research

Collect and organize external domain knowledge into shared memory references.

1|Updated Feb 10, 2026

Search Tags:#automation #planning #documentation #research #verification #lifecycle #references

Ready to run

npx skills add https://github.com/huacheng/moonview --skill research-huacheng

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/huacheng/moonview/tree/main/plugins/task-ai/skills/research
Command: npx skills add https://github.com/huacheng/moonview --skill research-huacheng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a structured approach to gather, organize, and reuse domain knowledge across task lifecycles, reducing planning uncertainty and enabling faster decision-making.

Core Features & Use Cases

Automated target deepening (O1–O3) for objective refinement and readiness checks.
Reference collection and organization into shared memory directories for cross-task reuse.
Lifecycle-phase integration: plan, test, verify, and exec with context-aware guidance and gating.
Standalone usage for manual research when needed.

Quick Start

Run the /task-ai:research <notebook> to begin automated reference collection and target deepening.

Frequently Asked Questions about research

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

FAQPage Schema

How do I collect and organize external domain knowledge for task lifecycles?▼

Domain knowledge collection gathers external insights into shared memory and references directories to support lifecycle phases from planning to execution. It extracts keywords and drafts references automatically.

What is automated objective refinement for research planning?▼

Automated objective refinement deepens task targets through readiness checks across phases O1 to O3. It produces structured .target.md insights to reduce planning uncertainty and enable faster decision-making.

How do I integrate reference indexing with task-ai workflow phases?▼

Reference indexing integrates with the task-ai workflow by gating guidance across plan, test, verify, and exec phases. It automatically updates type profiles and indexes for cross-task reuse.

Can I use this research automation tool for standalone manual documentation?▼

Yes, standalone usage supports manual research and documentation when needed. You can run the research notebook to begin automated reference collection and target deepening independently.

What is the best way to structure references for cross-task reuse?▼

Structuring references for cross-task reuse involves organizing collected domain knowledge into shared memory directories. This enables lifecycle-phase integration with context-aware guidance and automatic type profile updates.

Does lifecycle research support verification and testing phases?▼

Lifecycle research supports verification and testing phases through context-aware guidance and gating. It operates across multiple phases including plan, test, verify, and exec to produce structured reference entries.