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inno-code-survey

Automate repository acquisition and code survey across multiple repositories.

Updated Apr 1, 2026
Search Tags:#automation#github#code-analysis#repo-acquisition#code-survey#inno-code-survey#implementation-report
One-click install
npx skills add https://github.com/xiaoyu-ops/the_work_of_dedup --skill inno-code-survey-xiaoyu-ops
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inno-code-survey
Source: https://github.com/xiaoyu-ops/the_work_of_dedup/tree/main/.claude/skills/inno-code-survey
Command: npx skills add https://github.com/xiaoyu-ops/the_work_of_dedup --skill inno-code-survey-xiaoyu-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Acquires missing code repositories for the selected idea (Phase A) and conducts comprehensive code survey mapping academic concepts to implementations (Phase B).

Core Features & Use Cases

  • End-to-end Phase A: automated GitHub repository discovery, selection, and cloning for missing components.
  • Phase B: comprehensive code survey across acquired repos to map concepts to implementations and generate an implementation report.
  • Outputs include acquired_code_repos, updated_prepare_res, and model_survey for downstream evaluation and integration.

Quick Start

Provide the finalized idea and download results to trigger Phase A and Phase B and produce the final reports.

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 GitHub repo discovery and cloning for missing code components?▼

Automated GitHub repo discovery and cloning is handled by Phase A, which discovers, selects, and clones missing repositories for your selected idea to prepare for a code survey.

How does code survey mapping work for academic concepts?▼

Code survey mapping works by inspecting READMEs and repository contents across multiple cloned repos to map academic concepts to concrete code implementations and compile a comprehensive implementation report.

What is the best way to map academic concepts to concrete code implementations across multiple repositories?▼

The best way to map academic concepts to implementations is using an automated two-phase workflow that acquires missing repos, inspects them, and outputs a model survey with updated preparation results.

Do I need the requests library to run the automated repo acquisition and code survey workflow?▼

Yes, you need the requests library installed, as it is a required dependency for executing the automated GitHub repository discovery, cloning, and code survey mapping tasks.

Can I generate an implementation report across multiple GitHub repositories automatically?▼

Yes, you can generate an implementation report automatically by providing a finalized idea to trigger the workflow, which produces acquired code repos, updated preparation results, and a model survey.

What outputs should I expect from an automated code survey of acquired repositories?▼

You should expect three main outputs from an automated code survey: acquired code repos, updated preparation results, and a model survey for downstream evaluation and integration.

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