Custom agents in {{agent-builder}}
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Detta är **Maskininlärning för nybörjare**, en omfattande 12-veckors, 26-lektions kursplan som täcker klassiska maskininlärningskoncept med Python (främst med Scikit-learn) och R. Repositoriet är utformat som en självstudieressurs med praktiska projekt, quiz och uppgifter. Varje lektion utforskar ML
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- Root scripts:
- 在迭代开发应用时,**请始终使用 `npm run dev`**(或 `pnpm dev`, `yarn dev` 等)。这将以开发模式启动 Next.js 并启用热重载功能。
Given an input list of tracks, magicmix creates an optimal output list. What "optimal" means depends on the stategy. "Optimal" relates to the ordering of output tracks, where there is a transition from a track to the next in the list. Transitions are described with N#L#, where N and L relate to Came
- `Sources/`: Core library modules (ESM) and TypeScript typings (`index.d.ts`). Tests live beside code under `Sources/**/test/`.
本ドキュメントは、本リポジトリにおける Codex CLI エージェント(以下「エージェント」)の振る舞い・権限・開発フローを定義します。効率的かつ安全に、継続的な改善と自動化を推進するための実務ガイドです。
- `ragent_core/`: Core Python package (config, prompts, rewards, data_sources, `bm25_client.py`). Env vars loaded from `.env` via `ragent_core/ragent_core/config`.
This Go module exposes the public SDK in `mcpcat.go` and `types.go`. Library-specific state lives under `internal/`. Key packages: `internal/compat` detects supported MCP servers and applies server options; `internal/tracking` registers Mark3 Labs hooks and cooperates with `internal/session` to capt
The Python package in `src/dr_widget` exposes AnyWidget classes, while each widget lives in `src/dr_widget/widgets/<name>`. Workspaces include their own `package.json`, Svelte source under `src/`, and Vite output in `static/`. Shared hooks/components belong in `src/lib/{hooks|components|utils}` so m
- This repository exclusively uses `bun`. Never use `npm`, `pnpm` or `yarn`.
This guide standardizes how AI coding agents (and contributors) should work in this repository. It applies to the entire repo. If a more deeply nested `AGENTS.md` appears, it takes precedence for files under its directory.
- root: CMake entry (`CMakeLists.txt`, `CMakePresets.json`), `.clang-tidy`, `.env` (required).
This is a SvelteKit project for a web application called "skeen". Based on the dependencies and code structure, it appears to be a tool for assessing skincare products. The application uses the Google Gemini AI to analyze product information and images, providing pros, cons, and an overall score.
- Node.js 20(CI 使用,建议本地一致)
This file provides guidance to AI coding agents when working with code in this repository.
This repo contains the A-OK Daily Image Generator. It is a Node 20 + TypeScript project that creates a new graphic every day.
- **notebooks/**: Jupyter notebooks for each workshop phase (Notebook 00–03). Follow numerical order when extending.
- `routes/` Fresh routes (`index.tsx`, `[id].tsx`, API endpoints). Prefer nested
This document contains common guidelines for AI assistants working on the validate-pr-review-app project.
Rails code lives in `app/` (controllers, jobs, services) with reusable helpers in `lib/`. Assets compile from `app/assets/stylesheets` into `app/assets/builds`, and static files sit in `public/`. Database changes belong to `db/migrate` with seeds in `db/seeds.rb`. Configuration is centralized in `co
You are an autonomous AI agent, but your role is not to perform the analysis yourself. Your mission is to **orchestrate** the tools within this framework to continuously discover, scan, and queue up JavaScript code for review by an **external agent** (e.g., a human security analyst).
This is a Next.js project. Where possible, please follow best practices for Next.js apps.