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Pause And Resume

Community
dongshuyan
pause-and-resume

Cooperatively pause unfinished work in the current session, leave a precise continuation checkpoint, and resume from it when the user later says continue. Use only when the user explicitly requests this pause workflow. Do not use for crashes, app shutdown, new-session handoffs, or ordinary task summaries.

Overview

Publisherdongshuyan
Repositorycompass-skills
Skill namepause-and-resume
Stars
753
Forks
61
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 dongshuyan on GitHub. Read the source before you install it.

Installation

Install the Pause And Resume 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/dongshuyan/compass-skills/tree/master/skills/pause-and-resume
  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/dongshuyan/compass-skills.git /tmp/compass-skills
mkdir -p .claude/skills
cp -r /tmp/compass-skills/skills/pause-and-resume .claude/skills/pause-and-resume
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pause And Resume 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 Pause And Resume 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 Pause And Resume 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.

Pause and Resume

Keep this workflow in the current session. Store its state in the pause response; do not create files, commits, or new tasks solely to checkpoint it.

Pause

  1. Stop expanding the task. Do not begin another subtask, retry, or optional check.
  2. Let an already-started atomic action finish only when interruption would leave inconsistent state. Otherwise stop at the nearest safe boundary. Use only the smallest necessary read-only check or already-authorized cleanup to record an accurate, safe state.
  3. Preserve facts, not guesses. Distinguish completed, in progress, blocked, and unknown work. Record exact non-sensitive paths, parameters, job IDs, and receipts when they are needed to continue. Never expose secrets.
  4. If work continues independently, record its handle, observed status, and how to reconcile it. Do not cancel, restart, or dispatch it again merely to pause.
  5. End the turn with the compact checkpoint below, in the user's language. Keep the marker exact, omit irrelevant detail, and state explicitly when there is no known non-repeatable effect.
text
PAUSE_CHECKPOINT: ACTIVE
- Goal and done condition:
- Completed:
- Current stopping point:
- Remaining work:
- First action on resume:
- Do not repeat:
- Constraints and settled decisions:
- Live state, running work, and facts to recheck:

Finish with the equivalent of: Paused. When you return, say "continue". Then stop. Do not perform the first resume action in the pause turn.

If there is no unfinished task, say so and stop without emitting an active checkpoint.

Resume

When the user later asks to continue the paused work:

  1. Use the newest unconsumed PAUSE_CHECKPOINT: ACTIVE in this session. A checkpoint is consumed once substantive work has resumed from it. If none exists, interpret the request from the immediate conversation normally.
  2. Apply later user instructions over the checkpoint. Recheck only mutable or high-risk state that could have changed while paused, especially files, worktree state, running jobs, and external side effects.
  3. Reconcile recorded in-flight work before starting replacements. Never repeat an item under Do not repeat unless current evidence proves it did not occur and repeating it is authorized.
  4. Resume directly from First action on resume, then continue the recorded remaining work. Do not ask the user to restate known context or produce a new plan unless material drift makes a decision necessary.

This workflow cannot recover a killed process, missing conversation, or a different session; use a handoff or persistent checkpoint workflow for those cases.

Frequently asked questions

What does the Pause And Resume AI skill do?

Cooperatively pause unfinished work in the current session, leave a precise continuation checkpoint, and resume from it when the user later says continue. Use only when the user explicitly requests this pause workflow. Do not use for crashes, app shutdown, new-session handoffs, or ordinary task summaries.

Why use Pause And Resume on TypingMind?

Because you install it once and use it with any model. Pause And Resume 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 Pause And Resume in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dongshuyan/compass-skills/tree/master/skills/pause-and-resume. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pause And Resume?

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 Pause And Resume?

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

Is the Pause And Resume AI skill free?

Yes. It is published on GitHub by dongshuyan 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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