by agodianel · Claude Skill · ★ 29
Deterministic AI workflow for ESP32 firmware development — structured missions, implementation contracts, debug playbooks, testing-first approach, and Claude Code skills for safe, repeatable embedded engineering.
| Stars | 29 |
| Forks | 4 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 32.2/100 |
| Last Updated | 2026-03-31 |
| Created | 2026-03-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~84k |
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esp32-claude-workbench is Deterministic AI workflow for ESP32 firmware development — structured missions, implementation contracts, debug playbooks, testing-first approach, and Claude Code skills for safe, repeatable embedded . It is categorized as a Claude Skill with 29 GitHub stars.
esp32-claude-workbench is primarily written in Python.
You can find installation instructions and usage details in the esp32-claude-workbench GitHub repository at github.com/agodianel/esp32-claude-workbench. The project has 29 stars and 4 forks, indicating an active community.
esp32-claude-workbench is released under the MIT license, making it free to use and modify according to the license terms.