Claude Skill

text-stats

Compute word count, character count, or reading time for a piece of text using the in-bundle text-stats engine. Invoke whenever the user asks how long a passage is, how many words or characters it has, or how long it takes to read.

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curie-eng/curie 35 3 forks Apache-2.0 Updated 7d ago

Part of curie-eng/curie — 4 skills

Install

skills CLI npx skills add https://github.com/curie-eng/curie/tree/main/examples/text-stats-engine/skills/text-stats

Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install curie-eng-curie@llmmart

Git git clone https://github.com/curie-eng/curie.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole curie-eng/curie collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Text statistics

When to run

The user asks how many words or characters a passage has, or how long it takes to read.

How to answer

Take the text the user provided (or asks about).
Call the in-bundle engine's tool for the metric requested:
- word_count for a word total.
- char_count for a character total (pass include_whitespace: false to exclude spaces).
- reading_time_minutes for an estimated read time at 200 wpm.
Report the number plainly, naming the metric and the text it applies to.

Notes

The engine runs as an in-bundle stdio MCP server (scripts/engine_server.py, declared in .mcp.json). The harness spawns it as a subprocess; there is no network service and nothing to provision. See this bundle's README for when to prefer this shape over a CLI subprocess.

Files (curie)

SKILL.md 1.1 KB

---
name: text-stats
description: Compute word count, character count, or reading time for a piece of text using the in-bundle text-stats engine. Invoke whenever the user asks how long a passage is, how many words or characters it has, or how long it takes to read.
allowed-tools:
  - text-stats-engine
---

# Text statistics

## When to run
The user asks how many words or characters a passage has, or how long it takes
to read.

## How to answer
1. Take the text the user provided (or asks about).
2. Call the in-bundle engine's tool for the metric requested:
   - `word_count` for a word total.
   - `char_count` for a character total (pass `include_whitespace: false` to
     exclude spaces).
   - `reading_time_minutes` for an estimated read time at 200 wpm.
3. Report the number plainly, naming the metric and the text it applies to.

## Notes
The engine runs as an in-bundle stdio MCP server (`scripts/engine_server.py`,
declared in `.mcp.json`). The harness spawns it as a subprocess; there is no
network service and nothing to provision. See this bundle's README for when to
prefer this shape over a CLI subprocess.