Skill UI

Tree Ring Memory is a local-first framework for managing AI agent memory lifecycles. It enables recall, evidence recording, auditing, and forgetting without dumping transcripts. Built with Rust and SQLite, it supports scoped memory, privacy, and durable project knowledge consolidation. Ideal for developers managing AI agent projects securely.

This skill helps plan and review read-only data warehouse analysis with explicit scope, privacy, and validation checks. It turns business questions into reproducible analysis plans without assuming specific schemas. It identifies needed data, reviews proposed queries for risks like grain or privacy, and ensures results are communicated accurately. Suitable for authorized data warehouse usage, query review, and analysis documentation while avoiding administrative tasks.

A skill to create a data privacy control register listing data categories, lawful basis, retention periods, access roles, encryption, and consent requirements per module. Useful for GDPR and CCPA compliance in small and medium enterprises.

Registers zero-knowledge SNARK proof verification keys, circuit complexity constraints, and nullifier tracking for double-spending prevention in privacy systems. Provides standardized field schemas, SQL DDL, JSON validation, and best practices for auditable cryptographic verification across distributed applications and smart contracts.

Audits and rolls out Claude Code across a team: lints settings.json across five scopes, inventories MCP servers and plugins against an allowlist, resolves CLAUDE.md layers, and measures adoption with privacy-safe counts.

This tool provides a unified cost view for AI agents like Claude Code, Codex, and Grok. It reads local logs to calculate spend, token usage, and cache hit ratios per provider and model. It flags unpriced models and supports filtering by time range, project, and provider. Output can be JSON or Markdown. All data stays local, ensuring privacy. Ideal for auditing AI usage costs and comparing provider pricing.