Minutes Ingest

Turns your meeting notes into structured knowledge base entries by extracting facts from YAML frontmatter and updating person profiles, logs, and indexes. Works with PARA, Obsidian, and wiki formats. The default mode only pulls from parsed frontmatter so there's no hallucination risk, though you can opt into LLM extraction if you want deeper analysis of transcript bodies. The safety model is solid: confidence thresholds, deduplication, provenance tracking, and dry run mode for first timers. Most useful when you've accumulated dozens of meeting files and want to backfill your knowledge base without manually copying facts into profile pages. If your meetings don't have structured frontmatter yet, this won't extract anything, which is correct behavior but worth knowing upfront.

GitHub stars: 1.3K
last updated: Jun 11, 2026

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Install

$ npx -y skills add silverstein/minutes --skill minutes-ingest --agent claude-code

Installs into .claude/skills of the current project.

Files

/minutes-ingest

Process meetings through the knowledge extraction pipeline to update person profiles, append to the knowledge log, and maintain the index.

Prerequisites

The [knowledge] section must be configured in ~/.config/minutes/config.toml:

[knowledge]
enabled = true
path = "/path/to/knowledge/base"
adapter = "wiki"  # or "para", "obsidian"
engine = "none"   # or "agent" for LLM extraction
min_confidence = "strong"

If not configured, explain what's needed and offer to help set it up.

How to run

Single meeting

minutes ingest ~/meetings/2026-04-03-strategy-call.md

All normal meetings (backfill)

minutes ingest --all

Preview without writing (recommended first time)

minutes ingest --all --dry-run

What it does

SKILL.md on GitHub

Details

Repository: github.com/silverstein/minutes
Categories: Documentation, Marketing & SEO, Office & Documents
License: MIT
First seen: Jun 11, 2026

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