Outlook Contacts logo

Outlook Contacts

Community
win4r
outlook_contacts

List, search, create, update, and delete contacts in the user's Outlook account.

Overview

Publisherwin4r
RepositoryMuseAI-Skills
Skill nameoutlook_contacts
Stars
382
Forks
116
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by win4r on GitHub. Read the source before you install it.

Installation

Install the Outlook Contacts 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.
    https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/outlook-contacts
  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/win4r/MuseAI-Skills.git /tmp/MuseAI-Skills
mkdir -p .claude/skills
cp -r /tmp/MuseAI-Skills/opt/hatch/skills/outlook-contacts .claude/skills/outlook_contacts
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Outlook Contacts 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 Outlook Contacts 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 Outlook Contacts 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.

Outlook Contacts

Purpose

Manage Outlook contacts with a local helper CLI so the prompt stays concise.

Tooling

Use:

sh
outlook-contacts <subcommand> [options]

Core subcommands:

  • disconnect
  • list [--page-size 10] [--page-token <token>]
  • get "AAMkAD..."
  • search "alice smith" --page-size 10
  • create --given-name "Alice" --family-name "Smith" --email alice@example.com --phone "+15551234567"
  • update "AAMkAD..." --given-name "Alice" --email newalice@example.com
  • delete "AAMkAD..."

Common option:

  • --timeout-secs N (default 30)

Use --page-size for result count. --top, --limit, and --max-results are compatibility aliases only; do not use them in new commands.

JSON output contract:

  • disconnect: parse ok, action, status, and disconnect_url
  • list / search: parse ok, count, next_page_token (when present, pass back as --page-token), total_people, and contacts[].resource_name, contacts[].display_name, contacts[].emails, contacts[].phones
  • get: parse ok and contact.resource_name, contact.display_name, contact.emails, contact.phones, contact.organization, contact.title
  • create / update / delete: parse ok, action, resource_name

Auth

This skill depends on an Outlook connector managed by outlook-contacts.

Use:

sh
outlook-contacts --status

Rules:

  • For connect or reconnect, replace <connect_url> with the returned URL and share exactly this Markdown link: [Connect Outlook Contacts](<connect_url>); do not paste the raw URL separately.
  • For disconnect, run outlook-contacts disconnect. When disconnect_url is present, replace <disconnect_url> with the returned URL and share exactly this Markdown link: [Disconnect Outlook Contacts](<disconnect_url>); do not paste the raw URL separately. If absent, say the connector is already disconnected.
  • never use a shared connector helper CLI for Outlook Contacts
  • do not hand-author token files or guess connector state; rely on outlook-contacts --status

Operating Rules

  1. Use search for finding contacts by name, email, or phone number.
  2. Use list for browsing contacts with pagination via --page-token (skip value).
  3. Contact IDs are opaque Graph strings (for example AAMkAD...); use the exact value from list or search.
  4. create, update, and delete may proceed from a clear, unambiguous user request without an additional confirmation.
  5. When updating a contact, only the specified fields change; unspecified fields keep their existing values.
  6. If the CLI reports an auth error, re-check outlook-contacts --status and guide the user through reconnecting.
  7. Never print connector secrets or dump raw contact payloads unless the user explicitly asks for them.
  8. Never surface raw Graph identifiers (contact ids like AAMkAD...) or other internal response fields (change keys, page/skip tokens, raw JSON) in text shown to the user — including in summaries, lists, or per-item annotations. Reuse the ids only internally to chain follow-up commands (rule 3). The sole exceptions are when the user explicitly asks for a raw id or you must show one to troubleshoot a failure.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Outlook Contacts AI skill do?

List, search, create, update, and delete contacts in the user's Outlook account.

Why use Outlook Contacts on TypingMind?

Because you install it once and use it with any model. Outlook Contacts 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 Outlook Contacts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/outlook-contacts. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Outlook Contacts?

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 Outlook Contacts?

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

Is the Outlook Contacts AI skill free?

It is published on GitHub by win4r. Check the repository for licensing terms. 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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