claude-skills/engineering/caveman
Claude 0f88555485
chore(versioning,docs): normalize stale versions to 2.9.0 + refresh counts
Version normalization (scope: only plugins/skills older than 2.7.0):
- Bumped 52 plugin.json + 21 SKILL.md `version` fields from pre-2.7.0
  values (1.0.0 / 2.0.x / 2.2.x / 2.3.x / 2.4.x / 2.5.x) to 2.9.0.
  Left 2.7.0+ packages untouched. Tool mirrors (.codex/.gemini/.vibe/
  .hermes) excluded. All manifests still pass check_plugin_json --all.

Doc count refresh (recomputed raw figures: 338 skills, 16 domains,
62 plugins, 533 Python tools, 676 references):
- marketplace.json: both descriptions + metadata.version -> 2.9.0.
- Root README: headline, badges (Skills 338, Agents 51+, Commands 87+),
  intro counts, convert section (338 skills / 9 tools), and the full
  domain table rebuilt to 16 domains summing to 338 (adds research-ops,
  business-operations, commercial, compliance-os; corrects product 17,
  marketing 46, c-level 66, ra-qm 18, finance 4, engineering 51/78).
- Fixed stale per-skill README `Version:` lines left inconsistent by the
  bump (andreessen, c-level-agents, product-team, senior-qa).
- Fixed stale domain README footers (product-team 17/17, c-level 66/66,
  project-management 9/9).
- CLAUDE.md scope line, structure tree, highlight, and footer synced to
  the raw figures.

https://claude.ai/code/session_01PUNmQVE4WYvcrzpq2anC3D
2026-05-27 05:22:59 +00:00
..
.claude-plugin chore(versioning,docs): normalize stale versions to 2.9.0 + refresh counts 2026-05-27 05:22:59 +00:00
agents feat(productivity): derive caveman + grill-me + handoff from Matt Pocock (MIT) 2026-05-13 21:50:40 +00:00
commands feat(productivity): derive caveman + grill-me + handoff from Matt Pocock (MIT) 2026-05-13 21:50:40 +00:00
skills/caveman fix(productivity): add H1 heading to caveman/grill-me/handoff SKILL.md 2026-05-13 21:54:09 +00:00
README.md feat(productivity): derive caveman + grill-me + handoff from Matt Pocock (MIT) 2026-05-13 21:50:40 +00:00

caveman

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy.

Attribution

Derived from Matt Pocock's caveman (MIT). Matt's SKILL.md voice + activation triggers + persistence rules preserved verbatim per his MIT license.

What this adds on top of Matt's original

Addition Where Why
3 stdlib Python tools skills/caveman/scripts/ Compressor (apply Matt's rules deterministically), token-savings estimator (measure %), lint (verify response follows rules)
3 in-depth references (5+ sources each) skills/caveman/references/ Compression principles · Technical communication patterns · When caveman backfires (the auto-clarity exceptions, deepened)
cs-caveman-mode persona agent agents/cs-caveman-mode.md Persistent caveman-mode operator with hard rules for technical-content exceptions
/cs:caveman slash command commands/cs-caveman.md One-line trigger + persistence enforcer

Quick start

# Compress text per Matt's rules
python skills/caveman/scripts/caveman_compressor.py "Sure! I'd be happy to help you with that. The issue is..."

# Estimate token savings on a piece of text
python skills/caveman/scripts/token_savings_estimator.py "input text"

# Lint a response to check caveman compliance
python skills/caveman/scripts/caveman_lint.py "response text"

All three tools run with embedded samples if no input provided.

License

MIT (matching Matt's upstream).