What is the primary function of the research skill?

It automates the process of gathering external knowledge, refining project objectives, and conducting feasibility analyses to support all phases of the software development lifecycle.

Can I use this skill manually?

Yes, you can trigger it manually using keywords like 'research this' or 'feasibility analysis' to investigate specific topics or deepen a task's objective.

How does it integrate with other task-ai skills?

It acts as an intelligence provider for skills like 'plan' and 'verify', automatically triggering when those phases detect a lack of necessary technical information.

How does it avoid redundant data collection?

The skill employs a 'library-first' approach, searching existing local documentation and previous research results before initiating new external searches.

What is the O1→O2→O3 refinement process?

It is an autonomous three-stage pass that moves from background research to feasibility analysis and finally to a synthesized, refined objective in a single execution.

AI Research & Domain Discovery

Name: AI Research & Domain Discovery
Author: huacheng

byhuacheng

•

Productivity & Workflow

Investigates technical requirements and domain knowledge to provide deep insights and feasibility analysis for software development tasks.

The Research skill acts as the intelligence core of the task-ai lifecycle, autonomously refining project objectives and collecting essential domain knowledge. By performing a library-first search to avoid redundant work, it identifies information gaps, conducts deep feasibility studies, and organizes findings into structured reference files. Whether used to clarify vague requirements or to explore unfamiliar APIs during execution, this skill ensures that every development phase is backed by verified technical intelligence and state-of-the-art best practices.

Key Features

01Seamless integration across planning, execution, and verification phases

02Automated feasibility analysis and technical requirement synthesis

031 GitHub stars

04Library-first search strategy to prevent redundant data collection

05Autonomous multi-stage objective refinement (O1→O2→O3) in a single pass

06Structured reference management with incremental 'gap' research mode

Use Cases

01Conducting deep feasibility studies before starting a complex technical implementation

02Identifying and filling technical knowledge gaps when encountering unfamiliar APIs during coding

03Refining vague user prompts into structured, actionable project objectives and requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add huacheng/moonview research

For use in Claude.ai and ChatGPT

Download Skill