Background Agent Pings

Community

vibeeval

background-agent-pings

Overview

Publisher	vibeeval
Repository	`vibecosystem`
Skill name	`background-agent-pings`
Stars	541
Forks	44
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 vibeeval on GitHub. Read the source before you install it.

Installation

Install the Background Agent Pings 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/vibeeval/vibecosystem/tree/main/skills/background-agent-pings
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/vibeeval/vibecosystem.git /tmp/vibecosystem
mkdir -p .claude/skills
cp -r /tmp/vibecosystem/skills/background-agent-pings .claude/skills/background-agent-pings

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

Use it in TypingMind

Enable Background Agent Pings 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 Background Agent Pings 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 Background Agent Pings 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.

Background Agent Pings

Trust system reminders as agent progress notifications. Don't poll.

Pattern

When you launch a background agent, continue working on other tasks. The system will notify you via reminders when:

Agent makes progress: Agent <id> progress: X new tools used, Y new tokens
Agent writes output file (check the path you specified)

DO


1. Task(run_in_background=true, prompt="... Output to: .claude/cache/agents/<type>/output.md")
2. Continue with next task immediately
3. When system reminder shows agent activity, check if output file exists
4. Read output file only when agent signals completion

DON'T


# BAD: Polling wastes tokens and time
Task(run_in_background=true)
Bash("sleep 5 && ls ...")  # polling
Bash("tail /tmp/claude/.../tasks/<id>.output")  # polling
TaskOutput(task_id="...")  # floods context

Why This Matters

Polling burns tokens on repeated checks
TaskOutput floods main context with full agent transcript
System reminders are free - they're pushed to you automatically
Continue productive work while waiting

Source

This session: Realized polling for agent output wasted time when system reminders already provide progress updates

Frequently asked questions

What does the Background Agent Pings AI skill do?

Background Agent Pings

Why use Background Agent Pings on TypingMind?

Because you install it once and use it with any model. Background Agent Pings 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 Background Agent Pings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vibeeval/vibecosystem/tree/main/skills/background-agent-pings. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Background Agent Pings?

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 Background Agent Pings?

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

Is the Background Agent Pings AI skill free?

Yes. It is published on GitHub by vibeeval 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

Background Agent Pings

Pattern

DO

DON'T

Why This Matters

Source

Frequently asked questions

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