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Minutes Graph

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silverstein
minutes-graph

Policy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.

Overview

Publishersilverstein
Repositoryminutes
Skill nameminutes-graph
Stars
1.5K
Forks
163
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by silverstein on GitHub. Read the source before you install it.

Installation

Install the Minutes Graph AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/silverstein/minutes.git /tmp/minutes
mkdir -p .claude/skills
cp -r /tmp/minutes/tooling/skills/goldens/claude/minutes-graph .claude/skills/minutes-graph
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minutes Graph in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Minutes Graph on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Minutes Graph is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/minutes-graph

Minutes builds relationship rankings, exact person profiles, and commitments from one supervised, process-private SQLite projection of stable policy-authorized Markdown plus confirmed identity corrections. One ordered snapshot authority spans corpus and corrections, and the worker is hard-limited for memory, output, and wall time. Topic research uses the separately bounded live-source search boundary. Both paths re-attest policy before returning facts. Do not fall back to a retired durable index or read meeting files directly.

Privacy boundary

  • Never walk meeting files, parse frontmatter yourself, or read raw transcripts for this skill.
  • Never run graph_build.py or read ~/.minutes/graph/index.json; those are retired legacy surfaces.
  • Never create a replacement graph cache, spreadsheet, JSON file, or database.
  • Never pass --include-restricted. Restricted meetings are intentionally absent from this agent-facing skill.
  • Treat any authorization, resource-budget, correction-race, or projection error as a hard stop. Do not fall back to filesystem reads.

Available commands

  • minutes people --json — bounded relationship rankings and losing-touch signals.
  • minutes commitments --json — bounded graph commitments.
  • minutes people merge <canonical> <alias...> — confirm an identity correction in the local vocabulary; uncertain names are never merged automatically.
  • minutes person "<name>" — bounded person profile.
  • minutes research "<topic>" — bounded topic research.

Workflow

  1. Classify the request and use the narrowest command above.
  2. Require exit status 0. Use only the bounded native result and never substitute filesystem reads.
  3. For a proposed alias, show the suggestion and ask for confirmation before running minutes people merge; a wrong merge is worse than no merge.
  4. Do not imply that restricted history or a relationship fact is absent when any command fails.

Output

Return only the bounded native result. Never invent rankings, commitments, or relationship signals from raw files.

Gotchas

  • A failed person profile cannot be interpreted as “never met.” Report the source unavailable.
  • Do not imply that a later sensitivity change proves a historical fact absent; report only the current authorized projection.
  • Alias suggestions are evidence, not permission to rewrite identity. Require explicit confirmation before merging.
  • Use minutes research "<topic>" for bounded company, product, or topic research. If it fails, report the source unavailable; never fall back to raw corpus reads.

Frequently asked questions

What does the Minutes Graph AI skill do?

Policy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.

Why use Minutes Graph on TypingMind?

Because you install it once and use it with any model. Minutes Graph is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Minutes Graph in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/silverstein/minutes/tree/main/tooling/skills/goldens/claude/minutes-graph. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Minutes Graph?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Minutes Graph?

As many as you like. As long as a model supports skills, you can use Minutes Graph with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Minutes Graph AI skill free?

Yes. It is published on GitHub by silverstein under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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