Design or modify Markdown knowledge-vault navigation: folder hubs, agent navigation, routing matrices, workstream graphs, optional Bases/view layers, templates, health-check rules, and long-term traversability.
Use when creating, promoting, importing, nesting, or reorganizing scopes inside an existing Markdown knowledge vault with inherited parent and child scope rules.
Validate the structure of an agent-maintained Markdown knowledge vault with deterministic CLI checks for YAML/frontmatter, broken wikilinks, Markdown orphans, scope wiring, and optional Obsidian-compatible view files.
Bootstrap an agentic Markdown knowledge vault for projects, research, learning, life systems, and other long-running knowledge work. Use when creating a new vault, installing the base folder structure, templates, AGENTS.md, CLAUDE.md, Agent navigation files, and optional Obsidian-compatible Bases.
Create or update workspace-level instruction files for code repositories or ordinary project folders, including AGENTS.md, CLAUDE.md, GEMINI.md, local override files, and Ariadne vault-link blocks. Use when a user wants to initialize, repair, or refresh workspace instructions, connect a workspace to a registered Ariadne vault or scope, or make instructions portable across Codex, Claude Code, Gemini CLI, and other agent runtimes without duplicating global discovery.
Run maintenance and health checks for agent-maintained Markdown knowledge vaults: broken links, orphan notes, stale hubs, invalid frontmatter, uncompiled raw sources, stale queues, unresolved questions, optional Base coverage, and health reports.
Close or checkpoint meaningful completed work in an agent-maintained Markdown knowledge vault. Use when the user asks to run Ariadne closeout, make work durable, close the loop, checkpoint this work, capture the outcome, decide whether a chat can close, draft a handoff, or update vault memory after incidents, releases, evaluations, feature work, architecture/product decisions, research sprints, or substantial planning sessions.
Register existing Markdown knowledge vaults for machine-level discovery so cold agents can find long-term knowledge from any workspace. Use when checking, adding, updating, repairing, or removing global vault discovery.