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Overview

Organization
Fergana-Labs
overview

Chart what's in the library — topics, sources, saves over time — and say what the shape means.

Overview

PublisherFergana-Labs
Repositorystash
Skill nameoverview
Stars
340
Forks
44
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Fergana-Labs on GitHub. Read the source before you install it.

Installation

Install the Overview 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/Fergana-Labs/stash/tree/main/docs/skills/overview
  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/Fergana-Labs/stash.git /tmp/stash
mkdir -p .claude/skills
cp -r /tmp/stash/docs/skills/overview .claude/skills/overview
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Overview 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 Overview 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 Overview 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.

Overview of a saved library

A chart on its own is decoration. Every chart here answers a question the user would otherwise have to ask, and you say the answer in words next to it.

Get the data

From the Bookmarks table via query_table. You need the whole table, not a page — read total from the first call and page with offset until you have it. Counting 100 of 4,000 saves and calling it a distribution is worse than not charting at all.

Columns you'll use: Saved (ISO date), Topics (array), Site, Type, Status.

The four that earn their place

  1. Saves over time — by week or month. Answers "am I still using this?" and shows bursts, which usually map to a project.
  2. Topics by volume — horizontal bars, biggest first. Answers "what am I actually collecting?" Cap at the top 12 and group the tail as "other"; a bar chart with 60 labels communicates nothing.
  3. Sources — top domains. Answers "where does my reading come from?" Often uncomfortable and therefore useful.
  4. Topic over time — the top few topics as lines. Answers "what am I moving toward, and what have I dropped?"

Skip any chart the data can't support. Fewer than ~20 saves, or fewer than three distinct topics, means the honest output is a sentence, not a chart.

Say what it means

Under each chart, one or two sentences of what it shows — the actual reading, not a caption. "Two thirds of your saves are from three domains" is worth writing. "This chart shows saves by domain" is not.

Close with what stands out across all four: a topic that stopped, a source that dominates, a burst that maps to something they were building.

Rules

  • Charts follow the repo's dataviz conventions. Render as an HTML page in the user's stash so they can keep it.
  • Label axes and units. Never a pie chart with more than five slices.
  • Say the corpus size and date range you charted, so the reader knows what they're looking at.

Frequently asked questions

What does the Overview AI skill do?

Chart what's in the library — topics, sources, saves over time — and say what the shape means.

Why use Overview on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Fergana-Labs/stash/tree/main/docs/skills/overview. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Overview?

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 Overview?

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

Is the Overview AI skill free?

Yes. It is published on GitHub by Fergana-Labs 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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