diff --git a/README.md b/README.md
index 29372bf..90bf046 100644
--- a/README.md
+++ b/README.md
@@ -30,6 +30,13 @@ MYSQL_PASSWORD=houhou
 <wechat-robot-image-url>图片URL4</wechat-robot-image-url>
 ```
 
+**需要发送视频的时候可以在控制台输出如下内容**
+
+```
+<wechat-robot-video-url>视频URL1</wechat-robot-video-url>
+<wechat-robot-video-url>视频URL2</wechat-robot-video-url>
+```
+
 **发送图片的时候也可以调用 Agent 接口**
 
 ```
@@ -43,3 +50,17 @@ MYSQL_PASSWORD=houhou
 }
 
 ```
+
+**发送视频的时候也可以调用 Agent 接口**
+
+```
+[POST] http://127.0.0.1:{ROBOT_WECHAT_CLIENT_PORT}/api/v1/robot/message/send/video/url
+
+请求体 Body:
+
+{
+  "to_wxid": "{{ROBOT_FROM_WX_ID}}",
+  "video_urls": ["{{videourl}}"]
+}
+
+```
diff --git a/skills/video-generation/SKILL.md b/skills/video-generation/SKILL.md
new file mode 100644
index 0000000..e686b4e
--- /dev/null
+++ b/skills/video-generation/SKILL.md
@@ -0,0 +1,116 @@
+---
+name: video-generation
+description: "AI 视频生成工具。当用户想生成视频、文生视频、图生视频、让图片动起来、指定首帧尾帧生成视频时使用。支持纯文本生成视频，或使用 1 张图片作为首帧、2 张图片作为首帧和尾帧。"
+argument-hint: "需要 prompt；可选 model、file_paths、ratio、resolution、duration。file_paths 最多 2 个。"
+---
+
+# Video Generation Skill
+
+## 描述
+
+这是一个 AI 视频生成技能，覆盖两类常见场景：
+
+- 文生视频：用户只提供文本描述。
+- 图生视频：用户提供 1 张首帧图，或 2 张首尾帧图，再结合提示词生成视频。
+
+当前实现对接即梦视频接口，从数据库中的绘图配置读取 `base_url`、`sessionid` 等信息。脚本生成成功后会直接调用机器人客户端接口发送视频，不再输出固定的 XML 视频标签。
+
+## 触发条件
+
+- 用户想生成视频、做一段短视频、让画面动起来。
+- 用户说「生成一个视频」「做个视频」「把这张图做成视频」「首帧是这张图」「尾帧用这张图」。
+- 用户提到「文生视频」「图生视频」「首帧尾帧视频」「AI 视频生成」。
+
+## 入参规范
+
+```json
+{
+  "type": "object",
+  "properties": {
+    "prompt": {
+      "type": "string",
+      "description": "根据用户输入的文本内容，提取出生成视频的提示词，但是不要对提示词进行修改。"
+    },
+    "model": {
+      "type": "string",
+      "description": "视频模型选择，可选，默认 none。",
+      "enum": [
+        "none",
+        "jimeng-video-seedance-2.0",
+        "jimeng-video-3.5-pro",
+        "jimeng-video-veo3",
+        "jimeng-video-veo3.1",
+        "jimeng-video-sora2",
+        "jimeng-video-3.0-pro",
+        "jimeng-video-3.0",
+        "jimeng-video-3.0-fast"
+      ],
+      "default": "none"
+    },
+    "file_paths": {
+      "type": "array",
+      "items": {
+        "type": "string"
+      },
+      "description": "用于视频首尾帧的图片地址列表，可选。0 个表示文生视频，1 个表示首帧图生视频，2 个表示首尾帧图生视频。最多 2 个。"
+    },
+    "ratio": {
+      "type": "string",
+      "description": "视频比例，可选，默认 4:3。",
+      "default": "4:3"
+    },
+    "resolution": {
+      "type": "string",
+      "description": "视频分辨率，可选，默认 720p。",
+      "default": "720p"
+    },
+    "duration": {
+      "type": "integer",
+      "description": "视频时长，单位秒，可选，默认 5。",
+      "default": 5
+    }
+  },
+  "required": ["prompt"],
+  "additionalProperties": false
+}
+```
+
+对应的命令行参数为：
+
+- `--prompt <提示词>` 必填
+- `--model <模型名>` 可选
+- `--file_paths <图片地址>` 可选，可重复传入 0 到 2 次
+- `--ratio <比例>` 可选
+- `--resolution <分辨率>` 可选
+- `--duration <秒数>` 可选
+
+## 依赖安装
+
+- 脚本首次运行时会自动创建虚拟环境并安装依赖，无需手动执行。
+- 如需手动重新安装，可执行：`python3 video-generation/scripts/bootstrap.py`
+
+## 执行步骤
+
+1. 当用户想生成视频时触发该技能。
+2. 从用户输入中提取 `prompt`，不要改写提示词本身。
+3. 根据上下文可选提取 `model`、`file_paths`、`ratio`、`resolution`、`duration`。
+4. 如果用户没有明确指定模型，默认使用 `jimeng-video-3.0-fast`。
+5. 在仓库根目录执行脚本，例如：
+
+```bash
+python3 video-generation/scripts/video_generation.py --prompt '海边日落，镜头缓慢推进' --file_paths 'https://example.com/start.jpg'
+```
+
+6. 脚本生成视频后会自动调用客户端接口 `POST http://127.0.0.1:{ROBOT_WECHAT_CLIENT_PORT}/api/v1/robot/message/send/video/url` 将视频发送给用户，成功时输出「视频发送成功」。
+
+## 校验规则
+
+- `prompt` 不能为空。
+- `file_paths` 最多只能有 2 个。
+- 目前只支持即梦视频模型。
+- 若数据库里关闭了 AI 绘图能力或即梦配置不可用，脚本会直接返回明确错误。
+
+## 回复要求
+
+- 成功时，脚本输出「视频发送成功」，表示视频已通过客户端接口直接发送，无需 AI 智能体再做额外处理。
+- 失败时，返回脚本输出的具体错误信息。
diff --git a/skills/video-generation/scripts/bootstrap.py b/skills/video-generation/scripts/bootstrap.py
