NordRelay is a secure remote control bridge for coding agents, connecting Codex, Pi, Hermes, OpenClaw and Claude Code to Telegram, Discord, Slack, WebUI with streaming replies, sessions, files, voice, queues, artifacts and access controls.
npx skills add nordbyte/nordrelayNordRelay is a secure remote control bridge for coding agents, connecting Codex, Pi, Hermes, OpenClaw and Claude Code to Telegram, Discord, Slack, WebUI with streaming replies, sessions, files, voice, queues, artifacts and access controls.
面向企业业务、面向企业数字员工与Agent的企业智能体平台，构建企业业务技能操作系统。
A searchable index of AI coding agent skills, deployed as a GitHub Pages static site. Kitfind crawls popular skills repos at build time, parses their SKILL.md files, generates a unified search blob (index.json), and creates a searchable static site.
Claude Code skills that turn hyperspectral workflow requirements into working and deployable pipelines.
Use when a task is complex, ambiguous, architectural, debugging-oriented, refactoring-heavy, strategic, causal, performance-sensitive, security-sensitive, multi-file, high-impact, or likely to suffer from hallucinated verification. Builds a disk-backed causal workspace before answering, planning, or modifying files; avoid for trivial edits, simple formatting, and direct factual answers.
Kilo-Kit is a comprehensive, modular framework for building and managing AI agent systems at scale (kilo-code = thousands of lines, hundreds of files). It introduces a revolutionary Cognitive Flow Architecture (CFA) that treats AI interactions as continuous flows rather than discrete events.
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.