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heavy-research

Coordinate parallel subagents for web, code, and memory research into deployment plans.

8|Updated Apr 21, 2026
Search Tags:#subagents#orchestration#memory#web-research#deployment-planning#heavy-research
One-click install
npx skills add https://github.com/kevinlasnh/sharing-studio --skill heavy-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: heavy-research
Source: https://github.com/kevinlasnh/sharing-studio/tree/main/projects/agent-workflows/skills/heavy-research
Command: npx skills add https://github.com/kevinlasnh/sharing-studio --skill heavy-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Heavy-research orchestrates multi-dimension information gathering (web, local code, memory) to produce a structured deployment plan, reducing manual research time and misalignment risks.

Core Features & Use Cases

  • Orchestrated multi-dimension research: coordinates web, local code, and memory subagents to gather diverse evidence.
  • Structured run tracking: preserves session state, supports resume and rerun after stage C, and generates deployment-ready artifacts.
  • Evidence-based deployment planning: synthesizes results into a deployment plan with explicit sources and risks.

Quick Start

Start a heavy-research session to collect findings and synthesize a deployment plan.

Frequently Asked Questions about heavy-research

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

FAQPage Schema
How do I automate deployment planning across multiple research dimensions?▼

Automated deployment planning coordinates parallel subagents to gather web, local code, and memory research, synthesizing the evidence into a deployable plan with explicit sources and risks.

What is the best way to orchestrate subagents for exhaustive web and local code research?▼

Orchestrating subagents for exhaustive research coordinates parallel execution across web, local code, and memory dimensions, applying structured run tracking to preserve session state and generate deployment-ready artifacts.

Can I resume a deployment research session after pausing or stopping?▼

Yes, structured run tracking preserves session state and supports resume and rerun after stage C, allowing you to continue a deployment research session without losing previous findings.

How does evidence-based synthesis work for complex deployment scenarios?▼

Evidence-based synthesis for deployment scenarios aggregates findings from multi-dimension research subagents, verifying requirements and constraints to deliver a deployable plan with explicit sources and identified risks.

Do I need any external dependencies to run orchestrated multi-dimension research?▼

No external dependencies are required to run orchestrated multi-dimension research, as the skill operates independently to coordinate subagents and synthesize deployment plans from gathered evidence.

When should I use parallel subagents instead of manual research for deployment?▼

Use parallel subagents for complex deployment scenarios where requirements, sources, and constraints must be verified across multiple dimensions, reducing manual research time and misalignment risks.

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