Quantified Claude — Development skill for Claude Code
Counts which Claude Code skills you actually reach for, plus the agents, models, and tokens behind them—read from the transcripts already on your disk.
How to install Quantified Claude
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open kendrick/quantified-claude and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Quantified Claude does
Counts which Claude Code skills you actually reach for, plus the agents, models, and tokens behind them—read from the transcripts already on your disk.
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README
quantified-claude
Which Claude Code skills do you actually use? Not which ones you installed—which ones you _reach for_.
`quantified-claude` answers that, along with three more questions like it: which subagents you spawn, which models run where, and what all of it costs in tokens. Every number comes from the session transcripts already sitting on your disk, so there's nothing to instrument and nothing to wait for.
It reads those transcripts and writes two Markdown files. One is a Map of Content (MOC) of your skills, sorted by how often you've used them. The other is a usage report covering models, agents, and token spend. Drop them in an Obsidian vault or read them in any Markdown viewer.
Skills were the first thing it measured; agents, models, and tokens came next. The name is deliberately broad, so other facets can slot in later.
- What You Get
- How It Works
- Setup
- Everyday Use
- Keeping It Current
- A Note on Transcript Retention
- Privacy
- Development
- Contributing
- License
- Design
What You Get
Two files, regenerated side by side every time you render. Counts below are real, from one machine.
The Skills MOC
`~/.claude/skills/skill-usage-moc.md`, a map of every skill you own crossed with how much you use it.
## Used & Owned
| Skill | Uses | Tool | Slash | Tokens | Last used | Description |
|--------------------|-----:|-----:|------:|-------:|------------|----------------------------------|
| humanizer | 887 | 886 | 1 | 2.1B | 2026-09-15 | Rewrite AI-sounding text… |
| technical-writing | 326 | 326 | 0 | 198M | 2026-09-15 | Layered prose standard… |
| handoff | 230 | 8 | 222 | 224M | 2026-09-15 | Save a session handoff… |
## Owned but Never Use
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