ascent-task-coordinator

Coordinates multiple AI agents and tracks progress to complete software tasks.

27|3|Updated Jan 4, 2026
One-click install
npx skills add https://github.com/JeremyKalmus/parade --skill ascent-task-coordinator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ascent-task-coordinator
Source: https://github.com/JeremyKalmus/parade/tree/main/ideas/claude-example/skills/asecnt-project-coordinator
Command: npx skills add https://github.com/JeremyKalmus/parade --skill ascent-task-coordinator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating Claude Code with multiple background agents to implement features without direct coding by the main engine.

Core Features & Use Cases

  • Multi-agent project coordination pattern with a structured task-list, progress tracking, and clearly defined agent roles.
  • Ideal for delegating work to specialized agents and coordinating parallel investigations and implementations.
  • Supports centralized verification and progress reporting to maintain visibility across features.

Quick Start

Activate the ascent-task-coordinator to initialize the coordinated workflow, load or generate a task-list.json, spawn agents with minimal context, monitor progress via progress-report.md, and verify outcomes using provided verification documents.

Frequently Asked Questions about ascent-task-coordinator

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

FAQPage Schema
How do I coordinate multiple Claude Code agents to implement a feature in parallel?

Multi-agent coordination with Claude Code uses a structured task-list and progress reporting to delegate parallel investigations and implementations to background agents under a single tracked plan.

What is agent orchestration for project management in Claude Code?

Agent orchestration is a coordination pattern that manages background agents through defined roles, task-list structures, and centralized verification to implement features without direct main engine coding.

How do I track progress when delegating tasks to background agents?

Progress tracking for background agents uses a progress-report.md file to monitor task-list execution, providing centralized visibility across parallel implementations and verification outcomes.

Can I use Claude Code for project management without writing code directly?

Yes, Claude Code supports feature implementation without direct coding by spawning specialized background agents, managing them through a task-list.json, and verifying their outputs with provided documents.

What's the best way to verify outcomes from parallel agent implementations?

Verifying parallel agent implementations requires centralized verification steps applied to the outputs of spawned agents, ensuring task completion is checked against the coordinated plan and progress-report.

Do I need a predefined task-list structure to orchestrate background agents?

No, you can generate a task-list.json dynamically or load an existing one to initialize the coordinated workflow, spawn agents with minimal context, and monitor their progress.