Video Memory

Community

oxbshw

video-memory

The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a question that spans several videos. Use this to search and answer from the persistent cross-video index instead of saying you don't remember.

Overview

Publisher	oxbshw
Repository	`watch-skill`
Skill name	`video-memory`
Stars	518
Forks	72
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 oxbshw on GitHub. Read the source before you install it.

Installation

Install the Video Memory 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/oxbshw/watch-skill/tree/main/skills/video-memory
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/oxbshw/watch-skill.git /tmp/watch-skill
mkdir -p .claude/skills
cp -r /tmp/watch-skill/skills/video-memory .claude/skills/video-memory

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

Use it in TypingMind

Enable Video Memory 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 Video Memory 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 Video Memory 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.

Video memory

Every video ever watched on this machine is still here — frames, OCR, transcripts, and past answers, in one persistent index under ~/.watch-skill/. You never have to say "I don't remember that video." Sessions don't expire it; watching more videos makes it more useful.

What's in the library?

bash
watch-skill list

Every indexed video: id, title, duration, when it was analyzed. Check here before watching anything — it may already be in memory from a previous session.

Find something across all of it

bash
watch-skill search "<phrase or keywords>"

Hybrid keyword + semantic search across every video, any language (Arabic folding, CJK and Thai segmentation are handled). Hits come back with video + timestamp; follow up on a hit with:

bash
watch-skill ask <video_id> "<the user's actual question>"
watch-skill ask <video_id> "what is on screen at <timestamp>?"

Questions that span videos

"What did we decide about the pricing page across those meetings?" — questions no single video answers go to the library synthesizer:

bash
watch-skill library ask "<the question>"

It answers from distilled notes across every indexed video, drills into real evidence, and cites video + timestamp for each finding. When it says the library does not clearly answer, trust that — do not stitch a guess together from weak search hits. watch-skill library overview shows what the library knows (videos, note counts, entities recurring across videos).

For "which video showed X" (locate, not synthesize), plain search is the right tool; then ask the hit video.

Batches build memory fast

A playlist or a folder of recordings goes in as one call — watch-skill batch "<playlist-or-folder>" — and the whole set becomes searchable memory (see watching-videos).

Frequently asked questions

What does the Video Memory AI skill do?

Why use Video Memory on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oxbshw/watch-skill/tree/main/skills/video-memory. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Video Memory?

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 Video Memory?

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

Is the Video Memory AI skill free?

Yes. It is published on GitHub by oxbshw 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Video memory

What's in the library?

Find something across all of it

Questions that span videos

Batches build memory fast

Frequently asked questions

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