delegate-first

Route multi-step development tasks to specialized subagents with verification gates.

1|Updated Jul 20, 2026
One-click install
npx skills add https://github.com/pessinamistic/pitwall --skill delegate-first-pessinamistic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: delegate-first
Source: https://github.com/pessinamistic/pitwall/tree/main/.claude/skills/delegate-first
Command: npx skills add https://github.com/pessinamistic/pitwall --skill delegate-first-pessinamistic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the issue of inefficient, uncoordinated AI task execution by enforcing a structured delegation hierarchy that prevents inline implementation and ensures high-quality, verified outputs.

Core Features & Use Cases

  • Orchestrated Delegation: Automatically routes tasks to specialized subagents (tech-lead, senior-dev, implementer, etc.) based on complexity.
  • Cost-Optimized Routing: Matches task requirements to the cheapest capable model tier to minimize token spend.
  • Verification Enforcement: Mandates that no task is marked complete without a successful run of the project's verification commands.
  • Use Case: When starting a complex feature development, use this skill to have the tech-lead decompose the work into sub-tasks, assign them to the appropriate workers, and verify the final integration.

Quick Start

Load the delegate-first skill at the start of your session to transition into an orchestrator role and begin delegating tasks to the subagent roster.

Frequently Asked Questions about delegate-first

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

FAQPage Schema
How do I orchestrate multi-step software development tasks with AI agents?

To orchestrate multi-step software development tasks, you can enforce a hierarchical delegation policy that routes work to specialized subagents based on complexity. This manages task decomposition and model tiering to ensure project consistency and cost efficiency.

What is the best way to prevent inline implementation during complex AI feature development?

The best way to prevent uncoordinated AI execution is to enforce a structured delegation hierarchy. By routing tasks through a tech-lead subagent that decomposes work and assigns it to specialized workers, you ensure high-quality, verified outputs without inline implementation.

How does model tiering work when routing tasks to subagents?

Model tiering matches task requirements to the cheapest capable model tier to minimize token spend. This cost-optimized routing automatically directs complex architectural decisions to higher-tier models and routine implementation to cheaper, capable models.

Can I mandate verification checks before an AI agent marks a coding task complete?

Yes, you can enforce verification gatekeeping that mandates no task is marked complete without a successful run of the project's defined verification commands. This ensures high-quality outputs and integration consistency before finalizing work.

Do I need a predefined subagent roster to use automated task delegation?

Yes, automated task delegation requires integration with the project's standard subagent roster and defined verification commands. You need specialized subagents like tech-lead, senior-dev, and implementer configured to route work appropriately.

When should I avoid using hierarchical delegation for AI workflow automation?

You should avoid hierarchical delegation for simple, single-step tasks that do not require decomposition or verification gatekeeping. Its structured routing and model tiering overhead are designed for complex, multi-step software development workflows.