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Found 635 Skills
Better environment variable management for agents and humans with full type safety, CLI-based remote environment synchronization, and environment validation. Use when setting up typed config schemas, validating env variables, or managing remote env vars across Vercel, Netlify, Railway, Cloudflare, and Fly.io with better-env.
Create and manage Kibana connectors for Slack, PagerDuty, Jira, webhooks, and more via REST API or Terraform. Use when configuring third-party integrations or managing connectors as code.
Transcribes audio to text with timestamps and optional speaker identification. Use when you need to convert speech to text, create subtitles, transcribe meetings, or process voice recordings.
Use when "evaluating technology", "choosing frameworks", "stack comparison", "technology decisions", or asking about "React vs Vue", "PostgreSQL vs MySQL", "AWS vs GCP", "build vs buy"
Understand and use Context API in Umbraco backoffice (foundational concept)
Set up and manage Descope projects with Terraform. Use when configuring authentication infrastructure as code, managing environments, creating roles/permissions, setting up connectors, or deploying Descope project configurations.
Current Ethereum development tools, frameworks, libraries, RPCs, and block explorers. What actually works today for building on Ethereum. Includes tool discovery for AI agents — MCPs, abi.ninja, Foundry, Scaffold-ETH 2, Hardhat, and more. Use when setting up a dev environment, choosing tools, or when an agent needs to discover what's available.
通过兔子API（nano-banana 模型）、Google、OpenAI、DashScope 和 Replicate 进行 AI 图片生成。支持文生图、参考图片、宽高比、模型选择。当用户要求生成、创建或绘制图片时使用。
XState Store adapter for json-render's StateStore interface. Use when integrating json-render with @xstate/store for state management via @json-render/xstate.
Assistant for newapi (new-api), an open-source unified AI gateway platform (https://github.com/QuantumNous/new-api). Use when the user asks about New API, managing models, groups, balance, or tokens, or securely copying keys, applying them to config files, or using them in commands without exposing secrets.
Vector embeddings configuration and semantic search
Multi-model agent orchestration using specialized agents for planning, coding, research, math/science, visual analysis, and adversarial review. Use when tasks are complex enough to benefit from different models' strengths, when you want adversarial review to catch blind spots, or when coordinating multi-step workflows across agent roles. Triggers on complex projects, multi-step tasks, architecture decisions, or when explicitly requested.