Vellum Conversation Management

OrganizationPopular

vellum-ai

vellum-conversation-management

Manage conversation threads (rename, list, search, export)

Overview

Publisher	vellum-ai
Repository	`vellum-assistant`
Skill name	`vellum-conversation-management`
Stars	1.4K
Forks	208
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 vellum-ai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-conversation-management
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-conversation-management

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/skills/vellum-conversation-management .claude/skills/vellum-conversation-management

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vellum Conversation Management 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 Vellum Conversation Management 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 Vellum Conversation Management 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.

Tools for managing conversation threads via the assistant conversations CLI.

Renaming

Rename the current conversation thread when:

The topic has shifted significantly from the original title
The auto-generated title is generic or unhelpful
The user explicitly asks to rename the thread

Keep titles concise (under 60 characters) and descriptive of the current topic.

bash
assistant conversations rename <conversationId> "<new title>"

Listing

List all conversations with their IDs and titles:

bash
assistant conversations list

Searching

Search conversation titles and message content. Quote multi-word terms. Archived conversations are excluded, matching assistant conversations list.

bash
assistant conversations search "project planning"
assistant conversations search flux --limit 5
assistant conversations search "quarterly metrics" --json

Exporting

Export a conversation as markdown or JSON:

bash
assistant conversations export [conversationId] [--format md|json] [-o file]

Frequently asked questions

What does the Vellum Conversation Management AI skill do?

Manage conversation threads (rename, list, search, export)

Why use Vellum Conversation Management on TypingMind?

Because you install it once and use it with any model. Vellum Conversation Management 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 Vellum Conversation Management in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-conversation-management. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vellum Conversation Management?

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 Vellum Conversation Management?

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

Is the Vellum Conversation Management AI skill free?

Yes. It is published on GitHub by vellum-ai 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.

View all

Gstack Openclaw Ceo Review

garrytan

CommunityPopular

Use when asked to review a plan, challenge a proposal, run a CEO review, poke holes in an approach, think bigger about scope, or decide whether to expand or reduce the plan.

Caveman Stats

Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.

Ci Metrics

Query PyTorch CI, GitHub Actions, HUD, Grafana, and infrastructure metrics. Use when users ask about CI duration, job failures, queue times, workflow trends, runner health, dashboard data, or PyTorch…

Notcrawl

Notion archive: search, sync freshness, pages/databases, Markdown exports, SQL counts, and Notcrawl repo work.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Renaming

Listing

Searching

Exporting

Frequently asked questions

Related AI Skills

Set up your own AI workspace now