Surfaces advanced data structures, distributed-systems algorithms, niche frameworks, design patterns, and frontier tooling that go beyond the pragmatic answer. Each option is scored on a calibrated complexity scale with the concrete scenario in which it pays off.
A Claude skill that takes the current problem a step beyond its pragmatic answer. Invoke it with /overkill (or just say "overkill this") and Claude will surface advanced alternatives — data structures, distributed-systems algorithms, niche frameworks, design patterns, and frontier tooling — each rated on a calibrated complexity scale, with the concrete future-scale scenario in which it becomes the correct choice.
This skill is for explorers and engineers who already know the simple answer and want to map what lies past it: the techniques, trade-offs, and frontier ideas they would otherwise never encounter. It is not a default recommendation engine — the suggestions are deliberately maximalist, and the complexity score is the honest signal of cost.
Inside any Claude Code session:
/plugin marketplace add santiago-vargas-de-kruijf/claude-overkill
/plugin install overkill@overkill-marketplace
Personal (available in every project):
git clone <this-repo> /tmp/claude-overkill
cp -r /tmp/claude-overkill/plugins/overkill/skills/overkill ~/.claude/skills/
Project-local (shared with collaborators via git):
mkdir -p .claude/skills
cp -r path/to/this-repo/plugins/overkill/skills/overkill .claude/skills/
In any Claude Code conversation about a concrete problem:
overkill — propose advanced alternatives for the current discussionoverkill this / /overkill — same thingoverkill --max — restrict output to the highest-complexity options (🔥 7+)Claude will return ranked alternatives with complexity scores, a comparison table, and the concrete scale or condition under which each option starts to earn its cost.
claude-overkill/
├── .claude-plugin/
│ └── marketplace.json
├── plugins/
│ └── overkill/
│ ├── .claude-plugin/
│ │ └── plugin.json
│ └── skills/
│ └── overkill/
│ └── SKILL.md
└── README.md
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