Ds Catchup

Community

aicodeking

ds-catchup

Give the user a short plain-language catch-up on what changed since their last message, followed by every decision still waiting on them. Use when the user returns after a long or unattended run, asks 'where are we', 'what did I miss', or types /ds-catchup.

Overview

Publisher	aicodeking
Repository	`deepseek-stack`
Skill name	`ds-catchup`
Stars	131
Forks	30
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by aicodeking on GitHub. Read the source before you install it.

Installation

Install the Ds Catchup 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/aicodeking/deepseek-stack/tree/main/skills/ds-catchup
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/aicodeking/deepseek-stack.git /tmp/deepseek-stack
mkdir -p .claude/skills
cp -r /tmp/deepseek-stack/skills/ds-catchup .claude/skills/ds-catchup

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

Use it in TypingMind

Enable Ds Catchup 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 Ds Catchup 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 Ds Catchup 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.

ds-catchup

Bring the user back up to speed in a minute, and hand them every call only they can make.

Steps

Keep this turn read-only. Do not change code, start jobs or post anything.
Collect what happened since the user's last message: your own work, subagent reports, and messages from others. Tool notifications are not user messages.
Check the current state of anything touched: tests, branches, PRs, running jobs. Use fresh command output, not memory. Fix any number that does not match the source and say you fixed it.
Write what changed in under 100 words. Say what it means for the user, for example "the login bug is fixed and its test passes". Leave out hashes, paths and commands unless the user needs one to act.
List decisions waiting on the user. A decision is something only they can do: a product choice, an approval, an irreversible action, or access you lack. Include old ones still open. For each give: what it changes, the evidence, the risk, your recommendation, and "unknown" for missing facts.
If nothing waits on them, say so plainly.

Stop when

The catch-up and the decision list are written. One reply, no follow-up work.

Rules

Never invent a decision to fill the list.
Work you can still do yourself is not a decision for the user.
Name things the way the user would, not by internal labels.
Short sentences, no jargon.

Frequently asked questions

What does the Ds Catchup AI skill do?

Why use Ds Catchup on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aicodeking/deepseek-stack/tree/main/skills/ds-catchup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ds Catchup?

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 Ds Catchup?

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

Is the Ds Catchup AI skill free?

Yes. It is published on GitHub by aicodeking 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

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Use it in TypingMind

Works with any AI model

Skill instructions

ds-catchup

Steps

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Rules

Frequently asked questions

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