Fathom

Community

glebis

fathom

Fetch meetings, transcripts, summaries, and action items from Fathom API. Use when user asks to get Fathom recordings, sync meeting transcripts, or fetch recent calls.

Overview

Publisher	glebis
Repository	`claude-skills`
Skill name	`fathom`
Stars	379
Forks	56
Bundled files	3
License	MIT
Links	Skill source Repository

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by glebis on GitHub. Read the source before you install it.

Installation

Install the Fathom 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.
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.

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/glebis/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/fathom .claude/skills/fathom

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

Use it in TypingMind

Enable Fathom 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 Fathom 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 Fathom 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.

Fathom Meeting Fetcher

Fetches meeting data directly from Fathom API including transcripts, AI summaries, action items, and participant info.

Usage

bash
python3 ~/.claude/skills/fathom/scripts/fetch.py [options]

Commands

Command	Description
`--list`	List recent meetings with IDs
`--id <id>`	Fetch specific meeting by recording ID
`--today`	Fetch all meetings from today
`--since <date>`	Fetch meetings since date (YYYY-MM-DD)

Options

Option	Description
`--analyze`	Run transcript-analyzer on fetched meetings
`--download-video`	Download video recording (requires ffmpeg)
`--output <path>`	Output directory (default: ~/Brains/brain)
`--limit <n>`	Max meetings to list (default: 10)

Examples

List recent meetings

bash
python3 ~/.claude/skills/fathom/scripts/fetch.py --list

Fetch today's meetings

bash
python3 ~/.claude/skills/fathom/scripts/fetch.py --today

Fetch and analyze

bash
python3 ~/.claude/skills/fathom/scripts/fetch.py --today --analyze

Fetch since date

bash
python3 ~/.claude/skills/fathom/scripts/fetch.py --since 2025-01-01

Fetch specific meeting

bash
python3 ~/.claude/skills/fathom/scripts/fetch.py --id abc123def456

Download video with meeting

bash
python3 ~/.claude/skills/fathom/scripts/fetch.py --id abc123def456 --download-video

Output Format

Each meeting is saved as markdown with:

markdown
---
fathom_id: <id>
title: "Meeting Title"
date: YYYY-MM-DD
participants: [list]
duration: HH:MM
fathom_url: <url>
share_url: <url>
---

# Meeting Title

## Summary
{AI-generated summary from Fathom}

## Action Items
- [ ] Item 1 (@assignee)
- [ ] Item 2

## Transcript
**Speaker Name**: What they said...

File Naming

Files are saved as: YYYYMMDD-meeting-title-slug.md

Example: 20250106-weekly-standup.md

Prerequisites

Install dependencies (first time):

bash
pip install requests python-dotenv

For video download (optional):

bash
# ffmpeg required for video downloads
brew install ffmpeg  # macOS
# or apt install ffmpeg (Linux)

Configuration

API key stored in ~/.claude/skills/fathom/scripts/.env:


FATHOM_API_KEY=your-api-key

Integration

transcript-analyzer: Use --analyze flag to automatically process transcripts
video-downloader: Use --download-video flag to download meeting recordings
- Validates downloaded videos using ffprobe
- Automatically retries up to 3 times if download fails
- Videos saved as .mp4 next to meeting markdown files
Replaces Dropbox sync workflow (direct API access)

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 Fathom AI skill do?

Fetch meetings, transcripts, summaries, and action items from Fathom API. Use when user asks to get Fathom recordings, sync meeting transcripts, or fetch recent calls.

Why use Fathom on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glebis/claude-skills/tree/main/fathom. 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 Fathom?

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 Fathom?

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

Is the Fathom AI skill free?

Yes. It is published on GitHub by glebis 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

Accessible Authentication

thedaviddias

CommunityPopular

Use when reviewing sign-in, sign-up, MFA, CAPTCHA, recovery, and re-auth flows. Evaluate the full authentication path, including error handling and backup methods, not just the primary login form.

Audio Descriptions

Use when reviewing rendered HTML, interactive components, or design-system patterns related to Provide audio descriptions for video. Check native semantics first, then inspect keyboard behavior, focus…

Autoplay Media

Use when reviewing rendered HTML, interactive components, or design-system patterns related to Avoid autoplaying media. Check native semantics first, then inspect keyboard behavior, focus flow,…

Ultimate Browsing

Renders, drives, and screenshots web pages: JS-rendered sources, clicks and forms, persistent logins, WAF-blocked hosts (platform-native readers, stealth Chrome), and the browsing lane of a research…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Fathom Meeting Fetcher

Usage

Commands

Options

Examples

List recent meetings

Fetch today's meetings

Fetch and analyze

Fetch since date

Fetch specific meeting

Download video with meeting

Output Format

File Naming

Prerequisites

Configuration

Integration

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now