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Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index.
Passed 19 of 21 test cases with the skill, and 5 of 21 without it.
and 19 more in the full report
15 fixed5 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
When running batch ingestion, which central file in the knowledge repository receives chronological audit entries for every processed call file?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies log.md as the destination file for timestamped ingestion entries. | Missed | Passed |
The instructions your model reads when the skill loads.
Process meetings through the knowledge extraction pipeline to update person profiles, append to the knowledge log, and maintain the index.
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.
minutes ingest ~/meetings/2026-04-03-strategy-call.md
minutes ingest --all
minutes ingest --all --dry-run
test cases passed, vs 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.