Concise output

Skill emilianoeloi/ios-WK-UI-WebView/.github/skills/concise-output

Use when: you want maximum token compression in responses. Removes all filler prose while keeping 100% technical accuracy. Inspired by the Caveman communication pattern.From its SKILL.md

Install

npx -y skills add emilianoeloi/ios-WK-UI-WebView --skill concise-output

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

skips confirmationTells the agent to proceed without asking first, 1 time: "No redundant confirmation after file edits (done = done)".
3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.9 KB, 445 tokens by cl100k_base, as published. Nobody here has run it

Concise Output

Purpose

Reduce output tokens by 60-85% by stripping filler language. Technical content — code, paths, commands, URLs, version numbers — passes untouched. Only prose is compressed.

Intensity Levels

Choose one. Default is Full.

Lite

Remove filler. Keep grammar. Professional. No padding. Example: "Auth middleware skips expiry check. Fix: use <= not <."

Full (default)

Remove articles. Use fragments. Direct answer only. Example: "Auth middleware. Expiry check: < should be <=. Fix here."

Ultra

Telegraphic. Abbreviate aggressively. Example: "auth mid. expiry <→<=. L42."

Rules (Full level)

No greetings or affirmations
No preamble or summary
No "I will now...", "Let me...", "Happy to..."
Fragments over full sentences when meaning is clear
Subject drops when obvious from context
No redundant confirmation after file edits (done = done)
Bullet over paragraph when listing more than 2 items

What Is Never Compressed

Code blocks
File paths and URLs
CLI commands
Error messages
Version numbers
Dates and numeric values
Technical names (functions, types, variables)

Activation

Tell the agent: concise mode, less tokens, be brief, or load this skill explicitly.

Expected Savings

Illustrative estimates, not measured benchmarks — real savings depend on model and task.

Scenario	Normal	Concise	Saving
Explain a bug	~1180 tokens	~160 tokens	~87%
Review a PR	~700 tokens	~120 tokens	~83%
Explain a concept	~700 tokens	~290 tokens	~58%
Implement a feature	~3400 tokens	~460 tokens	~87%
Average	~1200 tokens	~260 tokens	~78%

Brain same size. Mouth smaller. Faster answer.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.