implement-agents

Orchestrate multiple agents to run /implement in parallel and collect progress reports.

Updated Jan 27, 2026
One-click install
npx skills add https://github.com/ianphil/prism --skill implement-agents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implement-agents
Source: https://github.com/ianphil/prism/tree/main/.claude/skills/implement-agents
Command: npx skills add https://github.com/ianphil/prism --skill implement-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables orchestrating multiple agents to run /implement in parallel, reducing wait times and coordinating complex multi-task deployments.

Core Features & Use Cases

  • Parallel task execution: launch multiple agents simultaneously to cover different phases or task ranges.
  • Progress monitoring: collect and summarize results from all agents.
  • Conflict handling: detect overlaps and resolve or warn when necessary.

Quick Start

Use the implement-agents skill to run Phase 3 and Phase 5 in parallel. Example: /implement-agents "Phase 3" "Phase 5".

Frequently Asked Questions about implement-agents

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

FAQPage Schema
How do I run multiple agent implementations in parallel?

You can run multiple agent implementations in parallel by spawning background tasks for different phases or task ranges, allowing them to execute concurrently while monitoring progress and collecting unified reports.

What is parallel agent orchestration for task management?

Parallel agent orchestration is the process of launching multiple agents simultaneously to cover different task ranges or phases, collecting their results into a unified progress report while handling potential conflicts.

Can I execute different project phases concurrently using agent orchestration?

Yes, you can execute different project phases concurrently by spawning background tasks for each phase window, such as running Phase 3 and Phase 5 in parallel, and then aggregating the progress reports.

Do I need background task support to run parallel agents?

Yes, running parallel agents requires an environment that supports spawning background tasks, monitoring progress across agents, and handling errors that may occur during concurrent execution.

How does conflict handling work when running parallel agent implementations?

Conflict handling in parallel agent implementations detects overlaps between concurrently running tasks, resolving them automatically or issuing warnings to prevent collisions in the unified progress report.

What are the limitations of parallel task execution with multiple agents?

Parallel task execution with multiple agents is limited by your environment's ability to spawn background tasks and monitor progress, and may encounter conflicts if overlapping task ranges are executed concurrently without proper detection.