new file mode 100644
index 0000000..7a16904
--- /dev/null
+++ b/skills/video-generation/scripts/bootstrap.py
@@ -0,0 +1,128 @@
+#!/usr/bin/env python3
+
+from __future__ import annotations
+
+import hashlib
+import subprocess
+import sys
+import traceback
+from pathlib import Path
+
+sys.stderr = sys.stdout
+
+
+def _skill_root_from(script_dir: Path) -> Path:
+    return script_dir.parent
+
+
+def _venv_dir(script_dir: Path) -> Path:
+    return _skill_root_from(script_dir) / ".venv"
+
+
+def _venv_python(venv_dir: Path) -> Path:
+    if sys.platform == "win32":
+        return venv_dir / "Scripts" / "python.exe"
+    return venv_dir / "bin" / "python"
+
+
+def _stamp_file(venv_dir: Path) -> Path:
+    return venv_dir / ".req_hash"
+
+
+def _file_hash(path: Path) -> str:
+    return hashlib.sha256(path.read_bytes()).hexdigest()
+
+
+def _deps_up_to_date(requirements_file: Path, venv_dir: Path) -> bool:
+    stamp = _stamp_file(venv_dir)
+    if not stamp.is_file():
+        return False
+    return stamp.read_text().strip() == _file_hash(requirements_file)
+
+
+def _write_stamp(requirements_file: Path, venv_dir: Path) -> None:
+    _stamp_file(venv_dir).write_text(_file_hash(requirements_file))
+
+
+def _ensure_venv(venv_dir: Path, venv_python: Path) -> int:
+    if venv_python.is_file():
+        return 0
+
+    sys.stdout.write(f"未检测到技能虚拟环境，正在创建: {venv_dir}\n")
+    command = [
+        sys.executable,
+        "-m",
+        "venv",
+        str(venv_dir),
+    ]
+
+    try:
+        subprocess.run(command, check=True, stdout=sys.stdout, stderr=sys.stdout)
+    except subprocess.CalledProcessError as exc:
+        sys.stdout.write(f"创建虚拟环境失败，退出码: {exc.returncode}\n")
+        return exc.returncode or 1
+
+    return 0
+
+
+def main() -> int:
+    script_dir = Path(__file__).resolve().parent
+    requirements_file = script_dir / "requirements.txt"
+    venv_dir = _venv_dir(script_dir)
+    venv_python = _venv_python(venv_dir)
+
+    if not requirements_file.is_file():
+        sys.stdout.write(f"未找到依赖文件: {requirements_file}\n")
+        return 1
+
+    ensure_result = _ensure_venv(venv_dir, venv_python)
+    if ensure_result != 0:
+        return ensure_result
+
+    if _deps_up_to_date(requirements_file, venv_dir):
+        sys.stdout.write("依赖已是最新，跳过安装\n")
+        return 0
+
+    command = [
+        str(venv_python),
+        "-m",
+        "pip",
+        "install",
+        "--upgrade",
+        "pip",
+    ]
+
+    try:
+        subprocess.run(command, check=True, stdout=sys.stdout, stderr=sys.stdout)
+    except subprocess.CalledProcessError as exc:
+        sys.stdout.write(f"升级 pip 失败，退出码: {exc.returncode}\n")
+        return exc.returncode or 1
+
+    command = [
+        str(venv_python),
+        "-m",
+        "pip",
+        "install",
+        "-r",
+        str(requirements_file),
+    ]
+
+    try:
+        subprocess.run(command, check=True, stdout=sys.stdout, stderr=sys.stdout)
+    except subprocess.CalledProcessError as exc:
+        sys.stdout.write(f"安装依赖失败，退出码: {exc.returncode}\n")
+        return exc.returncode or 1
+
+    _write_stamp(requirements_file, venv_dir)
+    sys.stdout.write(f"依赖安装完成，当前技能虚拟环境: {venv_dir}\n")
+    return 0
+
+
+if __name__ == "__main__":
+    try:
+        raise SystemExit(main())
+    except SystemExit:
+        raise
+    except Exception:
+        traceback.print_exc(file=sys.stdout)
+        raise SystemExit(1)
\ No newline at end of file
diff --git a/skills/video-generation/scripts/requirements.txt b/skills/video-generation/scripts/requirements.txt
new file mode 100644
index 0000000..9e7dd9d
--- /dev/null
