mattpocock/skills

Skills for Real Engineers. Straight from my .agents directory.

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Summary Information

Updated 15 minutes ago
Added to GitGenius on April 12th, 2026
Created on February 3rd, 2026
Open Issues & Pull Requests: 402 (+0)
Number of forks: 20,180
Total Stargazers: 237,115 (+0)
Total Subscribers: 1,324 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.3 hours
Mean response time: 3.5 days
90th percentile: 11.3 days
Tracked items: 538

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Almost all tracked open issues have seen activity in the last three months. Only 10% of issues opened in the past year have been closed. Three people close 81% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 392
New in 7 days: 45
Closed in 7 days: 14
Avg open age: 12 days
Stale 30+ days: 191
Stale 90+ days: 1

Recent activity

Opened in 7 days: 36
Closed in 7 days: 10
Comments in 7 days: 44
Events in 7 days: 90

Top labels

  • enhancement (17)
  • wontfix (11)
  • ready-for-human (5)
  • needs-info (3)
  • needs-triage (3)
  • duplicate (2)
  • ready-for-agent (2)
  • documentation (1)

Detailed Description

Skills is a collection of agent skills designed to augment AI coding assistants with practical engineering workflows.

The project addresses the problem that AI coding agents often fail to deliver what engineers actually need, either by taking away control over the development process or by making it difficult to debug when things go wrong. Skills solves this by providing small, composable, adaptable workflows that work with any AI model and are grounded in decades of engineering experience. Rather than owning the entire development process, these skills focus on specific tasks that engineers can customize and combine as needed.

Engineers should choose this tool if they use Claude Code, Codex, or similar AI coding assistants and want to improve how those agents handle real-world development tasks. The project suits teams that value control and transparency over fully automated processes. Installation offers two philosophies: a managed Claude Code plugin that updates automatically, or an editable local installation via skills.sh that lets you fork and modify the skills for your own workflow. The setup process is minimal, requiring only a one-time configuration to specify your issue tracker and documentation preferences.

The project maintains a substantial base of adopters who report real-world use, as evidenced by the fact that almost all open issues come from outside users rather than the core team. Maintainers typically respond to new issues and pull requests within a day. Work in the issue tracker centers on enhancement requests and items labeled as ready for human or agent review.