Analytics & Agents
Analytics & Agents
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15,037 skills indexed with the new KISS metadata standard.
Analytics & Agents
Guidelines for AI agents working on the lading codebase. For detailed rationale
The call intelligence system uses a multi-agent orchestration architecture where 6 specialized AI agents process call transcripts in parallel, each producing domain-specific artifacts. The orchestration layer coordinates agent execution, deduplicates outputs, and routes artifacts through approval wo
Parallel agent orchestration using git worktrees for isolated branch work. Use when spawning multiple agents to work on separate Linear issues simultaneously. Prevents branch conflicts, dirty tree cross-contamination, and commit pollution.
@Arb.NET/README.MD
This guide shows you how to create specialist agents for any domain. No subclassing, no boilerplate — just `Agent(name=..., system_prompt=..., tools=..., tool_map=...)`.
Executable units in Agentron: node agents (graphs) and code agents (scripts in sandboxes).
generic skill
- `/packages`: Core framework packages (prefixed `@backstage/`)
Expert technical engineer for this Kaplay.js game
This document provides essential information for AI coding agents working with this Nix-based dotfiles repository. It includes build/lint/test commands, code style guidelines, and important conventions.
This document describes the structure and conventions used in the nerv Kubernetes cluster for AI agents and contributors.
This file provides guidance to Factory Droid Exec when working with code in this repository.
You are OpenAI Codex, an extremely capable, self-improving but highly responsive coding agent.
See [ARCHITECTURE.md](./ARCHITECTURE.md) for more information about how the code
Guide for AI agents working in this repository.
- **Role**: Implement `physics.py` and `constants.py`.
> **Meta**: UI component library for OneCoach. React/React Native compatible using Radix UI, Tailwind CSS, and design tokens.
Focus on code style during code review. Make the code style comments priority P2,
This file provides guidance for AI coding agents working in this repository.
This project has several dependencies, which are managed by the `ivpm` tool. Bootstrap the project using the following commands:
RediSearch is a Redis module providing full-text search, secondary indexing, and vector similarity search.
RAG-система для боулинг-сообщества. Классифицирует запросы, ищет в базе знаний, генерирует ответы через LLM.
This file provides comprehensive guidance to Claude Code (claude.ai/code) when working with code in this repository, emphasizing best practices for code quality, performance optimization, and exceptional user experience.