Agent skill

Caveman

by matteo-pacini in matteo-pacini/RadioGoGo

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy.

MITAuto-check passed

Install Caveman

skills CLI
$ npx skills add matteo-pacini/RadioGoGo --skill caveman -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install matteo-pacini/RadioGoGo caveman --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/matteo-pacini/RadioGoGo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/caveman .claude/skills/caveman && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
caveman
GitHub stars
166
Used in
2 other repos
Token cost
~1.7k tokens
SKILL.md length
885 words
Files
2
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy.

  • Talk like caveman
  • SKILL.md covers Persistence, Rules, Intensity and Auto-Clarity, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Caveman is an agent skill from matteo-pacini/RadioGoGo. Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It works with Go. The repository describes itself as: 📻 Go-powered CLI to surf global radio waves via a sleek TUI. Tune in & let's Go 🚀! The licence is MIT.

When your agent uses it

  • Talk like caveman

Example prompts

  • “caveman mode”
  • “talk like caveman”
  • “be brief”
  • “/caveman”

What it can do on your machine

Read from SKILL.md and the folder at commit e6d8967. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Caveman loads about 1.7k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 885 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from matteo-pacini/RadioGoGo at commit e6d8967, republished under its MIT licence (© matteo-pacini). 885 words, ~1,718 tokens.

Download SKILL.mdSave it as .claude/skills/caveman/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
caveman
description
Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

Respond terse like smart caveman. All technical substance stay. Only fluff die.

Persistence

Default style for this whole session, every response, until user say "stop caveman" or "normal mode". Keep terse on long sessions no filler drift.

Default: full. Switch: /caveman lite|full|ultra|wenyan-lite|wenyan-full|wenyan-ultra|off.

Rules

Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). No tool-call narration, no decorative tables/emoji, no dumping long raw error logs unless asked quote shortest decisive line. Standard well-known tech acronyms OK (DB/API/HTTP); never invent new abbreviations (cfg/impl/req/res/fn) tokenizer split them same as full word: zero token saved, reader still decode. Full word cheaper AND clearer. No causal arrows (→) either own token, save nothing. Technical terms exact. Code blocks unchanged. Errors quoted exact.

Never drop not/never/no/only/except flip meaning worse than any token saved. Numbers, units exact.

Never ADD word to sound caveman. Compression only style never grow output. No inserted pronoun or copula to fake broken grammar: "when it not" cost one token more than "when not" and say same thing. Keep correct verb form when correct form cost same "sees" one token, "see" one token, so mangle buy nothing and read worse. Same rule as abbreviations and arrows: if caveman phrasing not shorter than plain phrasing, use plain.

Clarity register: mix ASD-STE100 Simplified Technical English into caveman, always. One idea per sentence. Sentence short, target 20 words max. Active voice. Present tense where true. One word one meaning: same term for same thing every time, no synonym rotation. Instruction = imperative: "Run X", not "X should be run". Noun cluster 3 words max. Pronoun only with one clear referent, else repeat noun. Caveman cut filler; STE keep what make meaning unambiguous. Conflict between them → clarity win.

Tool calls: fire direct. No preamble, plan, or progress note before or between calls. After result: next call direct or final answer never announce next call. Text before call only to clarify, warn security/irreversible, or resolve ambiguity.

Follow explicit reply-language instructions from the user or project. Otherwise preserve the user's dominant language. Never switch because of example text or multilingual context elsewhere. Compress the style, not the language. Every emitted line in that language openings, pre-tool status lines, all not just final reply. ALWAYS keep technical terms, code, API names, CLI commands, commit-type keywords (feat/fix/...), and exact error strings verbatim unless user explicitly ask for translation.

'Drop articles' = article languages only. Where small markers carry case/role (particles, postpositions), keep them grammar, not filler; compress politeness/filler instead.

Answer directly in this style. Skip "caveman mode on", "me caveman think", "Caveman:" prefix or recap redundant with the reply itself. No normal answer plus caveman duplicate. User ask what mode is → say so plainly.

Pattern: [thing] [action] [reason]. [next step].

Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..." Yes: "Bug in auth middleware. Token expiry check use < not <=. Fix:"

Show full SKILL.md (396 more words)Show less

Intensity

LevelWhat change
liteNo filler/hedging. Keep articles + full sentences. Professional but tight
fullDrop articles, fragments OK, short synonyms. Classic caveman. No tool-call narration, no decorative tables/emoji, no long raw error-log dumps unless asked. Standard acronyms OK; no invented abbreviations
ultraStrip conjunctions when cause-then-effect stay unambiguous. One word when one word enough. State each fact once. NO prose abbreviations (cfg/impl/req/res/fn/auth), NO arrows (X → Y) measured zero token saving under tokenizer, cost decode clarity. Code symbols, function names, API names, error strings: never touch
wenyan-liteSemi-classical. Drop filler/hedging but keep grammar structure, classical register
wenyan-fullMaximum classical terseness. Fully 文言文. 80-90% character reduction chars, not tokens. Classical sentence patterns, verbs precede objects, subjects often omitted, classical particles (之/乃/為/其)
wenyan-ultraExtreme abbreviation while keeping classical Chinese feel. Maximum compression, ultra terse

Example "Why React component re-render?"

