meta-research

Orchestrate an end-to-end research pipeline from planning to countered synthesis.

1|1|Updated Mar 9, 2026

Search Tags:#planning #research #synthesis #project context #subagent #opus

Ready to run

npx skills add https://github.com/trevorbyrum/claude-skills-suite --skill meta-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-research
Source: https://github.com/trevorbyrum/claude-skills-suite/tree/main/skills/meta-research
Command: npx skills add https://github.com/trevorbyrum/claude-skills-suite --skill meta-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the entire research process for a project, from initial planning and topic identification to in-depth information gathering and synthesis, ensuring evidence-backed conclusions.

Core Features & Use Cases

Automated Research Planning: Analyzes project context to identify, categorize, and prioritize research topics.
Subagent Orchestration: Dispatches specialized subagents (like Opus) to execute research tasks efficiently.
Countered Synthesis: Gathers information from multiple sources and presents a synthesized output, highlighting gaps and counter-arguments.
Use Case: Kick off a new project by having this Skill research market trends, competitor analysis, and technical feasibility, providing a comprehensive overview to guide development.

Quick Start

Run the meta research skill to research this project.

Frequently Asked Questions about meta-research

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

FAQPage Schema

How do I automate an end-to-end research pipeline for project context?▼

Automating an end-to-end research pipeline involves analyzing project context to identify topics, dispatching subagents for information gathering, and synthesizing countered, evidence-backed results. This Skill orchestrates that entire workflow automatically.

What is the best way to synthesize research with counter-arguments and source counts?▼

Synthesizing research with counter-arguments requires gathering information from multiple sources and presenting an aggregated output. This pipeline handles that by dispatching subagents and highlighting gaps and counter-arguments in the final synthesis.

How does subagent orchestration work for gathering project research?▼

Subagent orchestration for project research works by dispatching specialized subagents, like Opus, to execute targeted information gathering tasks efficiently. The pipeline coordinates these subagents based on identified and prioritized research topics.

Can I use existing code and prior research inputs to plan new research topics?▼

Yes, you can use existing code and prior research inputs. The research planning phase analyzes project context, including existing code and prior research, to identify, categorize, and prioritize new research topics.

Does the automated research pipeline require manual intervention during synthesis?▼

The automated research pipeline requires minimal manual intervention during synthesis. It automatically gathers information from multiple sources, counts them, and presents a countered synthesis without needing manual aggregation.

When do I need an automated research pipeline with countered synthesis?▼

You need an automated research pipeline with countered synthesis when starting new projects requiring comprehensive overviews. It is ideal for researching market trends, competitor analysis, and technical feasibility to guide development.