Minutes ingest

Skill silverstein/minutes/.claude/plugins/minutes/skills/minutes-ingest

Every meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.

Install

npx -y skills add silverstein/minutes --skill minutes-ingest

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What its author says it does

Copied from the file, not written here

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

SKILL.md

3.4 KB, as published. Nobody here has run it

/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 meetings (backfill)

minutes ingest --all

Preview without writing (recommended first time)

minutes ingest --all --dry-run

What it does

Reads each meeting's YAML frontmatter (decisions, action_items, entities, intents)
Extracts structured facts with confidence levels and source provenance
Updates person profiles in the knowledge base (adapter-dependent format)
Appends to log.md with a timestamped entry for each ingested meeting
Skips facts that already exist (deduplication) or are below the confidence threshold

Safety guarantees

engine = "none" (default): Only extracts from parsed YAML frontmatter. No LLM involved, zero hallucination risk.
Confidence thresholds: Facts below min_confidence are counted as "skipped" but never written.
Provenance: Every fact records which meeting it came from and when.
Deduplication: Facts whose text already appears in a person's profile are skipped.
Dry-run: Always suggest --dry-run first if the user hasn't used ingest before.

Interpreting the output

Ingesting 73 meeting(s) into knowledge base at /path/to/kb
  2026-04-03-strategy.md — 4 written, 1 skipped — Mat, Dan
  2026-04-05-standup.md — 2 written, 0 skipped — Alice
  SKIP 2026-03-18-test.md: no frontmatter

Done. 6 fact(s) written, 1 skipped, 1 error(s), 3 people updated.

written: facts that passed confidence threshold and didn't already exist
skipped: facts below confidence threshold (logged, not written)
SKIP: files that couldn't be parsed (no frontmatter, invalid YAML, etc.)

Gotchas

Meetings without summarization have no structured data — If a meeting was recorded before summarization was enabled, its frontmatter won't have action_items or decisions. The ingest will correctly extract 0 facts. This is expected, not an error.
engine = "agent" requires an AI CLI — If the user wants richer LLM-based extraction from transcript body text, they need claude, codex, gemini, opencode, or pi on PATH.
PARA adapter writes items.json — If the user's knowledge base uses the PARA format, facts go into areas/people/{slug}/items.json with atomic fact schema (id, status, supersededBy).
First run should be dry-run — Always suggest minutes ingest --all --dry-run before the first real run so the user can see what would be extracted.