17th-task-architect

Orchestrate GPT-5.2 xhigh and GLM-4.7 to produce a finalized TASK.md.

Updated Jan 23, 2026
One-click install
npx skills add https://github.com/SeventeenthEarth/glm-worker-mcp --skill 17th-task-architect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 17th-task-architect
Source: https://github.com/SeventeenthEarth/glm-worker-mcp/tree/main/skills/17th-task-architect
Command: npx skills add https://github.com/SeventeenthEarth/glm-worker-mcp --skill 17th-task-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end TASK specification design by coordinating GPT-5.2 xhigh with GLM-4.7 to elicit requirements, run parallel research, and resolve ambiguities through interviews, ultimately producing a finalized TASK.md.

Core Features & Use Cases

  • End-to-end TASK design orchestration: elicitation, parallel research, synthesis, interviews, and final TASK.md.
  • Generates a concrete TASK.md with specific file paths, decisions, and a clear execution checklist.
  • Ideal for planning complex features, roadmaps, and implementation plans with reproducible documentation.

Quick Start

Use the Task Architect workflow to design a new TASK specification by coordinating GPT-5.2 xhigh and GLM-4.7, eliciting requirements, running parallel research, synthesizing results, and interviewing the user to produce a finalized TASK.md.

Frequently Asked Questions about 17th-task-architect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate project planning and generate a TASK.md specification?▼

To automate project planning, this Skill orchestrates AI agents to elicit requirements, run parallel research, and synthesize results into a finalized TASK.md with specific file paths and execution checklists.

What is workflow automation for design specs using multiple AI agents?▼

Workflow automation for design specs coordinates GPT-5.2 xhigh and GLM-4.7 to resolve ambiguities through an interview loop, producing reproducible documentation for complex features and implementation plans.

How do I orchestrate AI agents to create reproducible implementation plans?▼

You orchestrate AI agents by initiating the Task Architect workflow, which coordinates GPT-5.2 xhigh and GLM-4.7 to conduct interviews and finalize a concrete TASK.md execution checklist.

Can I use GPT-5.2 and GLM-4.7 together for complex feature roadmap design?▼

Yes, you can use GPT-5.2 xhigh and GLM-4.7 together to plan complex feature roadmaps, coordinating the models to elicit requirements and synthesize parallel research into a final TASK.md.

What is the best way to resolve requirement ambiguities during TASK.md generation?▼

The best way to resolve requirement ambiguities during TASK.md generation is using the integrated interview loop, which questions the user to clarify decisions before finalizing the design spec.