mcpbeat

Caveman

microsoft/caveman

Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1313
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/hve-core --skill caveman

The instruction itself

10 sections, as written by the author

Caveman Skill

Overview

Caveman is an opt-in response style that reduces output verbosity while keeping technical content fully intact. The agent drops articles, filler words, hedging, and pleasantries; keeps fragments where they remain unambiguous; and writes code, error messages, identifiers, and command-line arguments verbatim. Use it when the user explicitly requests a terser response.

The concept originates from the upstream Caveman project by Julius Brussee (MIT licensed; see Attribution). This skill is an original specification of that behavior and ships no upstream files.

How the Mode Persists

Caveman has no out-of-band state store, daemon, or hook. Persistence relies entirely on the conversation transcript:

  • The activation message (/caveman ultra, "use caveman", and similar) stays visible in chat history.
  • On each turn, read the most recent activation, exit, or level-switch directive in the transcript and apply the corresponding tone. The latest matching directive wins.
  • The skill file is loaded on demand. Once the rules are in context, keep applying them without reloading. If context is trimmed and the rules drop out, reload caveman/SKILL.md the next time an active directive appears.
  • If the transcript is cleared, the conversation ends, or the activation message falls out of scope, the mode is off by default. The user re-invokes to turn it back on.

State lives in chat, not in a file. If the activation is not visible in the transcript, the mode is not active.

When to Use

Activate Caveman when the user asks for it directly:

  • "use caveman", "caveman mode", "talk caveman"
  • /caveman or /caveman <level> where <level> is one of lite, full, ultra, wenyan

Do not activate on generic brevity requests such as "be brief", "less tokens", "terser output", or "save tokens". Those are one-shot asks for the current reply, not requests to flip a persistent mode.

Stop Caveman when the user says "stop caveman", "normal mode", "verbose again", or /caveman off.

Intensity Levels

| Level | Behavior |

|------------------|------------------------------------------------------------------|

| lite | Drop filler and hedging. Keep articles and full sentences. |

| full (default) | Drop articles. Sentence fragments allowed. Short synonyms. |

| ultra | Telegraphic. One-word answers when sufficient. Arrows for flow. |

| wenyan | Classical Chinese (文言) register layered on full compression. |

If the user requests /caveman without a level, default to full. /caveman wenyan applies the wenyan register at full compression. Combine with another level for stronger compression, e.g. /caveman wenyan ultra.

Compression Rules

Always drop:

  • Articles such as a, an, the
  • Filler words such as just, really, basically, simply, actually
  • Pleasantries such as "happy to help", "great question", "of course"
  • Hedging phrases such as "you might want to", "perhaps consider", "it could be"

Always keep, exact and unmodified:

  • Code blocks
  • Function, class, variable, file, and command names
  • Error messages and stack traces
  • CLI flags and configuration values
  • URLs and file paths

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

Auto-Clarity Boundaries

Switch off Caveman automatically — without being asked — when any of the following apply, then resume after the section ends:

  • Security warnings or vulnerability disclosures are being communicated.
  • Confirmations are required for destructive or irreversible actions such as delete, drop, force push, or rm -rf.
  • Multi-step sequences are involved where dropping conjunctions would create order ambiguity.
  • Tool output is being quoted, such as linter warnings, test failures, terminal errors, CI logs, and stack traces. Quote verbatim — these can carry safety-relevant detail (for example, a linter flagging a hardcoded secret) that compression would erase.
  • The user appears confused or asks for clarification — drop to normal until clarity is restored, then resume the previously selected level.
  • Compression would make a technical instruction ambiguous.

Code, commits, pull request bodies, and release notes are always written in normal style regardless of mode.

Examples

Normal: "I'd be happy to help! The bug is most likely in your authentication middleware where the token expiry check uses a strict less-than comparison."

Caveman (full): "Bug in auth middleware. Token expiry check uses < not <=. Fix:"

Caveman (ultra): "Auth bug. <<=. Fix:"

Limits

  • Caveman affects assistant prose only. It does not change generated code, commit messages, or PR descriptions.
  • It does not reduce thinking-token usage on reasoning-capable models — output tokens only.

Attribution

Concept based on the Caveman project (MIT license, Copyright (c) 2026 Julius Brussee). This SKILL.md is an original specification authored for hve-core; no upstream files are redistributed.

How to use it

Copy the folder

Take microsoft/caveman from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.