Generates summaries of vault data by date, type, status, and area.
npx skills add https://github.com/AndersonsRepo/AI-Harness --skill digest-andersonsrepo
Please help me install this Agent Skill. Skill: digest Source: https://github.com/AndersonsRepo/AI-Harness/tree/main/.claude/skills/digest Command: npx skills add https://github.com/AndersonsRepo/AI-Harness --skill digest-andersonsrepo
This Skill helps you quickly understand recent activity and key learnings within your vault, preventing information overload and highlighting important trends.
Ask the digest skill to summarize learnings for today.
High-intent search queries and answers about installing and using this skill.
You can generate a summary of vault learnings by specifying dates or date ranges. The digest analyzes file metadata, including type, status, and recurrence counts, to identify new entries, patterns approaching promotion, and potential quick wins.
Generating a vault digest is the best way to identify recurring issues. It analyzes file metadata and recurrence counts to highlight patterns approaching promotion and points out simple feature requests as quick wins.
Yes, you can aggregate vault learnings by date, type, status, and area. The digest supports these aggregation methods and can also include content from daily digest files to provide a comprehensive summary.
You can get a daily summary of new learnings, errors, and feature requests by asking for a vault digest. It provides concise overviews of recent activity to prevent information overload and highlight important trends.
Yes, the digest supports identifying quick wins by pointing out feature requests that are simple to implement. It analyzes vault activity and file metadata to highlight these opportunities in your summary.
aplaceforallmystuffAppend session activity to today's daily note in an Obsidian vault.
pluginagentmarketplaceGenerate security assessment reports from structured findings in Markdown, HTML, PDF, or DOCX.
llm011Manage Obsidian vault notes, metadata, tags, and backlinks while preserving structure.
zhenxuanshi-ship-itSearch and retrieve stock analysis diary entries from a local Markdown log.
