lijigang/ljg-skills

ljg-skills is a custom skill collection for Codex, GitHub's AI agent framework.

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Summary Information

Updated 49 minutes ago
Added to GitGenius on September 1st, 2026
Created on March 8th, 2026
Open Issues & Pull Requests: 5 (+0)
GitHub issues: Enabled
Number of forks: 827
Total Stargazers: 7,313 (+1)
Total Subscribers: 63 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.5 days
Mean response time: 22.4 days
90th percentile: 67.6 days
Tracked items: 13

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 27% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 50 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

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

Top labels

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Most active issues this week

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Detailed Description

ljg-skills is a custom skill collection for Codex, GitHub's AI agent framework.

The project provides a set of skills that extend Codex functionality through the skills CLI tool. Skills can be installed globally or at the project level, with options to install specific skills or the entire collection. The repository uses org-mode format by default but offers a Markdown alternative via a separate branch. One skill, ljg-card, has an additional dependency on Playwright for screenshot functionality that requires separate setup after installation.

Developers should use this collection if they work with Codex and want to add custom capabilities to their agent setup. The project suits those comfortable with the skills CLI installation workflow and willing to manage dependencies like Playwright where needed. The tool supports flexible installation patterns, allowing users to cherry-pick individual skills or deploy the full set, and accommodates both global and project-scoped configurations.

Development activity on the project is minimal, with no recent commits or active maintenance signals visible in the repository.