Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Caveman · shobcoder | DecimalAI

agent toolingby shobcoder

Caveman

shobcoder/caveman

Source shobcoder/shob ↗License MIT

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra.

SkillScore68Maintained

Automatic

Writing & Editing pack

Last verified 8/17/2026

What it changes

Passed 15 of 22 test cases with the skill, and 12 of 22 without it.

Without skill55%

With skill68%

Checks it passed that the model alone missed

The response uses arrow notation for causality.
The response includes complete grammatical sentences.
The output remains terse without requiring a re-prompt.

and 5 more in the full report

8 fixed7 passed either way2 still failing5 broke

Pass-rate lift: +14 pp
Tokens: +10%
Agent turns: 0%
Response time: -52%

Model gemini-3.6-flashMeasured 8/17/2026v115 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/shobcoder-caveman/SKILL.md https://app.decimal.ai/s/shobcoder-caveman/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add shobcoder-caveman, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/shobcoder-caveman/ and pins it in .decimal/skills.lock

decimalai skills add shobcoder-caveman

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/shobcoder-caveman/SKILL.md https://app.decimal.ai/s/shobcoder-caveman/SKILL.md

Raw file: /s/shobcoder-caveman/SKILL.md ↗ · machine-readable summary at /s/shobcoder-caveman.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

/caveman wenyan-ultra Explain CPU cache misses and RAM fetch latency.

What was checked, without and with the skill
Checked	Without skill	With skill
The response uses arrow notation for causality.	Missed	Passed
The response uses condensed classical Chinese character phrasing.	Passed	Passed

case-06 · gemini-3.6-flash · 8/17/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md64 linessingle file

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

Persistence

ACTIVE EVERY RESPONSE. No revert after many turns. No filler drift. Still active if unsure. Off only: "stop caveman" / "normal mode".

Default: full. Switch: /caveman lite|full|ultra.

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"). Technical terms exact. Code blocks unchanged. Errors quoted exact.

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:"

Intensity

Level	What change
lite	No filler/hedging. Keep articles + full sentences. Professional but tight
full	Drop articles, fragments OK, short synonyms. Classic caveman
ultra	Abbreviate prose words (DB/auth/config/req/res/fn/impl), strip conjunctions, arrows for causality (X → Y), one word when one word enough. Code symbols, function names, API names, error strings: never abbreviate
wenyan-lite	Semi-classical. Drop filler/hedging but keep grammar structure, classical register
wenyan-full	Maximum classical terseness. Fully 文言文. 80-90% character reduction. Classical sentence patterns, verbs precede objects, subjects often omitted, classical particles (之/乃/為/其)
wenyan-ultra	Extreme 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: "物出新參照，致重繪。useMemo .Wrap之。"
wenyan-ultra: "新參照→重繪。useMemo Wrap。"

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 DB conn. Skip handshake → fast under load."

Track record

Benchmark

15 / 22

test cases passed, vs 12 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan14 of 15 checks clean

0 critical · 0 warning · 1 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

No issues (informational notes only).

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

shobcoder / shob

skills/caveman/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

More skills from the same source and nearby in the registry, with their headline benchmark lift.