by swingerman · Claude Skill · ★ 97
Disciplined Agentic Engineering — methodology marketplace for Claude Code ℹ️ Repo renamed: this marketplace was previously . Existing URLs continue to work via GitHub's automatic redirect — no action needed unless you want to update local remotes (). A Claude Code marketplace hosting the Disciplined Agentic Engineering (DAE) methodology kit — skills, agents, hooks, and commands that keep software engineers in charge of architecture, behavior decisions, and verification while AI agents do the typing.
| Stars | 97 |
| Forks | 6 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 60.484/100 |
| Last Updated | 2026-05-22 |
| Created | 2026-02-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~32k |
These tools work well together with disciplined-agentic-engineering for enhanced workflows:
Explore other popular claude skill tools:
disciplined-agentic-engineering is Acceptance Test Driven Development for Claude Code — inspired by Uncle Bob's approach from empire-2025. It is categorized as a Claude Skill with 97 GitHub stars.
disciplined-agentic-engineering is primarily written in Python. It covers topics such as acceptance-testing, ai-development, atdd.
You can find installation instructions and usage details in the disciplined-agentic-engineering GitHub repository at github.com/swingerman/disciplined-agentic-engineering. The project has 97 stars and 6 forks, indicating an active community.
disciplined-agentic-engineering is released under the MIT license, making it free to use and modify according to the license terms.