pipelines. Trigger with phrases like 'klingai storage', 'save klingai video', 'kling ai s3 upload', 'klingai cloud storage'.

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'.

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'.

Configure Kling AI for teams with per-project API keys, usage quotas, and role-based access. Trigger with phrases like 'klingai team', 'kling ai organization', 'klingai multi-user', 'shared klingai access'.

Implement audio data handling best practices for Deepgram integrations. Use when managing audio file storage, implementing data retention, or ensuring GDPR/HIPAA compliance for transcription data. Trigger: "deepgram data", "audio storage", "transcription data", "deepgram GDPR", "deepgram HIPAA", "deepgram privacy", "PII redaction".

Animate static images into video using Kling AI. Use when converting images to video, adding motion to stills, or building I2V pipelines. Trigger with phrases like 'klingai image to video', 'kling ai animate image', 'klingai img2vid', 'animate picture klingai'.

Handle Kling AI API rate limits with backoff and queuing strategies. Use when hitting 429 errors or planning high-volume workflows. Trigger with phrases like 'klingai rate limit', 'kling ai 429', 'klingai throttle', 'kling api limits'.

Apply artistic styles and visual effects to Kling AI video generation. Use when creating stylized content or using effects API. Trigger with phrases like 'klingai style', 'kling ai effects', 'klingai artistic video', 'stylize klingai video'.

Extend video duration using Kling AI continuation. Use when creating longer videos from shorter clips or building sequences. Trigger with phrases like 'klingai extend video', 'kling ai video continuation', 'klingai longer video', 'extend klingai clip'.

Optimize Shopify theme performance for Core Web Vitals (LCP, CLS, INP). Use when diagnosing slow page loads, fixing lazy-loaded hero images, profiling Liquid render times, or optimizing image delivery. Trigger with phrases like "shopify theme performance", "shopify core web vitals", "shopify lcp", "shopify liquid profiler", "shopify image optimization".

Optimize Deepgram API performance for faster transcription and lower latency. Use when improving transcription speed, reducing latency, or optimizing audio processing pipelines. Trigger: "deepgram performance", "speed up deepgram", "optimize transcription", "deepgram latency", "deepgram faster", "deepgram throughput".

Generate videos from text prompts with Kling AI. Use when creating videos from descriptions, learning prompt techniques, or building T2V pipelines. Trigger with phrases like 'kling ai text to video', 'klingai prompt', 'generate video from text', 'text2video kling'.

Optimize OneNote Graph API performance for large notebooks, image handling, and batch operations. Use when dealing with slow API responses, large notebooks, image uploads, or HTTP 507 errors. Trigger with "onenote performance", "onenote slow", "onenote large notebook", "onenote image upload".

Control camera movements in Kling AI video generation. Use when creating cinematic shots, pans, tilts, zooms, or dolly moves. Trigger with phrases like 'klingai camera', 'kling ai camera motion', 'klingai cinematic', 'klingai pan zoom'.

Migrate between Kling AI model versions safely. Use when upgrading from v1.x to v2.x or adopting new features. Trigger with phrases like 'klingai upgrade', 'kling ai migrate', 'klingai version update', 'upgrade kling model'.

Configure webhook callbacks for Kling AI task completion. Use when building event-driven pipelines or replacing polling. Trigger with phrases like 'klingai webhook', 'kling ai callback', 'klingai notifications', 'video completion webhook'.

Avoid common mistakes when using Kling AI API. Use when troubleshooting or learning best practices. Trigger with phrases like 'klingai pitfalls', 'kling ai mistakes', 'klingai gotchas', 'klingai best practices'.

Understand Kling AI pricing, credits, and cost optimization strategies. Use when budgeting or estimating costs. Trigger with phrases like 'kling ai pricing', 'klingai credits', 'kling ai cost', 'klingai budget'.

Diagnose and fix common Speak API errors: authentication failures, audio format issues, rate limits, and session management problems. Use when implementing common errors features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak common errors", "speak common errors".

Implement production pre-recorded speech-to-text with Deepgram. Use when building audio transcription, batch processing, or implementing diarization and intelligence features. Trigger: "deepgram transcription", "speech to text", "transcribe audio", "batch transcription", "deepgram nova", "diarize audio".

Migrate workloads from AWS or Azure to OCI — IAM translation, networking mapping, compute image import, and data migration. Use when planning an AWS-to-OCI or Azure-to-OCI migration, translating cloud concepts, or importing custom images. Trigger with "oraclecloud migration", "aws to oci", "azure to oci", "oci migration deep dive".

Implement real-time streaming transcription with Deepgram WebSocket. Use when building live transcription, voice interfaces, real-time captioning, or voice AI applications. Trigger: "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming", "deepgram live".

Explore Kling AI models, versions, and capabilities for video and image generation. Use when selecting models or comparing features. Trigger with phrases like 'kling ai models', 'klingai capabilities', 'kling video models', 'klingai features'.

Production readiness checklist for Kling AI integrations. Use before going live or during deployment review. Trigger with phrases like 'klingai production ready', 'kling ai go live', 'klingai checklist', 'deploy klingai'.

GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation. Use when implementing ci integration, or managing Speak language learning platform operations. Trigger with phrases like "speak ci integration", "speak ci integration".

Handle student audio data, assessment records, and learning progress with GDPR/COPPA compliance. Use when implementing data handling, or managing Speak language learning platform operations. Trigger with phrases like "speak data handling", "speak data handling".

Collect diagnostic information for Speak API issues: auth verification, audio format validation, session inspection, and network testing. Use when implementing debug bundle features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak debug bundle", "speak debug bundle".

Optimize Granola transcription accuracy, note quality, and processing speed. Use when improving transcription quality, reducing processing time, optimizing templates for better AI output, or tuning audio setup. Trigger: "granola performance", "granola accuracy", "granola quality", "improve granola", "granola transcription better".

Configure Speak local development with mocked tutors and audio testing. Use when setting up a development environment, configuring test workflows, or building language learning features locally. Trigger with phrases like "speak dev setup", "speak local development", "speak dev environment", "develop with speak".

Optimize Speak API latency with audio preprocessing, response caching, and connection pooling. Use when implementing performance tuning, or managing Speak language learning platform operations. Trigger with phrases like "speak performance tuning", "speak performance tuning".

Security best practices for Speak API keys, audio data privacy, student data protection, and COPPA/FERPA compliance. Use when implementing security basics features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak security basics", "speak security basics".

Create optimized Dockerfiles with AI-driven best practices. Activate when users mention "create dockerfile", "container image", "docker optimization", "containerize application", or "docker best practices". Handles Docker configuration generation. Use when working with windsurf dockerfile generation functionality. Trigger with phrases like "windsurf dockerfile generation", "windsurf generation", "windsurf".

Create diagnostic bundles for Granola support requests. Use when preparing support tickets, collecting system/audio/network info, or diagnosing complex issues that require Granola support team assistance. Trigger: "granola debug", "granola diagnostics", "granola support bundle", "granola logs", "granola system info".

Diagnose and fix common Kling AI API errors. Use when troubleshooting failed video generation or API issues. Trigger with phrases like 'kling ai error', 'klingai not working', 'fix klingai', 'klingai failed'.

Optimize Speak API costs through usage monitoring, tier selection, and efficient audio processing. Use when implementing cost tuning, or managing Speak language learning platform operations. Trigger with phrases like "speak cost tuning", "speak cost tuning".

Production readiness checklist for Speak language learning integrations: auth, audio pipeline, monitoring, and compliance. Use when implementing prod checklist features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak prod checklist", "speak prod checklist".

Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. Use when implementing performance tuning, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind performance tuning", "twinmind performance tuning".

Security best practices for TwinMind: on-device audio processing, encrypted cloud backups, microphone permissions, and data privacy controls. Use when implementing security basics, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind security basics", "twinmind security basics".

Troubleshoot common Granola errors — audio capture failures, transcription issues, calendar sync problems, and integration errors. Platform-specific fixes for macOS and Windows. Trigger: "granola error", "granola not working", "granola not recording", "fix granola", "granola troubleshoot".

Set up Kling AI API authentication with JWT tokens. Use when starting a new Kling AI integration or troubleshooting auth issues. Trigger with phrases like 'kling ai setup', 'klingai api key', 'kling ai authentication', 'configure klingai'.

Production patterns for Speak language learning API: conversation sessions, pronunciation assessment, audio preprocessing, and batch operations. Use when implementing sdk patterns features, or troubleshooting Speak language learning integration issues. Trigger with phrases like "speak sdk patterns", "speak sdk patterns".

Incident response for TwinMind failures: transcription not starting, audio not captured, sync failures, and calendar disconnect. Use when implementing incident runbook, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind incident runbook", "twinmind incident runbook".

Create a minimal working Deepgram transcription example. Use when starting a new Deepgram integration, testing your setup, or learning basic Deepgram API patterns. Trigger: "deepgram hello world", "deepgram example", "deepgram quick start", "simple transcription", "transcribe audio".

Retell AI advanced troubleshooting — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell advanced troubleshooting", "retellai-advanced-troubleshooting", "voice agent".

Retell AI migration deep dive — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell migration deep dive", "retellai-migration-deep-dive", "voice agent".

Production-ready Retell AI SDK patterns for voice agent applications. Use when building production voice agents, implementing retry logic, or establishing patterns. Trigger with phrases like "retell patterns", "voice agent patterns", "retell best practices".

Retell AI webhooks events — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell webhooks events", "retellai-webhooks-events", "voice agent".

Retell AI data handling — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell data handling", "retellai-data-handling", "voice agent".

Retell AI performance tuning — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell performance tuning", "retellai-performance-tuning", "voice agent".

Retell AI reference architecture — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell reference architecture", "retellai-reference-architecture", "voice agent".

Retell AI architecture variants — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell architecture variants", "retellai-architecture-variants", "voice agent".

Retell AI known pitfalls — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell known pitfalls", "retellai-known-pitfalls", "voice agent".

Retell AI load scale — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell load scale", "retellai-load-scale", "voice agent".