Spec-driven autonomous engineering workflow for AI coding agents: recon → plan → build → validate → ship — with TDD,...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Fastest way to find out if sample-specship belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/aws-samples/sample-specship ~/.claude/skills/sample-specshipRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/sample-specshipNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ sample-specship/ ← installs here ├─ agents/ └─ settings.json
Spec-driven autonomous engineering workflow for AI coding agents: recon → plan → build → validate → ship — with TDD, adversarial validation, and anti-slop quality gates. Packaged as a Kiro Power.
Source: GitHub repository
Source check: October 15, 2026
Upstream commit: September 16, 2026
Repository state: Not marked archived
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