fix: align GHCR registry and install URLs with thought2code

Co-authored-by: Cursor <cursoragent@cursor.com>

Author: codeboyzhou

README.md

@@ -84,13 +84,13 @@ Pick the path that matches your goal:
 macOS / Linux:
 
 ```bash
-curl -fsSL https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/scripts/install.sh | bash
+curl -fsSL https://raw.githubusercontent.com/thought2code/video-driven-skill/main/scripts/install.sh | bash
 ```
 
 Windows (PowerShell):
 
 ```powershell
-irm https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/scripts/install.ps1 | iex
+irm https://raw.githubusercontent.com/thought2code/video-driven-skill/main/scripts/install.ps1 | iex
 ```
 
 If you already cloned the repo, run `./scripts/install.sh` or `.\scripts\install.ps1` from the project instead.
@@ -109,7 +109,7 @@ AI_API_KEY=your-key-here
 
 | Tag                | When to use                                                                          |
 |--------------------|--------------------------------------------------------------------------------------|
-| `latest` (default) | Track the newest [release](https://github.com/ingorewho/video-driven-skill/releases) |
+| `latest` (default) | Track the newest [release](https://github.com/thought2code/video-driven-skill/releases) |
 | `v1.0.0` (example) | Pin a specific release in production                                                 |
 
 ```bash
@@ -120,7 +120,7 @@ Or set `VD_SKILL_IMAGE_TAG=v1.0.0` when running `docker compose -f docker-compos
 
 **How images are published**
 
-- Registry: `ghcr.io/ingorewho/video-driven-skill-backend` and `ghcr.io/ingorewho/video-driven-skill-frontend`
+- Registry: `ghcr.io/thought2code/video-driven-skill-backend` and `ghcr.io/thought2code/video-driven-skill-frontend`
 - **A new image is built only when a version Git tag is pushed** (e.g. `v1.0.0`, `v1.2.3`). Pushes to `main` alone do **not** publish images.
 - Tag `latest` on GHCR always points to the **most recent** `v*` release.
 
@@ -140,8 +140,8 @@ Or set `VD_SKILL_IMAGE_TAG=v1.0.0` when running `docker compose -f docker-compos
 
 ```bash
 mkdir -p ~/video-driven-skill && cd ~/video-driven-skill
-curl -fsSL https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/docker-compose.release.yml -o docker-compose.release.yml
-curl -fsSL https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/.env.example -o .env
+curl -fsSL https://raw.githubusercontent.com/thought2code/video-driven-skill/main/docker-compose.release.yml -o docker-compose.release.yml
+curl -fsSL https://raw.githubusercontent.com/thought2code/video-driven-skill/main/.env.example -o .env
 # Edit .env — set AI_API_KEY
 docker compose -f docker-compose.release.yml pull
 docker compose -f docker-compose.release.yml up -d
@@ -156,7 +156,7 @@ docker compose -f docker-compose.release.yml up -d
 **What this does:** Clones the repo and **builds** images locally with `docker-compose.yml`. Use this when you are developing, need unreleased `main`, or want the China mirror overlay for faster base-image pulls.
 
 ```bash
-git clone https://github.com/ingorewho/video-driven-skill.git
+git clone https://github.com/thought2code/video-driven-skill.git
 cd video-driven-skill
 ```
 

README.zh-CN.md

@@ -84,13 +84,13 @@ Video Driven Skill 是一套开源的**自动化工作室**：把**屏幕录屏*
 macOS / Linux：
 
 ```bash
-curl -fsSL https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/scripts/install.sh | bash
+curl -fsSL https://raw.githubusercontent.com/thought2code/video-driven-skill/main/scripts/install.sh | bash
 ```
 
 Windows（PowerShell）：
 
 ```powershell
-irm https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/scripts/install.ps1 | iex
+irm https://raw.githubusercontent.com/thought2code/video-driven-skill/main/scripts/install.ps1 | iex
 ```
 
