mattpocock/skills

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

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Summary Information

Updated 19 minutes ago
Type:Curated List / Learning ResourceCategory(s):MCP Servers, Agent Skills & PromptsAI Coding AgentsAI Agents & LLM Apps
Added to GitGenius on April 12th, 2026
Created on February 3rd, 2026
Open Issues & Pull Requests: 163 (+1)
GitHub issues: Enabled
Number of forks: 23,743
Total Stargazers: 283,451 (+150)
Total Subscribers: 1,507 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 24.1 hours
Mean response time: 16.5 days
90th percentile: 60.7 days
Tracked items: 881

Maintainer activity

2 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 7, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

How this project is maintained

About 4% of issues opened in the past year have never received a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "enhancement" is answered fastest, typically in about 15 hours, while "ai-drafted-feedback" waits about 4 weeks. Almost all tracked open issues have seen activity in the last three months. 83% of issues opened in the past year have been closed, leaving a working backlog.

Charts & Analytics

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Issue Activity (beta)

Open issues: 148
New in 7 days: 43
Closed in 7 days: 436
Avg open age: 49 days
Stale 30+ days: 5
Stale 90+ days: 1

Recent activity

Opened in 7 days: 40
Closed in 7 days: 436
Comments in 7 days: 237
Events in 7 days: 627

Top labels

  • ai-drafted-feedback (140)
  • ready-for-human (103)
  • bug (87)
  • ready-for-agent (57)
  • enhancement (24)
  • needs-triage (17)
  • unsure (13)
  • wontfix (11)

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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.