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inno-code-survey

Acquire missing code repositories and map academic concepts to implementations.

1.0k|117|Updated Feb 26, 2026
Search Tags:#research-automation#repo-acquisition#code-survey#idea-mapping#github-clone#implementation-survey
One-click install
npx skills add https://github.com/OpenLAIR/dr-claw --skill inno-code-survey
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inno-code-survey
Source: https://github.com/OpenLAIR/dr-claw/tree/main/skills/inno-code-survey
Command: npx skills add https://github.com/OpenLAIR/dr-claw --skill inno-code-survey

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the end-to-end process of identifying missing code repositories for a chosen idea and mapping academic concepts to concrete code implementations, enabling rapid, reproducible implementation planning.

Core Features & Use Cases

  • Phase A: repository acquisition to fill gaps for novel or specialized components.
  • Phase B: comprehensive code survey mapping academic concepts to implementations across cloned repos.
  • Outputs: acquired_code_repos, updated_prepare_res, and model_survey for downstream use by inno-implementation-plan.
  • Use cases: Research ideation to deployment; methodology benchmarking; and implementation planning.

Quick Start

Provide the refined idea, run the two-phase workflow, and retrieve the acquired repositories and the complete code-survey report.

Frequently Asked Questions about inno-code-survey

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

FAQPage Schema
How do I automate finding and cloning GitHub repositories for a research idea?▼

To automate finding and cloning GitHub repositories for a research idea, this Skill executes Phase A repository acquisition, identifying gaps and sourcing external GitHub repos automatically to fill missing components for your project.

What is a structured code survey for mapping academic concepts to implementations?▼

A structured code survey maps academic concepts to concrete implementations across cloned repositories. It analyzes acquired code to generate a comprehensive implementation report, clarifying how theoretical methodologies translate into functioning software components.

How do I map academic research concepts to concrete code implementations?▼

You map academic research concepts to concrete code implementations using the Phase B code survey, which analyzes cloned repositories and produces a comprehensive report detailing how methodologies are implemented in practice.

Do I need any specific dependencies to run the automated code survey workflow?▼

Yes, you only need the requests library installed as a dependency. The workflow runs within your Python environment to clone repositories and generate the structured implementation survey.

What outputs does the code survey generate for downstream implementation planning?▼

The code survey generates three key outputs: acquired_code_repos containing the cloned repositories, updated_prepare_res for preparation data, and model_survey for the comprehensive implementation report ready for downstream integration.

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