TypingMindTypingMindThe best frontend for AI
Sharing Results logo

Sharing Results

Community
oxbshw
sharing-results

The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share", "export the findings", "give me something I can attach to the ticket". Use this to render a self-contained offline HTML viewer page with the frames, transcript, and every cached answer with its evidence.

Overview

Publisheroxbshw
Repositorywatch-skill
Skill namesharing-results
Stars
518
Forks
72
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Sharing Results 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/oxbshw/watch-skill/tree/main/skills/sharing-results
  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/oxbshw/watch-skill.git /tmp/watch-skill
mkdir -p .claude/skills
cp -r /tmp/watch-skill/skills/sharing-results .claude/skills/sharing-results
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sharing Results 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 Sharing Results 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 Sharing Results 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.

Sharing results

An analysis that lives only in this chat dies with it. The viewer turns an analyzed video into a single HTML file anyone can open — no server, no internet, no Watch Skill install on the other end.

Generate the page

bash
watch-skill viewer <video_id-or-source> [-o <path>]

The file contains, self-contained (frames inlined as data URIs, zero external requests):

  • a timeline with key-frame cards and timestamps,
  • the transcript and all on-screen text (OCR),
  • every question asked about the video so far, with its answer, confidence badge, and the exact timestamped evidence cited.

Answer questions FIRST, then generate. The page includes cached answers, so ask what the user cares about before rendering — a viewer generated before any questions holds only frames and transcript.

Hand-off patterns

  • Bug ticket: run watch-skill extract bug-report first, then the viewer — the ticket gets the structured report, the viewer link gives reviewers the evidence.
  • Review request: send the file itself (it is one .html, typically well under a few hundred KB); it opens in any browser, RTL text renders correctly, nothing phones home.

Frequently asked questions

What does the Sharing Results AI skill do?

The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share", "export the findings", "give me something I can attach to the ticket". Use this to render a self-contained offline HTML viewer page with the frames, transcript, and every cached answer with its evidence.

Why use Sharing Results on TypingMind?

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

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

Which AI models can use Sharing Results?

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 Sharing Results?

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

Is the Sharing Results 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.

Related AI Skills

View all
NousResearch logo

Draw Your Font

NousResearch
OrganizationPopular

Turn a handwriting photo into an installable TTF font.

53.5K
250.4K
1 files
View
NousResearch logo

Adversarial Ux Test

NousResearch
OrganizationPopular

Roleplay a hostile user to find and triage UX pain points.

53.5K
250.4K
Instructions
View
NousResearch logo

3 Statement Model

NousResearch
OrganizationPopular

Build integrated IS/BS/CF financial workbooks in Excel.

53.5K
250.4K
3 files
View
NousResearch logo

Comps Analysis

NousResearch
OrganizationPopular

Build comparable-company valuation workbooks in Excel.

53.5K
250.4K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