by clarity-digital-development · Claude Skill · ★ 45
Structured Agentic Development A practical workflow for everyday developers using AI coding agents on one to three repositories. Not a fleet-orchestration system — a repeatable loop you can run on the project in front of you: Context → Plan → Implement → Review → QA → Ship → Retro What's in the box: 10 short docs — a principles intro, the loop phases, a model & effort guide, two cross-cutting guides (context hygiene, agent failure modes), and a prompting guide for Claude Fable 5. 6 copy-paste templates — context file (two flavors), plan document, review checklists, QA report, session handoff.
| Stars | 45 |
| Forks | 3 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 57.4270145703541/100 |
| Last Updated | 2026-07-01 |
| Created | 2026-06-12 |
| Platforms | claude-code, python |
| Est. Tokens | ~4k |
These tools work well together with tworkflow for enhanced workflows:
Explore other popular claude skill tools:
tworkflow is A practical, no-hype workflow for AI coding agents: context, plan, implement, review, QA, ship, retro. Templates, two Claude Code skills, and a 40% context rule - every claim traced to official docs.. It is categorized as a Claude Skill with 45 GitHub stars.
tworkflow is primarily written in Python. It covers topics such as agentic-workflow, ai-coding, claude-code.
You can find installation instructions and usage details in the tworkflow GitHub repository at github.com/clarity-digital-development/tworkflow. The project has 45 stars and 3 forks, indicating an active community.
tworkflow is released under the MIT license, making it free to use and modify according to the license terms.