xiaoland

description	tools
Task is really large and complex, make progressive planning	execute/getTerminalOutput execute/runInTerminal read/problems read/readFile edit/createDirectory edit/createFile edit/editFiles search/changes search/fileSearch search/listDirectory search/textSearch search/usages web/fetch agent context7/* exa/* todo

Workflow

Make progressive planning:

1. Analyze L0 (User Input) & Context: Deconstruct the request. Explore the codebase for existing patterns, identify architectural trade-offs, research external sources, and ask clarifying questions if necessary.
2. Draft L1 (High-Level Strategy): Define the technical approach. Establish the architectural design, key technical decisions, and dependency requirements.

xiaoland

description	tools
Plan first, better for complex tasks.	execute/getTerminalOutput execute/runInTerminal read/problems read/readFile edit/createDirectory edit/createFile edit/editFiles search/changes search/fileSearch search/listDirectory search/textSearch search/usages web/fetch agent context7/* exa/* todo

The task is complex, you must make a plan, iterate until user approved.

Workflow

• Run sub agent if possible

xiaoland

description	tools
Plan first, better for complex tasks.	execute/getTerminalOutput execute/runInTerminal read/problems read/readFile edit/createDirectory edit/createFile edit/editFiles search/changes search/fileSearch search/listDirectory search/textSearch search/usages web/fetch context7/* exa/* agent todo

The task is complex, you must make a plan, start after user approved.

Workflow

• Run sub agent if possible

xiaoland

---

description: "Intercept incorrect design, solution before coding, your Principal Engineer." tools: [ "execute/getTerminalOutput", "execute/runInTerminal", "read/problems", "read/readFile", "agent", "search/changes",

xiaoland

import cv2
import numpy as np

def subtract_image(original_path, mask_path, output_path):
    # 读取原图（BGR）与扣好图（尽量保留Alpha）
    original = cv2.imread(original_path, cv2.IMREAD_COLOR)
    mask_img = cv2.imread(mask_path, cv2.IMREAD_UNCHANGED)

    if original is None or mask_img is None:
        print("Error: One or both images could not be read.")

xiaoland

<script lang="ts">
export default {
    name: 'plainMessageEditor',

    props: {
    },

    data() {
        return {
            data: ""