Configure Deepgram local development workflow with testing and mocks. Use when setting up development environment, configuring test fixtures, or establishing rapid iteration patterns for Deepgram integration. Trigger: "deepgram local dev", "deepgram development setup", "deepgram test environment", "deepgram dev workflow", "deepgram mock".

Use when you need to control Slack from OpenClaw via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.

Capture frames or clips from RTSP/ONVIF cameras.

Implement CodeRabbit webhook signature validation and event handling. Use when setting up webhook endpoints, implementing signature verification, or handling CodeRabbit event notifications securely. Trigger with phrases like "coderabbit webhook", "coderabbit events", "coderabbit webhook signature", "handle coderabbit events", "coderabbit notifications".

Implement CodeRabbit PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention policies, or ensuring compliance with privacy regulations for CodeRabbit integrations. Trigger with phrases like "coderabbit data", "coderabbit PII", "coderabbit GDPR", "coderabbit data retention", "coderabbit privacy", "coderabbit CCPA".

Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".

Detect significant price movements and unusual volume across crypto markets. Calculates significance scores combining price change, volume ratio, and market cap. Use when tracking market movers, finding gainers/losers, or detecting volume spikes. Trigger with phrases like "scan market movers", "top gainers", "biggest losers", "volume spikes", "what's moving", "find pumps", or "market scan".

Aggregate breaking cryptocurrency news from 50+ sources including CoinDesk, CoinTelegraph, The Block, and Decrypt. Use when needing to monitor crypto market news, track announcements, or find coin-specific updates. Trigger with phrases like "get crypto news", "latest Bitcoin headlines", "DeFi announcements", "scan for breaking news", or "check crypto updates".

Execute extract and use project memories from previous sessions for context-aware assistance. Use when recalling past decisions, checking project conventions, or understanding user preferences. Trigger with phrases like "remember when", "like before", or "what was our decision about".

Architects, generates, and validates Agent Skills. Enforces specification and best practices. Used any time an agent skill must be created or updated.

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

**CRITICAL**: Use for ALL CVE discovery and listing. DO NOT call get_cves directly. Use when: "show critical CVEs", "CVEs on hostname X", "remediatable vulnerabilities", "impact of CVE-X", risk assessment. NOT for remediation (use `/remediation`). System-level: FIRST reply = pagination prompt (Step -1). Parsing: scripts/01-cve-response-parser.py.

Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.

Detect test smells, overmocking, flaky tests, and coverage issues. Analyze test effectiveness, maintainability, and reliability. Use when reviewing tests or improving test quality.

| Nuxt 4 production optimization: hydration, performance, testing with Vitest, deployment to Cloudflare/Vercel/Netlify, and v4 migration. Use when: debugging hydration mismatches, optimizing performance and Core Web Vitals, writing tests with Vitest, deploying to Cloudflare Pages/Workers/Vercel/Netlify, or migrating from Nuxt 3 to Nuxt 4.

Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image layouts, and "make it look good" requests with automatic quality improvements.

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.

Reviews and improves Debug.Log usage in Unity C# projects following structured logging principles: context tags, severity contracts, boundary-based placement, and criticality tiers. Detects common antipatterns (naked Debug.Log, logging in Update, stringly-typed errors), adds missing logs at system/state/error/external boundaries, and scaffolds project-wide logging infrastructure (LogTag constants, formatting helpers, conventions). Use when the user mentions logging, Debug.Log, log messages, debugging, or asks to improve observability in Unity code.

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality

Use when the user wants to review Qodo PR feedback or fix code review comments. Capabilities: view issues by severity, apply fixes interactively or in batch, reply to inline comments, post fix summaries (GitHub, GitLab, Bitbucket, Azure DevOps, Gerrit)