research-code

Synthesize prior libraries and task results into a structured research_code.md artifact.

16|8|Updated Apr 15, 2026

Search Tags:#automation #documentation #research #libraries #code-review #task-analysis

Ready to run

npx skills add https://github.com/GliteTech/glite-arf --skill research-code

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-code
Source: https://github.com/GliteTech/glite-arf/tree/main/arf/skills/research-code
Command: npx skills add https://github.com/GliteTech/glite-arf --skill research-code

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams quickly synthesize insights from libraries and prior tasks to guide implementation decisions and avoid reinventing the wheel.

Core Features & Use Cases

Library relevance evaluation: identify libraries and prior code that most closely relate to the current task.
Task lineage and dependency mapping: trace how previous tasks influence current work.
Generated research artifact: produce a structured research_code.md that documents findings, citations, and reuse plans.

Quick Start

Analyze libraries and prior tasks relevant to the current task and produce a structured research_code.md artifact.

Frequently Asked Questions about research-code

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

FAQPage Schema

How do I synthesize prior task results and library code to plan a new software implementation?▼

To synthesize prior task results and library code for implementation planning, you can automate the extraction of library metadata and task lineage to generate a structured research artifact. This formal workflow documents findings, citations, and reuse plans to guide robust code design.

What is library relevance evaluation and how does it support cross-task reuse?▼

Library relevance evaluation is the process of identifying libraries and prior code that most closely relate to a current task. It supports cross-task reuse by mapping task dependencies and lineage, ensuring teams avoid reinventing the wheel through evidence-backed design decisions.

How do I generate a structured research artifact for code review and task analysis?▼

You can generate a structured research artifact by analyzing libraries and prior tasks relevant to your current software project. The process produces a formal research_code.md document with strict frontmatter, sections, citations, and verifications to inform implementation planning.

Can I trace task lineage and dependency mapping across multiple software tasks?▼

Yes, you can trace how previous tasks influence current work through automated task lineage and dependency mapping. This feature evaluates cross-task reuse and library metadata to build evidence-backed design decisions across multiple software tasks.

Does this research synthesis approach require external dependencies for code analysis?▼

No, this research synthesis approach operates with zero external dependencies. It automates structured analysis, library metadata extraction, and code references natively to produce formal research artifacts for software projects requiring cross-task reuse.

When should I avoid automating library evaluation and prior task synthesis?▼

You should avoid automating library evaluation and prior task synthesis for software projects that lack prior task history or existing library code. The process requires established task lineage and dependencies to generate meaningful research artifacts and evidence-backed design decisions.