Agent skill

Minutes Ingest

by silverstein in silverstein/minutes

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index.

MITAuto-check passedKnowledge Management

Install Minutes Ingest

skills CLI
$ npx skills add silverstein/minutes --skill minutes-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install silverstein/minutes minutes-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/silverstein/minutes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.opencode/skills/minutes-ingest .claude/skills/minutes-ingest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
minutes-ingest
GitHub stars
1.5k
Token cost
~894 tokens
SKILL.md length
335 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index.

  • Works in 6 steps: Reads each meeting's YAML frontmatter… → Extracts structured facts with… → Updates person profiles in the knowledge… → …
  • The user asks ingest my meetings
  • SKILL.md covers Prerequisites, How to run, What it does and Safety guarantees, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Minutes Ingest is an agent skill from silverstein/minutes. 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.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: opencode

It sits in Knowledge Management, covering Knowledge bases. It works with Obsidian. The repository describes itself as: Open-source, local-first Granola/Otter alternative that Claude Code, Codex, Cursor, and any MCP client can query. Meetings, calls, and voice memos transcribed on-device into… The licence is MIT.

When your agent uses it

  • The user asks ingest my meetings
  • Update my knowledge base
  • Extract facts from meetings
  • Sync meetings to wiki

Example prompts

  • “ingest my meetings”
  • “update my knowledge base”
  • “extract facts from meetings”
  • “/minutes-ingest”

Requirements

  • Compatibility (from SKILL.md): opencode

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Reads each meeting's YAML frontmatter (decisions, action_items, entities, intents)
  2. Extracts structured facts with confidence levels and source provenance
  3. Updates person profiles in the knowledge base (adapter-dependent format)
  4. Appends to log.md with a timestamped entry for each ingested meeting
  5. Skips facts that already exist (deduplication) or are below the confidence threshold
  6. Excludes meetings designated sensitivity: restricted from automated knowledge-base ingestion

What it can do on your machine

Read from SKILL.md and the folder at commit d3285c7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and toml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    opencode

    From compatibility in the SKILL.md frontmatter.

Context cost

Minutes Ingest loads about 894 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~894

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from silverstein/minutes at commit d3285c7, republished under its MIT licence (© silverstein). 335 words, ~894 tokens.

Download SKILL.mdSave it as .claude/skills/minutes-ingest/SKILL.md (or your agent's skills folder).
name
minutes-ingest
description
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.
compatibility
opencode

/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:

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
bash
minutes ingest ~/meetings/2026-04-03-strategy-call.md
All normal meetings (backfill)
bash
minutes ingest --all
bash
minutes ingest --all --dry-run

What it does

  1. Reads each meeting's YAML frontmatter (decisions, action_items, entities, intents)
  2. Extracts structured facts with confidence levels and source provenance
  3. Updates person profiles in the knowledge base (adapter-dependent format)
  4. Appends to log.md with a timestamped entry for each ingested meeting
  5. Skips facts that already exist (deduplication) or are below the confidence threshold
  6. Excludes meetings designated sensitivity: restricted from automated knowledge-base ingestion

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.

© silverstein, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .opencode/skills/minutes-ingest of silverstein/minutes.

Open the folder on GitHubat commit d3285c7

Compare with similar skills

Minutes Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Minutes Ingest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Minutes Ingest this skillsilverstein/minutes1.5k—~894Automated safety check: PassMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
LLM Wikipraneybehl/llm-wiki-plugin118—~5.7kAutomated safety check: PassMIT
Obsidian Vault Ingest Pipelinejason-effi-lab/karpathy-llm-wiki-vault721—~669Automated safety check: PassNone
LLM WikiCharlesHoskinson/sevenlayer116—~1.5kAutomated safety check: PassCustom licence
My WikiNimaChu/my-wiki124—~674Automated safety check: PassMIT

Similar skills

  • LLM Wiki

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  • LLM Wiki

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    116 GitHub stars~1.5k tokensUpdated 1 mo ago
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    NimaChu/my-wiki

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  • Knowledge Base Health Lint

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Works with

Questions about Minutes Ingest

What does Minutes Ingest do?

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Minutes Ingest is an agent skill from silverstein/minutes. Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index.

When should I use Minutes Ingest?

Minutes Ingest fits situations like: the user asks ingest my meetings; update my knowledge base; extract facts from meetings; sync meetings to wiki.

How do I install Minutes Ingest in Claude Code?

Run `npx skills add silverstein/minutes --skill minutes-ingest -a claude-code`. Or copy the skill folder (.opencode/skills/minutes-ingest in silverstein/minutes) into .claude/skills/minutes-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Minutes Ingest in Codex?

Run `npx skills add silverstein/minutes --skill minutes-ingest -a codex`. Or copy the skill folder (.opencode/skills/minutes-ingest in silverstein/minutes) into .agents/skills/minutes-ingest in your project. Codex loads it when a task matches its description.

Can I use Minutes Ingest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add silverstein/minutes --skill minutes-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/minutes-ingest, .gemini/skills/minutes-ingest, .github/skills/minutes-ingest and .opencode/skills/minutes-ingest in your project.

What does Minutes Ingest need to run?

SKILL.md names no scripts, command-line tools or credentials: Minutes Ingest is instructions for the agent only. Compatibility (from SKILL.md): opencode.

Does Minutes Ingest access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Minutes Ingest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Minutes Ingest use?

Minutes Ingest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Minutes Ingest use?

About 894 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Minutes Ingest?

Skills that share tags, products or a category with Minutes Ingest: LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), LLM Wiki (praneybehl/llm-wiki-plugin, 118 stars), Obsidian Vault Ingest Pipeline (jason-effi-lab/karpathy-llm-wiki-vault, 721 stars) and LLM Wiki (CharlesHoskinson/sevenlayer, 116 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Minutes Ingest?

silverstein (a GitHub user) maintains it in silverstein/minutes, which has 1,542 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 8, 2026.

Source: silverstein/minutes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.