Ops Resume

Organization

Lifecycle-Innovations-Limited

ops-resume

OPS on-demand: This skill should be used when the user asks to "resume sessions", "reopen ghostty…

Overview

Publisher	Lifecycle-Innovations-Limited
Repository	`claude-ops`
Skill name	`ops-resume`
Stars	543
Forks	64
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the Ops Resume 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/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-resume
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-resume

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/ops-resume .claude/skills/ops-resume

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

Use it in TypingMind

Enable Ops 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 Ops 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 Ops 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.

ops-resume

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Reopen recently-closed Claude Code sessions — one session per Ghostty tab.

For every recent session transcript under ~/.claude/projects, the helper opens a new Ghostty tab (cmd+t) and types cd <cwd> && claude --resume <sessionId>, so each session resumes in its own tab from whatever directory or repo it was running in.

Default: every session touched in the last 60 minutes, from any directory.

Platform: macOS + Ghostty only. Tabs are driven via AppleScript System Events, so Accessibility permission must be granted to the terminal running this.

How it works

Scans ~/.claude/projects/**/*.jsonl and keeps files whose mtime is inside the lookback window (default 60 min) but older than OPS_RESUME_MIN_AGE_SEC (default 45s — so the session you are currently in is not reopened).
Keeps only real interactive sessions (UUID filenames); skips subagent transcripts (agent-*), workflow journals, and empty/junk sessions.
Reads each session's original cwd from the transcript.
For each, opens a fresh Ghostty tab and resumes the session there.

Usage

Run the bundled helper. Pass through any flags the user gave ($ARGUMENTS).

Always preview first with --dry-run, show the user the list, and — unless they clearly asked to "just open them" — confirm before opening real tabs (opening many tabs is hard to undo).

bash
# Preview what would be resumed
${CLAUDE_PLUGIN_ROOT}/bin/ops-resume --dry-run $ARGUMENTS

bash
# Actually open the tabs
${CLAUDE_PLUGIN_ROOT}/bin/ops-resume $ARGUMENTS

Flags

Flag	Meaning
`-m, --minutes N`	Lookback window in minutes (default 60)
`-H, --hours N`	Lookback window in hours
`-n, --max N`	Cap number of tabs (default 20, newest first)
`--here`	Only sessions whose `cwd` == current directory
`--dry-run`	List matches, open nothing

Env overrides

OPS_RESUME_MINUTES (60) — lookback window
OPS_RESUME_MAX (20) — safety cap on tabs
OPS_RESUME_MIN_AGE_SEC (45) — skip sessions touched more recently than this

Reporting

After running, report concisely: how many sessions matched, how many tabs were opened, and any that were capped/skipped. If --dry-run, just show the list and ask whether to open them for real.

Frequently asked questions

What does the Ops Resume AI skill do?

OPS on-demand: This skill should be used when the user asks to "resume sessions", "reopen ghostty…

Why use Ops Resume on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-resume. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ops 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 Ops Resume?

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

Is the Ops Resume AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited 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

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ops-resume

How it works

Usage

Flags

Env overrides

Reporting

Frequently asked questions

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