wecode-ai
Official@wecode-ai
Enables structured data extraction, diagram generation, and isolated environment execution for complex technical development tasks.
Agent Skills by wecode-ai
Showing 17 vetted skills indexed across 1 GitHub repositories.
wecode-aicreate-smart-app
Create, validate, and package Wework Smart apps as DeepSeek Harness plugin bundles.
wecode-aihello-wework
Calls the hello_wework MCP tool to return a personalized greeting.
wecode-aiwegent-image-generation
Generates images from text prompts or reference images via an MCP image tool.
wecode-aiwegent-knowledge
Manage and search Wegent knowledge bases and documents using RAG retrieval.
wecode-aidingtalk-docs
Access DingTalk knowledge spaces, folders, and documents through the DingTalk document MCP.
wecode-aiprompt-optimization
Reviews and rewrites AI agent system prompts with user-approved change cards.
wecode-aidingtalk-ai-table
Read and manage DingTalk AI table records through the DingTalk AI Table MCP server.
wecode-aiconversation_to_prompt
Convert task conversations into reusable system prompt drafts with structured quality checks.
wecode-aiskill-creator
Create, evaluate, and iteratively improve Claude skills with benchmarks and description optimization.
wecode-aiinteractive
Present interactive form questions and choice options to users during task execution.
wecode-aisubscription-manager
Create and manage scheduled subscription tasks using cron expressions, intervals, or one-time triggers.
wecode-aiwiki_submit
Submits wiki documentation pages to the Wegent backend API via a Node.js CLI.
wecode-aiwegent-video-generation
Generates videos from text prompts with image, video, and audio reference materials via an MCP tool.
wecode-aiUI Links
Output Markdown links using attachment:// and wegent:// protocols for attachments and Wegent pages.
wecode-aimermaid-diagram
Validate Mermaid syntax and render diagrams from plain-language prompts.
wecode-aibrowser
Automate browser interactions and extract structured data via a CDP relay.
wecode-aisandbox
Run shell commands and manipulate files inside an isolated E2B sandbox.
Frequently Asked Questions About wecode-ai
FAQPage SchemaWhat specific tasks can be performed using these capabilities?▼
Users can perform structured data extraction from web pages, render validated Mermaid diagrams from text prompts, and execute shell commands or file manipulations within an isolated E2B environment. Additionally, the system supports custom Markdown link protocols for managing attachments and internal page references.
Which technical personas benefit most from these features?▼
Software engineers, data analysts, and technical architects benefit most from these features. These personas utilize the browser relay for data scraping, the diagramming functionality for documentation, and the isolated sandbox for testing code execution in a secure, ephemeral environment.
What are the prerequisites for running these operations?▼
Execution requires access to the E2B sandbox environment for shell operations and a configured CDP relay for browser-based data extraction. Users must also ensure their input prompts adhere to valid Mermaid syntax for diagram generation and utilize the correct attachment:// or wegent:// protocols for link formatting.