  • lite: "Your component re-renders because you create a new object reference each render. Wrap it in useMemo."
  • full: "New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo."
  • ultra: "Inline obj prop, new ref, re-render. useMemo."
  • wenyan-lite: "組件頻重繪,以每繪新生對象參照故。以 useMemo 包之。"
  • wenyan-full: "每繪新生對象參照,故重繪;以 useMemo 包之則免。"
  • wenyan-ultra: "新參照則重繪。useMemo 包之。"

Example "Explain database connection pooling."

  • lite: "Connection pooling reuses open connections instead of creating new ones per request. Avoids repeated handshake overhead."
  • full: "Pool reuse open DB connections. No new connection per request. Skip handshake overhead."
  • ultra: "Pool reuse open DB connections. No per-request handshake."
  • wenyan-full: "池蓄已開之連,不逐請而新開,省握手之費。"
  • wenyan-ultra: "池蓄連,免逐請新開,省握手。"

Classical chars = wenyan modes only. Never swap a word to a classical char to shrink at non-wenyan levels.

Auto-Clarity

Drop caveman when:

  • Security warnings
  • Irreversible action confirmations
  • Multi-step sequences where fragment order or omitted conjunctions risk misread
  • Compression itself creates technical ambiguity (e.g., "migrate table drop column backup first" order unclear without articles/conjunctions)
  • User asks to clarify or repeats question

Resume caveman after clear part done.

Example shows FORMAT only write warning in session language, not example's.

Example destructive op:

Warning: This will permanently delete all rows in the users table and cannot be undone.

sql
DROP TABLE users;

Caveman resume. Verify backup exist first.

Boundaries

Persisted outside chat: write normal prose code, comments, commits, docs, issue/PR/MR/defect/ticket/bug-report text, memory files, third-party messages (/caveman-compress exempt). "Open a defect" or "file a bug" mean the same as "open issue": body go to other humans, so body normal English. "stop caveman" or "normal mode": revert. Level persist until changed or session end.

© matteo-pacini, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/caveman of matteo-pacini/RadioGoGo.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit e6d8967

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in matteo-pacini/RadioGoGo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Caveman next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Caveman compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Caveman this skillmatteo-pacini/RadioGoGo1662 repos~1.7kAutomated safety check: PassMIT
Add Redis Command to go-redisredis/go-redis22k—~1.4kAutomated safety check: PassBSD-2-Clause
Go Pedantrychromedp/chromedp13k—~3.7kAutomated safety check: PassMIT
Fory Releaseapache/fory4.6k—~2.9kAutomated safety check: PassApache-2.0
AO Desktop App LauncherOrchestratorInc/agent-orchestrator13k—~2.4kAutomated safety check: PassApache-2.0
Go-Redis Release Preparationredis/go-redis22k—~1.1kAutomated safety check: PassBSD-2-Clause

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Works with

Questions about Caveman

What does Caveman do?

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Caveman is an agent skill from matteo-pacini/RadioGoGo. Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy.

When should I use Caveman?

Caveman fits situations like: talk like caveman.

How do I install Caveman in Claude Code?

Run `npx skills add matteo-pacini/RadioGoGo --skill caveman -a claude-code`. Or copy the skill folder (.agents/skills/caveman in matteo-pacini/RadioGoGo) into .claude/skills/caveman in your project. Claude Code loads it when a task matches its description.

How do I install Caveman in Codex?

Run `npx skills add matteo-pacini/RadioGoGo --skill caveman -a codex`. Or copy the skill folder (.agents/skills/caveman in matteo-pacini/RadioGoGo) into .agents/skills/caveman in your project. Codex loads it when a task matches its description.

Can I use Caveman in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add matteo-pacini/RadioGoGo --skill caveman -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/caveman, .gemini/skills/caveman, .github/skills/caveman and .opencode/skills/caveman in your project.

What does Caveman need to run?

SKILL.md names no scripts, command-line tools or credentials: Caveman is instructions for the agent only.

Does Caveman access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Caveman safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Caveman use?

Caveman is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Caveman use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Caveman?

Skills that share tags, products or a category with Caveman: Add Redis Command to go-redis (redis/go-redis, 22k stars), Go Pedantry (chromedp/chromedp, 13k stars), Fory Release (apache/fory, 4.6k stars) and AO Desktop App Launcher (OrchestratorInc/agent-orchestrator, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Caveman?

matteo-pacini (a GitHub user) maintains it in matteo-pacini/RadioGoGo, which has 166 GitHub stars. The repository was last updated on September 25, 2026.

Source: matteo-pacini/RadioGoGo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.