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Found 1,622 Skills
Enthu.AI platform help — contact center conversation intelligence with auto QA scorecards, agent coaching, compliance monitoring, and speech analytics. Use when setting up Enthu.AI QA scorecards for call center agents, calls not being scored or transcribed correctly, agents not seeing coaching insights from their calls, Enthu.AI integration with Aircall or RingCentral not syncing, comparing Enthu.AI vs Gong or CallMiner for contact center QA, or configuring sentiment analysis and keyword tracking. Do NOT use for building a general coaching program (use /sales-coaching) or reviewing a specific call transcript (use /sales-call-review).
Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Triggers on: "evaluate my agent", "add evaluator", "measure quality", "quality gate", "run evals", "agent too slow", "why is it slow", "reduce latency", "set up observability", "CloudWatch dashboard", "how much does my agent cost", "cost optimization", "logs not showing up", "logs missing", "spans not found", "eval failing", "eval error", "dev traces", "local traces", "agentcore dev traces", "traces to CloudWatch". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.
模拟真实用户在亚马逊前台搜索，获取实时关键词排名和搜索结果页数据。当用户提到亚马逊商品搜索、搜索结果抓取、关键词在搜索页的排名、ASIN排名位置查询、竞品发现、搜索页价格对比、广告商品分析、新品监控、前台搜索模拟、Amazon search, keyword ranking, search results, ASIN ranking position, competitor discovery, price comparison, sponsored product analysis, real-time search, new product monitoring时触发此技能。即使用户未明确提及"搜索模拟"，只要其需求涉及实时亚马逊搜索结果、商品排位数据或前台SERP分析，也应触发此技能。
Used for debugging GPIB/USB/TCP/Serial VISA instrument communication, supporting SCPI command sending and receiving, waveform capture, screenshot, and continuous monitoring.
Used when you need to chain multiple skills to complete pipeline tasks such as compilation + flashing + monitoring or compilation + flashing + debugging.
Guides OT/ICS and SCADA cyber security—Purdue zones, IEC 62443 and NIST SP 800-82 (practitioner), OT asset inventory (PLCs, RTUs, HMIs, historians), secure remote access, OT patch/vuln management, ICS protocol monitoring (Modbus, DNP3, OPC, BACnet high level), safety-first IR, OT threat classes (TRITON, Industroyer), hardening roadmaps, IT/OT convergence. Use for OT program scope, ICS segmentation, OT vuln/patch, detection/IR playbooks, vendor remote access, IEC 62443 or NIST 800-82 gaps—not IT network pentest (network-pentester), web apps (web-pentester), HIL bench only (hardware-in-the-loop-security-tester), GRC only (compliance-specialist), SOC triage (soc-analyst), or IT IR without OT safety (incident-responder). Safety over aggressive testing; no unsafe live-plant steps.
This spell is archaeology, not history research. It operates on specific artifacts from a specific dead system to answer specific questions. It is NOT general tech history, NOT interviewing living people, and NOT monitoring live systems.
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
Implement data quality checks, validation rules, and monitoring. Use when ensuring data quality, validating data pipelines, or implementing data governance.
Scheduler and background jobs syntax for Frappe/ERPNext v14/v15/v16. Use for scheduler_events in hooks.py, frappe.enqueue() for async jobs, queue configuration, job deduplication, error handling, and monitoring. Triggers on questions about scheduled tasks, background processing, cron jobs, RQ workers, job queues, async tasks.