research-and-go

Decompose broad goals into sub-plans and execute them sequentially.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/zillabunny/GoblinVolleyball-1.1 --skill research-and-go-zillabunny
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-and-go
Source: https://github.com/zillabunny/GoblinVolleyball-1.1/tree/main/.claude/skills/research-and-go
Command: npx skills add https://github.com/zillabunny/GoblinVolleyball-1.1 --skill research-and-go-zillabunny

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end autonomous goal planning and execution, enabling teams to turn broad objectives into concrete, executable plans without manual handoffs.

Core Features & Use Cases

  • Decomposes broad goals into focused sub-plans and drafts each with adversarial review to improve robustness.
  • Generates a meta-plan and executes all phases sequentially, with automated verification and reporting.
  • Use Case: For complex product development, define a high-level goal and let the system plan, draft, and run the work without intermediate approvals.

Quick Start

Invoke /research-and-go <description> to have Claude decompose your goal, draft sub-plans with adversarial review, and execute them end-to-end.

Frequently Asked Questions about research-and-go

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

FAQPage Schema
How do I automate end-to-end autonomous planning for complex project goals?

End-to-end autonomous planning is automated by decomposing a broad objective into focused sub-plans, drafting each with adversarial review, and executing all phases sequentially without manual handoffs or intermediate user approvals.

What is adversarial plan drafting and how does it improve goal decomposition?

Adversarial plan drafting is a mechanism that reviews decomposed sub-plans to improve their robustness. It critically evaluates each drafted phase during goal decomposition, ensuring the final meta-plan can withstand edge cases before sequential execution begins.

Can I execute complex product development tasks without intermediate user approvals?

Yes, you can execute complex product development tasks without intermediate approvals by generating a meta-plan from decomposed sub-plans and running all phases sequentially. The system automates verification and reporting, requiring no user confirmation during end-to-end execution.

What's the best way to turn broad objectives into executable sub-plans automatically?

The best way to turn broad objectives into executable sub-plans is using an autonomous planning system that applies goal decomposition and adversarial review. It drafts focused sub-plans, generates a meta-plan, and handles sequential execution end-to-end.

Does autonomous goal execution require manual verification between sub-plan phases?

Autonomous goal execution does not require manual verification between phases. Once the meta-plan is generated from adversarially reviewed sub-plans, the system executes all phases sequentially with automated verification and produces a post-run report.

When do I need automated meta-plan generation for complex project workflows?

You need automated meta-plan generation when complex project workflows require decomposing broad goals into multiple sub-plans and executing them sequentially end-to-end. It eliminates manual handoffs by orchestrating autonomous planning, drafting, and execution without intermediate approvals.