Find agent skills by outcome

AGENTS.md

This file provides guidance to AI agents when working with code in this repository.

AGENTS.md

- Nineva Studios documentation site built with Docsify.

LOWCAL.md – Project Context for LowCal-dev

This file provides instructional context for future interactions with the LowCal-dev repository. It is generated from an analysis of the repository structure, key files, and documentation present in the project. It aims to guide how the AI should approach tasks related to this codebase.

Codex Proxy Context

The `codex-proxy` is a Python-based intermediary service for the Codex system, designed to handle API orchestration and environment-specific logic. It is container-native and relies on Docker for consistent execution.

Project Documentation

**MUST READ** before working on this codebase:

Agent Guidelines for Neovim Configuration

This is a personal system wide Vim/Neovim configuration, written in Lua and Vimscript.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

AGENTS.md

This file provides context for AI agents working with the Socialify codebase.

Data

Agents

This file documents the agents used by the Virtual-Cockpit repository: their responsibilities, configuration, and how to add or run agents locally and in CI.

Repository Guidelines

- Source: `src/nextmeeting/` (CLI entry in `cli.py`).

Dojo.js Agent Guide

- Primary package manager: install deps via `bun install`.

AGENTS.md

Learnings and patterns for future agents working on this project.

General

AGENTS

- Premature Optimization is the Root of All Evil

Pact Python - Quick Reference for AI Agents

- **Test**: `hatch run test` (all tests) or call `pytest` directly.

Toha Hugo Theme - AI Agent Context

This is **Toha**, a personal portfolio theme for the [Hugo](https://gohugo.io/) static site generator.

Writing

use next js 15

use set Shadcn

Agent Instructions

Guidelines for AI agents working on the lading codebase. For detailed rationale

Rust Development Rules for AI Agents

- Always check cyclomatic complexity < 25

Agentic Repository Overview

This repository contains subagents and commands designed to enhance opencode's capabilities through modular, specialized components.

Ax LLM Framework - Agent Instructions

Ax is a TypeScript framework for building LLM-powered agents with end-to-end streaming, multi-modal DSPy capabilities, and typed signatures. It provides a standard interface across all top LLMs with features like prompt compilation, native streaming, agent orchestration, RAG, vector databases, and a