wiki-enrich

What problem does it solve?

It helps you distill scattered daily journal entries into high-signal highlights and a structured monthly review, so your knowledge base evolves from “raw logs” to “usable insights” without cluttering or copying everything.

Core Features & Use Cases

• Subject-based signal extraction: Groups journal items by subject (people, projects, concepts) to avoid dumping full conversations.
• High-signal filtering: Keeps decisions, conclusions, new facts, lessons, and new resources while discarding emotional noise and duplicates.
• Monthly review drafting with traceability: Produces a monthly recap draft that aggregates highlights and includes a pending approval list for fileback into沉淀层.
• Safe workflow by design: Proposes changes only; actual writing is delegated to wiki-fileback, then followed by a quick lint check.

Quick Start

Ask your AI agent: “enrich my recent daily journal into a monthly review and propose the knowledge-base fileback, then run a quick lint check.”