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From well-cafe-notebook
Serendipity engine — pulls random notes from across the vault, finds unexpected connections and patterns, and surfaces ideas the user wouldn't have looked for. Read-only unless the user asks to create or modify notes.
How this skill is triggered — by the user, by Claude, or both
Slash command
/well-cafe-notebook:notes-surpriseThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
A serendipity skill. Pull random notes, find unexpected threads, present connections. Do not create or modify anything unless the user explicitly asks.
A serendipity skill. Pull random notes, find unexpected threads, present connections. Do not create or modify anything unless the user explicitly asks.
obsidian random:read — run these calls in parallel since they're independentThis skill is part of the well-cafe-notebook plugin. The obsidian-workflow skill must be installed and its setup steps followed — including reading CLAUDE.md — before using this skill.
Read CLAUDE.md at the vault root for vault conventions.
Notes may be fragmentary, shorthand, or context-dependent. If a note is too sparse to interpret, skip it and pull another rather than guessing. If a connection you've surfaced relies on an interpretation of a messy note, flag that uncertainty to the user when presenting it.
Favour surprise over safety. The goal is not to find obvious connections but to bridge distant ideas — a physics note and a dance note, a project concern and a resource, an old archived idea and a current area. Treat the vault as a mind and look for the subconscious links.
Pull at least 4-6 notes to give enough surface area for unexpected connections. Vary the source folders — don't pull only from one area.
If the user wants to capture a connection as a new note, ask where they'd like it filed before creating anything.
npx claudepluginhub wellcaffeinated/well-cafe-skills --plugin coding-conventionsGenerates bridge notes within an Obsidian vault by detecting semantic gaps, incomplete MOCs, and implicit concepts. Creates drafts linking existing content without inventing external facts.
Searches an Obsidian vault for prior knowledge, past decisions, and accumulated learnings, surfacing relevant notes before answering from general knowledge. Uses index-first retrieval with fallback content search.
Explores knowledge vault on a topic using semantic search, graph neighborhood traversal, and gap analysis to map notes, connections, and missing knowledge before research or note creation.