multi-agent-mode

Delegates independent work slices to helper agents while the lead agent executes and integrates.

14|1|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/allemaar/open-skills --skill multi-agent-mode-allemaar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-agent-mode
Source: https://github.com/allemaar/open-skills/tree/main/skills/multi-agent-mode
Command: npx skills add https://github.com/allemaar/open-skills --skill multi-agent-mode-allemaar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Complex coding tasks often contain independent slices that a single agent handles serially, wasting time and context. This Skill activates a session mode where the lead agent keeps working directly but delegates bounded, independent slices to helper agents in parallel, with explicit ownership and verification rules. ## Core Features & Use Cases - Assisted delegation mode: The lead agent decomposes work locally, delegates only independent slices with clear acceptance criteria, and owns final integration and verification. - Strict guardrails: Maximum 3 helpers without confirmation, no recursive subagents, disjoint file ownership, and mandatory inspection of helper outputs before integration. - Workspace safety: Requires resolving whether helpers share the lead's filesystem, and serializes or isolates code changes to prevent collisions on branches, staging, or generated files. - Use Case: While fixing a failing test suite, the lead agent investigates the shared root cause directly and delegates two unrelated failing test files to helper agents, then reviews their diffs before merging. ## Quick Start Tell the agent to activate multi-agent mode and use helper agents to parallelize the independent parts of your current task.

Frequently Asked Questions about multi-agent-mode

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

FAQPage Schema
How do I use multiple AI agents in parallel on one coding task?

Activate multi-agent mode so the lead agent decomposes the task, delegates independent slices to helper agents with self-contained briefs, and continues working directly. The lead inspects all helper outputs and owns final integration and verification.

When should I delegate work to helper agents versus doing it directly?

Delegate when a slice is independent and materially useful, such as unrelated test failures or disjoint file implementations. Avoid delegation when the task is small, shares a root cause, needs one global design decision, or the brief would be longer than the task itself.

What is the difference between multi-agent mode and orchestrate mode?

In multi-agent mode the lead agent still executes work directly while delegating helper slices. In orchestrate mode the lead becomes dispatch-only and must not execute concrete work, coordinating helpers instead.

Can helper agents edit the same files or spawn their own subagents?

No. Helper ownership must be disjoint, recursion beyond depth 1 is forbidden, and no more than 3 helpers may run without explicit user confirmation. Shared-filesystem work requires disjoint paths or serialization of shared mutations like commits and staging.

What are the limitations of parallel agent delegation?

Delegation adds overhead that can exceed its benefit on small or tightly coupled tasks. It also requires resolving workspace isolation first, since branch switches, staging, and generated files are shared mutations even when source files differ.