Browse Skills

Ponytail puts an agent into lazy senior developer mode that enforces YAGNI, stdlib-first, and minimal-diff choices for any coding task. Use it to write, refactor, fix, or review code without over-engineering.

Ponytail Help displays a one-shot reference card for ponytail's modes, skills, and commands. Use it to recall triggers, levels, configuration, and how to disable the lazy mode without changing state.

Caveman activates an ultra-compressed communication mode in Claude Code that cuts token usage by about 75% while preserving full technical accuracy. Use it when a user requests caveman mode, wants fewer tokens, or asks for brief responses.

Ponytail forces the laziest solution that actually works, favoring simplicity, the standard library, native platform features, and minimal diffs. Use it on any coding task to question scope, avoid over-engineering, and ship the shortest correct fix.

Ponytail Help displays a one-shot reference card for all ponytail modes, skills, and commands. Use it when you need to recall how to invoke ponytail lite, full, ultra, reviews, audits, and configuration options.

Cavecrew provides a decision guide for when to spawn caveman-style subagents — investigator, builder, reviewer — to locate code, make small edits, or review diffs, returning compressed output that saves main context. Use it when delegating tasks in Claude Code to reduce token usage.

Caveman compresses AI output into terse, technically accurate caveman-style responses, cutting token usage by 65% while preserving meaning. Use when the user requests caveman mode, brevity, or token efficiency.

Caveman Commit generates concise Conventional Commits messages that cut noise while preserving intent and reasoning. Use it when asked to write a commit message or when staging changes.

Caveman Discover finds every LLM workflow in the current repository and labels it so Caveman Cloud groups spend by what the code actually does. Use when the user asks to discover workflows or break LLM spend down by workflow.

Caveman Experiment Manager inspects Caveman Cloud's eval-gated experiment lifecycle, reads current state and results, and reports one supported recommendation or blocks unsafe actions. Use it when asked to start, approve, cancel, promote, or roll back a Caveman experiment.

Caveman Explore is a read-only repository explorer that returns compact path:line citations for where code lives. Use it proactively for cold-start exploration, broad cross-file localization, or when a direct search has failed and you need to find where something lives.

Caveman Learn reviews ranked token sinks from a caveman learn report and applies cost-lowering fixes such as trimming heavy CLAUDE.md files or offloading recurring context to cavemem, with per-edit consent. Use it after running 'caveman learn' or when asked to lower an agent's token cost, trim a heavy CLAUDE.md, or offload context that is re-pasted every session.