launch-sub-agent

Overview of launch-sub-agent skill

The launch-sub-agent skill helps you dispatch a focused sub-agent for a specific task instead of overloading one chat thread. It is best for users building or operating multi-step workflows in the launch-sub-agent for Multi-Agent Systems pattern: coding, research, review, design, or validation tasks that benefit from isolated context and a deliberate model choice.

What launch-sub-agent does well

The core value of the launch-sub-agent skill is orchestration: it analyzes the task, chooses an appropriate model tier, optionally matches a specialized agent, and then launches the work with verification built in. That makes it more useful than a generic prompt when you want less context pollution and more disciplined output.

Who should install it

Install launch-sub-agent if you regularly split work into sub-tasks, supervise other agents, or need a repeatable way to route tasks by complexity. It is especially relevant for teams already using agentic workflows, where the real problem is not “can the model answer?” but “how do I route the task cleanly and verify the result?”

When it is a good fit

The launch-sub-agent skill is a good fit when the input can be framed as a bounded assignment: implement a feature, investigate an issue, compare options, write docs, or review code. It is less useful for vague brainstorming, highly interactive collaboration, or tasks that need the full conversation history to stay intact.

How to Use launch-sub-agent skill

Install and inspect the skill

Use the published skill install path from your skill manager, then open SKILL.md first. For this repository, there are no support folders to browse, so the main source of truth is the skill file itself. A practical launch-sub-agent install flow is: install, read SKILL.md, then adapt the command and argument pattern to your environment.

Turn a rough goal into a usable task

The skill works best when the task is specific enough to be delegated. Good inputs describe the target, expected output, constraints, and any relevant repo or environment details. For example, instead of “fix auth,” use: Implement password reset for the existing Express app, preserve current API shape, and output a patch summary to docs/reset-plan.md.

What to provide in the prompt

The launch-sub-agent usage pattern expects a task description and optional routing hints like --model, --agent, and --output. Use these only when they add clarity. If you already know the work is complex, choose a stronger model; if you know the sub-agent should be specialized, name it explicitly; if you need a deliverable saved somewhere, include the output path up front.

Read these files first

Start with SKILL.md because it defines the orchestration sequence, task analysis, and verification requirement. Then check any repo-level documentation that explains the surrounding agent system, especially if you are plugging launch-sub-agent into an existing multi-agent setup. If you are adapting the skill, pay attention to where your own toolchain handles model selection and agent naming.

launch-sub-agent skill FAQ

Is launch-sub-agent only for multi-agent systems?

It is most valuable in multi-agent systems, but you can still use it as a disciplined sub-task launcher in simpler setups. The main benefit is the same: the launch-sub-agent skill reduces context clutter by isolating one task in one focused execution path.

How is this different from a normal prompt?

A normal prompt asks for an answer. The launch-sub-agent skill is closer to a routing layer: it evaluates the task, selects the execution strategy, and includes a self-critique step so the result is more likely to be checked before it returns. That makes it more useful when quality depends on process, not just generation.

Is it beginner-friendly?

Yes, if you can describe a task clearly. You do not need to know every agentic concept to use launch-sub-agent, but you do need to state the job, boundaries, and desired output. The better your task framing, the better the delegation.

When should I not use it?

Do not use launch-sub-agent when the task is tiny, purely conversational, or heavily dependent on an ongoing back-and-forth with the same context. In those cases, a direct prompt is faster and less brittle than launching a sub-agent.

How to Improve launch-sub-agent skill

Write better task briefs

The strongest launch-sub-agent results come from briefs that include scope, constraints, and success criteria. For example: Review this checkout flow for accessibility issues, focus on keyboard navigation and error states, and return prioritized fixes with code pointers is more actionable than review this flow.

Match the model to the work

If you know the task is hard reasoning, cross-file analysis, or architecture-sensitive, bias toward a stronger model instead of leaving selection implicit. If the task is routine and narrow, keep the request simple so the skill can route it efficiently. Good launch-sub-agent usage is about right-sizing the agent, not always maximizing it.

Ask for verification-friendly outputs

Because the skill includes mandatory self-critique verification, ask for outputs that can be checked: diff summaries, assumptions, risks, edge cases, or test ideas. If you want the sub-agent to be useful on the first pass, require it to surface what it is uncertain about and what would need validation next.

Iterate after the first run

Use the first result to tighten the next prompt. If the sub-agent was too broad, narrow the task and add explicit boundaries. If it missed context, attach the relevant files or snippets. If it overfit the wrong agent, override the routing hint. The fastest way to improve launch-sub-agent skill results is to treat each run as a calibration pass, not a one-shot answer.