Skills

Compressed code review - one line per finding with location, problem and fix.

Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change.

Babysit a shipped release after merge, publication, or deployment.

Caveman in Classical Chinese: 文言文 register, far fewer characters, technical terms verbatim.

Token-optimized structural code search using tree-sitter AST parsing.

Caveman at maximum compression: fragments, one word when one word is enough, each fact once.

Turn one document into a kawaii NotebookLM slide deck.

Open-source AI job search agent -- evaluate offers, generate CVs, scan portals, track applications.

Conduct periodic access reviews and certifications.

Deploy Azure resources with ARM templates and Bicep.

Maintain IT asset inventory and configuration management database.

Use this when setting up claude-mem on Grok Bot: local worker plus CMEM Pro observer (default), optional host-login observer, or remote cmem.ai.

Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.

Set up or check claude-mem cloud sync with cmem.ai Pro.

Systematically explore and test a web application to find bugs, UX issues, and other problems.

Interact with Slack workspaces using browser automation.

Use this when fulfilling claude-mem observer jobs on Grok Bot: reply only skip_summary or one full observation XML, never prose.

Explain how claude-mem captures observations, when memory injection kicks in, and where data lives.

Prime a codebase by reading every source file in full.

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

Fix bugs and small behavior changes at the narrowest responsible layer.

Pursue a long-running goal in a single session by co-ordinating subagents.

Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.

Writing, exploit: shape raw material into an article, paragraph by paragraph.