+++ b/skills/video-generation/scripts/requirements.txt
@@ -0,0 +1 @@
+pymysql
\ No newline at end of file
diff --git a/skills/video-generation/scripts/video_generation.py b/skills/video-generation/scripts/video_generation.py
new file mode 100644
index 0000000..d661011
--- /dev/null
+++ b/skills/video-generation/scripts/video_generation.py
@@ -0,0 +1,358 @@
+#!/usr/bin/env python3
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import subprocess
+import sys
+import traceback
+import urllib.request
+from pathlib import Path
+
+sys.stderr = sys.stdout
+
+
+SUPPORTED_MODELS = {
+    "jimeng-video-seedance-2.0",
+    "jimeng-video-3.5-pro",
+    "jimeng-video-veo3",
+    "jimeng-video-veo3.1",
+    "jimeng-video-sora2",
+    "jimeng-video-3.0-pro",
+    "jimeng-video-3.0",
+    "jimeng-video-3.0-fast",
+}
+DEFAULT_MODEL = "jimeng-video-3.0-fast"
+DEFAULT_RATIO = "4:3"
+DEFAULT_RESOLUTION = "720p"
+DEFAULT_DURATION = 5
+
+
+def _skill_root() -> Path:
+    script_dir = Path(__file__).resolve().parent
+    return script_dir.parent
+
+
+def _skill_venv_python() -> Path:
+    venv_dir = _skill_root() / ".venv"
+    if sys.platform == "win32":
+        return venv_dir / "Scripts" / "python.exe"
+    return venv_dir / "bin" / "python"
+
+
+def _run_bootstrap() -> None:
+    bootstrap = Path(__file__).resolve().parent / "bootstrap.py"
+    result = subprocess.run([sys.executable, str(bootstrap)])
+    if result.returncode != 0:
+        raise SystemExit(result.returncode)
+
+
+def _ensure_skill_venv_python() -> None:
+    venv_python = _skill_venv_python()
+    if not venv_python.is_file():
+        _run_bootstrap()
+        venv_python = _skill_venv_python()
+        if not venv_python.is_file():
+            sys.stdout.write("bootstrap 后仍未找到虚拟环境\n")
+            raise SystemExit(1)
+
+    venv_dir = _skill_root() / ".venv"
+    if Path(sys.prefix) == venv_dir.resolve():
+        return
+
+    os.execv(str(venv_python), [str(venv_python), str(Path(__file__).resolve()), *sys.argv[1:]])
+
+
+_ensure_skill_venv_python()
+
+try:
+    import pymysql  # type: ignore  # noqa: E402
+except ModuleNotFoundError:
+    _run_bootstrap()
+    os.execv(sys.executable, [sys.executable, str(Path(__file__).resolve()), *sys.argv[1:]])
+
+
+def _mysql_connect():
+    host = os.environ.get("MYSQL_HOST", "127.0.0.1")
+    port = int(os.environ.get("MYSQL_PORT", "3306"))
+    user = os.environ.get("MYSQL_USER", "root")
+    password = os.environ.get("MYSQL_PASSWORD", "")
+    database = os.environ.get("ROBOT_CODE", "")
+    if not database:
+        raise RuntimeError("环境变量 ROBOT_CODE 未配置")
+
+    return pymysql.connect(
+        host=host,
+        port=port,
+        user=user,
+        password=password,
+        database=database,
+        charset="utf8mb4",
+        connect_timeout=10,
+        read_timeout=30,
+    )
+
+
+def _query_one(conn, sql: str, params: tuple = ()) -> dict | None:
+    cur = conn.cursor()
+    cur.execute(sql, params)
+    columns = [desc[0] for desc in cur.description] if cur.description else []
+    row = cur.fetchone()
+    cur.close()
+    if row is None:
+        return None
+    return dict(zip(columns, row))
+
+
+def load_drawing_settings(conn, from_wx_id: str) -> tuple[bool, dict]:
+    gs = _query_one(conn, "SELECT image_ai_enabled, image_ai_settings FROM global_settings LIMIT 1")
+    enabled = False
+    settings_json: dict = {}
+
+    if gs:
+        if gs.get("image_ai_enabled") is not None:
+            enabled = bool(gs["image_ai_enabled"])
+        raw = gs.get("image_ai_settings")
+        if raw:
+            if isinstance(raw, (bytes, bytearray)):
+                raw = raw.decode("utf-8")