 若已克隆仓库，可在项目根目录执行 `./scripts/install.sh` 或 `.\scripts\install.ps1`。
@@ -109,7 +109,7 @@ AI_API_KEY=你的密钥
 
 | 镜像标签 | 适用场景 |
 |----------|----------|
-| `latest`（默认） | 始终使用最新 [Release](https://github.com/ingorewho/video-driven-skill/releases) |
+| `latest`（默认） | 始终使用最新 [Release](https://github.com/thought2code/video-driven-skill/releases) |
 | `v1.0.0`（示例） | 生产环境固定某一发行版 |
 
 ```bash
@@ -120,7 +120,7 @@ AI_API_KEY=你的密钥
 
 **镜像如何发布**
 
-- 镜像地址：`ghcr.io/ingorewho/video-driven-skill-backend`、`ghcr.io/ingorewho/video-driven-skill-frontend`
+- 镜像地址：`ghcr.io/thought2code/video-driven-skill-backend`、`ghcr.io/thought2code/video-driven-skill-frontend`
 - **仅在推送版本 Git 标签时构建**（如 `v1.0.0`、`v1.2.3`）。仅推送到 `main` **不会**产生新镜像。
 - GHCR 上的 `latest` 标签始终指向**最近一次** `v*` 发行版。
 
@@ -140,8 +140,8 @@ AI_API_KEY=你的密钥
 
 ```bash
 mkdir -p ~/video-driven-skill && cd ~/video-driven-skill
-curl -fsSL https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/docker-compose.release.yml -o docker-compose.release.yml
-curl -fsSL https://raw.githubusercontent.com/ingorewho/video-driven-skill/main/.env.example -o .env
+curl -fsSL https://raw.githubusercontent.com/thought2code/video-driven-skill/main/docker-compose.release.yml -o docker-compose.release.yml
+curl -fsSL https://raw.githubusercontent.com/thought2code/video-driven-skill/main/.env.example -o .env
 # 编辑 .env — 填写 AI_API_KEY
 docker compose -f docker-compose.release.yml pull
 docker compose -f docker-compose.release.yml up -d
@@ -156,7 +156,7 @@ docker compose -f docker-compose.release.yml up -d
 **做什么：** 克隆仓库后使用 `docker-compose.yml` **本地构建**镜像。适合开发调试、需要未发版的 `main`，或使用国内镜像加速**本地构建**（与上方 GHCR 安装无关）。
 
 ```bash
-git clone https://github.com/ingorewho/video-driven-skill.git
+git clone https://github.com/thought2code/video-driven-skill.git
 cd video-driven-skill
 ```
 

docker-compose.release.yml

@@ -7,7 +7,7 @@ name: video-driven-skill
 
 services:
   backend:
-    image: ghcr.io/ingorewho/video-driven-skill-backend:${VD_SKILL_IMAGE_TAG:-latest}
+    image: ghcr.io/thought2code/video-driven-skill-backend:${VD_SKILL_IMAGE_TAG:-latest}
     environment:
       VIDEO_DRIVEN_SKILL_HOME: /data
       AI_API_KEY: ${AI_API_KEY:-}
@@ -27,7 +27,7 @@ services:
     restart: unless-stopped
 
   frontend:
-    image: ghcr.io/ingorewho/video-driven-skill-frontend:${VD_SKILL_IMAGE_TAG:-latest}
+    image: ghcr.io/thought2code/video-driven-skill-frontend:${VD_SKILL_IMAGE_TAG:-latest}
     ports:
       - "${FRONTEND_PORT:-3000}:80"
     depends_on:

scripts/install.ps1

@@ -11,7 +11,7 @@ param(
 )
 
 $ErrorActionPreference = "Stop"
-$Repo = "ingorewho/video-driven-skill"
+$Repo = "thought2code/video-driven-skill"
 $RawBase = "https://raw.githubusercontent.com/$Repo/$Ref"
 
 if (-not (Get-Command docker -ErrorAction SilentlyContinue)) {

scripts/install.sh

@@ -5,7 +5,7 @@
 
 set -euo pipefail
 
-REPO="ingorewho/video-driven-skill"
+REPO="thought2code/video-driven-skill"
 REF="${VD_SKILL_REF:-main}"
 INSTALL_DIR="${VD_SKILL_INSTALL_DIR:-$HOME/video-driven-skill}"
 IMAGE_TAG="${VD_SKILL_IMAGE_TAG:-latest}"