What problem does it solve?
This Skill helps users turn messy raw materials into durable, searchable JournalClaw notes without manually deciding structure, format, or organization. It reduces the friction of capturing recordings, pasted text, files, meeting notes, reading notes, reports, and personal reflections by classifying the note type and applying the right writing pattern automatically.
Core Features & Use Cases
- Automatic note family classification: Identifies one primary family and subtype for inputs such as meetings, work reports, project docs, research notes, learning notes, technical records, personal journals, HR operations, and content drafts.
- Template-guided MDX generation: Loads only the relevant template, example, writing rules, and component guidance to create high-quality .mdx notes with YAML frontmatter, summaries, tags, and source tracking.
- Append and merge behavior: Updates same-day, same-topic entries by merging sources and refreshing summaries instead of creating fragmented duplicate notes.
- Structured evidence handling: Preserves uncertainty, extracts decisions, actions, risks, quotes, and timelines, and uses typed JSX components only when they improve clarity.
- Use cases: Organize a product review meeting into a decision record, convert weekly updates into a structured work report, transform reading highlights into reusable learning notes, or compile incident materials into a technical review entry.
Quick Start
Ask the journal skill to turn your uploaded meeting transcript or pasted raw material into a structured JournalClaw .mdx note with the most appropriate template and source tracking.
