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laconic

Fewer words, sharper thought. Think twice, write once. Say only what silence cannot carry. The rest, the reader already knows.

npx claudepluginhub gabrielbarberini/laconic

README

View full README on GitHub

1 Plugin

laconic

14·

Brief prose. Short common words. Trust context. State what matters. Omit what reader can infer.

v1.2.0

gabrielbarberini

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Ultra-compressed communication mode for Claude Code. Cuts ~75% of tokens while keeping full technical accuracy.

Stats

Plugins1

Stars14

UpdatedApr 8, 2026

Links

View on GitHub View Marketplace JSON

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laconic

Philip II: "If I bring my army into your land, I will destroy your farms, slay your people, and raze your city."
Sparta: "If."

Install • Benchmarks • Examples • Caveman vs Laconic • Why

A Claude Code skill that cuts ~75% of tokens — short words, trusted context, implication over explanation.

Inspired by caveman. Same compression, different style.

Say the minimum. Trust context. Every word earns its place.

Benchmarks

Real token counts from Claude Sonnet 4 via Langdock API. Each prompt sent with a generic system prompt ("You are a helpful assistant") vs the full laconic SKILL.md. Median of 3 trials per mode.

Task	Normal (tokens)	Laconic (tokens)	Saved	vs Caveman
Explain React re-render bug	941	106	89%	+2pp
Fix auth middleware token expiry	1100	83	92%	+9pp
Set up PostgreSQL connection pool	2104	361	83%	−1pp
Explain git rebase vs merge	1004	347	65%	+7pp
Refactor callback to async/await	461	141	69%	+47pp
Architecture: microservices vs monolith	889	356	60%	+30pp
Review PR for security issues	758	244	68%	+27pp
Docker multi-stage build	2583	379	85%	+13pp
Debug PostgreSQL race condition	1339	197	85%	+4pp
Implement React error boundary	4096	658	84%	−3pp
Average	1528	287	78%	+14pp

Range: 60%–92% savings across prompts. Caveman benchmarks averaged 64%.

[!IMPORTANT] Laconic only affects output tokens — thinking/reasoning tokens are untouched. Compression targets prose, not cognition. Biggest win is readability and speed; cost savings are a bonus.

Run benchmarks yourself

cd benchmarks
pip install -r requirements.txt

# Add your Langdock API key to .env.local at the repo root
echo "LANGDOCK_API_KEY=sk-your-key" > ../.env.local

# Dry run (no API calls)
python run.py --dry-run

# Full run (60 API calls: 10 prompts x 2 modes x 3 trials)
python run.py

# Auto-update README table
python run.py --update-readme

Examples

🗣️ Normal (69 tokens)

"The reason your React component is re-rendering is likely because you're creating a new object reference on each render cycle. When you pass an inline object as a prop, React's shallow comparison sees it as a different object every time, which triggers a re-render. I'd recommend using useMemo to memoize the object."

🪨 Caveman (19 tokens)

"New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."

Λ Laconic (10 tokens)

"Inline object prop creates new reference. Wrap in useMemo."

🗣️ Normal

"Sure! I'd be happy to help you with that. The issue you're experiencing is most likely caused by your authentication middleware not properly validating the token expiry. Let me take a look and suggest a fix."

🪨 Caveman

"Bug in auth middleware. Token expiry check use < not <=. Fix:"

Λ Laconic

"Auth middleware expiry check requires <. Fix:"

Install

Claude Code (skill)

npx skills add GabrielBarberini/laconic

Claude Code (plugin)

claude plugin marketplace add GabrielBarberini/laconic
claude plugin install laconic@laconic

Codex

Install from the .agents/plugins/marketplace.json registry or copy the plugins/laconic/ directory into your Codex plugins folder.

Usage

Trigger with:

/laconic
"laconic mode"
"be laconic"
"less tokens please"