Individual skill
django-spike-despike-workflow
Manage Django spikes and de-spiking with tests: branch experiments, exploratory code, learning capture, functional tests against spiked behavior, revert-and-rebuild, custom auth flows, email/token models, and dependency seams. Use when a Django feature was prototyped quickly and needs to be turned into production-quality tested code.
plugins/LVTD-LLC/skills/skills/django-spike-despike-workflow/SKILL.md
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# Django Spike De-Spike Workflow
Use this skill when exploratory Django code has answered a question but is not yet fit to keep. Preserve the learning, throw away accidental design, and rebuild the feature with tests that express the real behavior.
## Source Traceability
Primary source: Harry Percival, *Test-Driven Development with Python*, 3rd ed. Guidance is transformed and paraphrased from chapters 19 and 20, especially passwordless authentication, branch-based spikes, de-spiking, custom user/token models, email flow tests, and introducing mocks only at external boundaries.
## Workflow
1. Label the spike.
- Identify what question it answered.
- Separate facts learned from code to keep.
- Save notes, screenshots, shell commands, or minimal examples if they matter.