+            if isinstance(raw, str) and raw.strip():
+                settings_json = json.loads(raw)
+
+    if from_wx_id.endswith("@chatroom"):
+        override = _query_one(
+            conn,
+            "SELECT image_ai_enabled, image_ai_settings FROM chat_room_settings WHERE chat_room_id = %s LIMIT 1",
+            (from_wx_id,),
+        )
+    else:
+        override = _query_one(
+            conn,
+            "SELECT image_ai_enabled, image_ai_settings FROM friend_settings WHERE wechat_id = %s LIMIT 1",
+            (from_wx_id,),
+        )
+
+    if override:
+        if override.get("image_ai_enabled") is not None:
+            enabled = bool(override["image_ai_enabled"])
+        raw = override.get("image_ai_settings")
+        if raw:
+            if isinstance(raw, (bytes, bytearray)):
+                raw = raw.decode("utf-8")
+            if isinstance(raw, str) and raw.strip():
+                settings_json = json.loads(raw)
+
+    return enabled, settings_json
+
+
+def _resolve_jimeng_config(settings_json: dict) -> dict:
+    jimeng_config = settings_json.get("JiMeng")
+    if isinstance(jimeng_config, dict) and jimeng_config:
+        return jimeng_config
+    if isinstance(settings_json, dict):
+        return settings_json
+    return {}
+
+
+def _normalize_session_ids(raw: object) -> list[str]:
+    if isinstance(raw, str):
+        return [raw] if raw.strip() else []
+    if isinstance(raw, list):
+        return [item.strip() for item in raw if isinstance(item, str) and item.strip()]
+    return []
+
+
+def _http_post_json(url: str, body: dict, headers: dict, timeout: int = 300) -> dict:
+    data = json.dumps(body).encode("utf-8")
+    req = urllib.request.Request(url, data=data, headers=headers, method="POST")
+    with urllib.request.urlopen(req, timeout=timeout) as resp:
+        return json.loads(resp.read().decode("utf-8"))
+
+
+def send_videos(from_wx_id: str, video_urls: list[str]) -> None:
+    client_port = os.environ.get("ROBOT_WECHAT_CLIENT_PORT", "").strip()
+    if not client_port:
+        raise RuntimeError("环境变量 ROBOT_WECHAT_CLIENT_PORT 未配置")
+
+    send_url = f"http://127.0.0.1:{client_port}/api/v1/robot/message/send/video/url"
+    send_body = {
+        "to_wxid": from_wx_id,
+        "video_urls": [url for url in video_urls if url],
+    }
+    _http_post_json(send_url, send_body, {"Content-Type": "application/json"}, timeout=60)
+
+
+def call_jimeng_video(
+    config: dict,
+    prompt: str,
+    model: str,
+    file_paths: list[str],
+    ratio: str,
+    resolution: str,
+    duration: int,
+) -> list[str]:
+    base_url = str(config.get("base_url", "")).rstrip("/")
+    session_ids = _normalize_session_ids(config.get("sessionid", []))
+    if not base_url or not session_ids:
+        raise RuntimeError("即梦视频配置缺少 base_url 或 sessionid")
+
+    body = {
+        "model": model or DEFAULT_MODEL,
+        "prompt": prompt,
+        "ratio": ratio or DEFAULT_RATIO,
+        "resolution": resolution or DEFAULT_RESOLUTION,
+        "duration": duration or DEFAULT_DURATION,
+        "response_format": "url",
+    }
+    if file_paths:
+        body["file_paths"] = file_paths
+
+    resp = _http_post_json(
+        f"{base_url}/v1/videos/generations",
+        body,
+        {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {','.join(session_ids)}",
+        },
+        timeout=300,
+    )
+
+    urls: list[str] = []
+    for item in resp.get("data", []):
+        if isinstance(item, dict):
+            url = item.get("url")
+            if isinstance(url, str) and url.strip():
+                urls.append(url)
+    return urls
+
+
+def _parse_cli_params(argv: list[str]) -> dict:
+    parser = argparse.ArgumentParser(add_help=False)
+    parser.add_argument("--prompt", default="")
+    parser.add_argument("--model", default="")
+    parser.add_argument("--file_paths", action="append", default=[])
+    parser.add_argument("--ratio", default="")
+    parser.add_argument("--resolution", default="")
+    parser.add_argument("--duration", type=int, default=0)
+
+    namespace, unknown = parser.parse_known_args(argv)
+    if unknown:
+        raise ValueError(f"存在不支持的参数: {' '.join(unknown)}")
+
+    return {
+        "prompt": namespace.prompt,
+        "model": namespace.model,
+        "file_paths": [path for path in namespace.file_paths if path.strip()],
+        "ratio": namespace.ratio,
+        "resolution": namespace.resolution,
+        "duration": namespace.duration,
+    }
+
+
+def main() -> int:
+    if len(sys.argv) < 2:
+        sys.stdout.write("缺少输入参数\n")
+        return 1
+
+    try:
+        params = _parse_cli_params(sys.argv[1:])
+    except ValueError as exc:
+        sys.stdout.write(f"参数格式错误: {exc}\n")
+        return 1
+
+    prompt = params.get("prompt", "").strip()
+    if not prompt:
+        sys.stdout.write("缺少视频提示词\n")
+        return 1
+
+    model = params.get("model", "").strip()
+    if not model or model == "none":
+        model = DEFAULT_MODEL
+    if model not in SUPPORTED_MODELS:
+        sys.stdout.write("不支持的 AI 视频模型\n")
+        return 1
+
+    file_paths = params.get("file_paths", [])
+    if len(file_paths) > 2:
+        sys.stdout.write("file_paths 最多只能传 2 个\n")
+        return 1
+
+    ratio = params.get("ratio", "").strip() or DEFAULT_RATIO
+    resolution = params.get("resolution", "").strip() or DEFAULT_RESOLUTION
+    duration = params.get("duration", 0) or DEFAULT_DURATION
+    if duration <= 0:
+        sys.stdout.write("duration 必须大于 0\n")
+        return 1
+
+    from_wx_id = os.environ.get("ROBOT_FROM_WX_ID", "").strip()
+    if not from_wx_id:
+        sys.stdout.write("环境变量 ROBOT_FROM_WX_ID 未配置\n")
+        return 1
+
+    try:
+        conn = _mysql_connect()
+    except Exception as exc:
+        sys.stdout.write(f"数据库连接失败: {exc}\n")
+        return 1
+
+    try:
+        enabled, settings_json = load_drawing_settings(conn, from_wx_id)
+    except Exception as exc:
+        sys.stdout.write(f"加载绘图配置失败: {exc}\n")
+        return 1
+    finally:
+        try:
+            conn.close()
+        except Exception:
+            pass
+
+    if not enabled:
+        sys.stdout.write("AI 生成视频未开启\n")
+        return 0
+
+    jimeng_config = _resolve_jimeng_config(settings_json)
+    if not isinstance(jimeng_config, dict) or not jimeng_config:
+        sys.stdout.write("未找到即梦视频配置\n")
+        return 1
+    if jimeng_config.get("enabled") is False:
+        sys.stdout.write("即梦视频未开启\n")
+        return 0
+
+    try:
+        video_urls = call_jimeng_video(
+            jimeng_config,
+            prompt,
+            model,
+            file_paths,
+            ratio,
+            resolution,
+            duration,
+        )
+    except Exception as exc:
+        sys.stdout.write(f"调用即梦生成视频接口失败: {exc}\n")
+        return 1
+
+    if not video_urls:
+        sys.stdout.write("未生成任何视频\n")
+        return 1
+
+    try:
+        send_videos(from_wx_id, video_urls)
+        sys.stdout.write("视频发送成功\n")
+    except Exception as exc:
+        sys.stdout.write(f"发送视频失败: {exc}\n")
+        return 1
+
+    return 0
+
+
+if __name__ == "__main__":
+    try:
+        raise SystemExit(main())
+    except SystemExit:
+        raise
+    except Exception:
+        traceback.print_exc(file=sys.stdout)
+        raise SystemExit(1)
\ No newline at end of file