orchestra-research/ai-research-skills

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be...

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Summary Information

Updated 6 minutes ago
Added to GitGenius on September 1st, 2026
Created on November 3rd, 2025
Open Issues & Pull Requests: 21 (+0)
GitHub issues: Enabled
Number of forks: 897
Total Stargazers: 12,407 (+0)
Total Subscribers: 60 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.9 days
Mean response time: 19.5 days
90th percentile: 78.0 days
Tracked items: 29

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 17% of issues opened in the past year have been closed. Three people close 92% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 12
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 80 days
Stale 30+ days: 8
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (3)
  • bug (1)
  • documentation (1)
  • duplicate (1)
  • good first issue (1)
  • help wanted (1)

Most active issues this week

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Detailed Description

AI Research Skills is a library of skills designed to augment AI agents with AI research and engineering capabilities.

The library addresses the problem of AI agents lacking specialized knowledge in AI research methodologies and engineering practices. It packages a collection of skills that can be integrated with AI models like Claude, Codex, or Gemini to enable them to perform research-oriented tasks with greater depth and capability. The approach works by bundling domain-specific skills that agents can draw upon when working on AI research problems.

Developers considering this library should evaluate it for projects where AI agents need to engage in research tasks, literature review, experimental design, or engineering work within the AI domain. It is most relevant for teams building AI research agents or augmenting existing agent systems with specialized research capabilities. The library is language-agnostic in terms of which AI models it targets, supporting multiple popular platforms.

The project is maintained by Orchestra Research and remains actively available as an open-source resource for the AI research community.