Resurface logo

Resurface

Organization
Fergana-Labs
resurface

Pick a few old saves worth revisiting now, and say why now.

Overview

PublisherFergana-Labs
Repositorystash
Skill nameresurface
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 Resurface 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/resurface
  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/resurface .claude/skills/resurface
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resurface 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 Resurface 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 Resurface 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.

Resurfacing old saves

The home feed already resurfaces saved items at random. Doing that again adds nothing. The whole value here is why now — the connection between something the user saved months ago and what they are doing this week.

If you cannot find that connection for an item, do not resurface it. Three items with a real reason beat ten without.

Find candidates

Old saves, from the Bookmarks table:

query_table(table_name="Bookmarks",
            filters=[{"column_id": "<Saved>", "op": "lte", "value": "<90 days ago>"}],
            limit=100)

Find the reason

This is the part a bookmark manager cannot do, and it is the only reason this skill is worth running. Look at what the user has actually been doing:

  • search_history / fetch_history — what they have been working on lately
  • recent saves — what they are reading about now
  • their memory wiki — standing interests

Then look for old saves that speak to it: an article they saved before a problem became relevant, a technique they bookmarked and never used, a counter-argument to a position they have since adopted.

Write it

Two to four items. For each:

  • What it is — one line, from its summary.
  • Why now — the specific connection, naming what they were doing. "You saved this in March; you spent this week on retry logic and it argues the opposite of the approach you took." Not "this might be relevant."
  • A link to the saved copy.

Say nothing else. No preamble, no encouragement to read more.

Rules

  • Never resurface something saved in the last month. It is not forgotten yet.
  • Never resurface the same item twice in a row; check whether a previous resurfacing page already names it.
  • If nothing has a real "why now", say "nothing from the archive connects to this week" and stop. That is the correct answer some weeks.

Frequently asked questions

What does the Resurface AI skill do?

Pick a few old saves worth revisiting now, and say why now.

Why use Resurface on TypingMind?

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

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

Which AI models can use Resurface?

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 Resurface?

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

Is the Resurface 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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