This repository contains a collection of **Agent Skills**—standardized, specialized sets of instructions and workflows designed to enhance AI agents (like Claude Code, Codex, Kimi CLI, and Gemini CLI, etc.) with domain-specific expertise.
npx skills add k1lgor/virtual-companyThis repository contains a collection of Agent Skills—standardized, specialized sets of instructions and workflows designed to enhance AI agents (like Claude Code, Codex, Kimi CLI, and Gemini CLI, etc.) with domain-specific expertise.
🤖 Distill sequences effectively with DASD-Thinking for improved long-context reasoning and performance in complex tasks.
gstack methodology ported to pi-coding-agent: opinionated review, QA, security audit, and ship workflows as prompt templates and skills
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Extract tasks, schedules, and key info from WeChat chats and sync them to Discord and Apple Calendar for efficient tracking.
Bootstrap a modular AI agent with OpenRouter SDK, extensible hooks, and optional Ink TUI
Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).