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Hermes Wag Summarizer

Community
julianromli
hermes-wag-summarizer

Plug & play skill untuk membuat cronjob summary grup WhatsApp secara otomatis menggunakan Hermes WhatsApp Bridge.

Overview

Publisherjulianromli
Repositoryai-skills
Skill namehermes-wag-summarizer
Stars
189
Forks
28
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by julianromli on GitHub. Read the source before you install it.

Installation

Install the Hermes Wag Summarizer 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.
  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/julianromli/ai-skills.git /tmp/ai-skills
mkdir -p .claude/skills
cp -r /tmp/ai-skills/hermes-wag-summarizer .claude/skills/hermes-wag-summarizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hermes Wag Summarizer 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 Hermes Wag Summarizer 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 Hermes Wag Summarizer 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.

Hermes WAG Summarizer

Skill ini menyediakan solusi lengkap dan plug & play untuk membuat cronjob yang secara otomatis merangkum percakapan grup WhatsApp.

Tujuan Skill

  • Memberikan cara paling sederhana untuk user Hermes baru agar bisa langsung punya fitur summary grup WhatsApp.
  • Menjadi single source of truth untuk semua hal terkait WhatsApp Group Summarizer.
  • Mendukung multiple grup dengan konfigurasi terpisah.
  • Default delivery ke grup WhatsApp yang sama.

Fitur Utama

  • Setup summary grup dalam hitungan menit
  • Support multiple grup WhatsApp
  • Prompt yang sudah dioptimalkan untuk WhatsApp
  • Struktur output yang konsisten dan enak dibaca
  • Auto [SILENT] ketika tidak ada aktivitas
  • Panduan troubleshooting lengkap

Cara Menggunakan (Plug & Play)

1. Install Skill

bash
hermes skills install hermes-wag-summarizer

2. Buat Wrapper untuk Grup Baru

Gunakan script helper untuk membuat wrapper script baru:

bash
python3 ~/.hermes/skills/hermes-wag-summarizer/scripts/create-group-wrapper.py \
  --chat-id "120363402262217562@g.us" \
  --group-name "VibeDev ID" \
  --hours 12

Script ini akan otomatis membuat:

  • Wrapper script di ~/.hermes/scripts/
  • Entry di tabel konfigurasi

3. Buat Cronjob

bash
hermes cron create \
  --name "VibeDev ID Summary" \
  --script "~/.hermes/scripts/vibedev-id-summary.py" \
  --schedule "0 5,17 * * *" \
  --deliver "whatsapp:120363402262217562@g.us"

4. (Opsional) Custom Prompt

Jika ingin mengubah gaya ringkasan, edit file prompt:

bash
~/.hermes/skills/hermes-wag-summarizer/prompts/default-summary-prompt.txt

Lalu arahkan cronjob ke prompt tersebut.

Struktur Output yang Direkomendasikan

*Ringkasan VibeDev ID (12 jam terakhir)*

*Topik yang Dibahas:*
• ...

*Highlight Penting:*
• ...

*Pertanyaan yang Masih Terbuka:*
• ...

*Link / Resource:*
• ...

Konfigurasi Default

PengaturanNilai DefaultKeterangan
Window12 jamBisa diubah per grup
DeliveryKe grup yang samaKecuali explicit minta ke tempat lain
FormatMarkdown WhatsApp*teks* untuk bold
Empty Window[SILENT]Tidak spam grup
Schedule0 5,17 * * *05:00 & 17:00 UTC

File yang Disertakan

  • scripts/whatsapp-group-summary.py — Parser utama
  • scripts/create-group-wrapper.py — Helper membuat wrapper baru
  • prompts/default-summary-prompt.txt — Prompt default yang sudah dioptimalkan
  • examples/ — Contoh konfigurasi cronjob

Catatan Penting

  • Skill ini hanya untuk summary. Untuk moderation atau analytics, gunakan skill terpisah.
  • Pastikan WhatsApp Bridge sudah berjalan dan messages.jsonl aktif.
  • Untuk troubleshooting bridge yang "deaf", gunakan skill whatsapp-bridge-watchdog.

Maintenance

Setelah menambah atau mengubah grup, update bagian Live Inventory di skill ini agar tetap menjadi single source of truth.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hermes Wag Summarizer AI skill do?

Plug & play skill untuk membuat cronjob summary grup WhatsApp secara otomatis menggunakan Hermes WhatsApp Bridge.

Why use Hermes Wag Summarizer on TypingMind?

Because you install it once and use it with any model. Hermes Wag Summarizer 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 Hermes Wag Summarizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/julianromli/ai-skills/tree/main/hermes-wag-summarizer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hermes Wag Summarizer?

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 Hermes Wag Summarizer?

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

Is the Hermes Wag Summarizer AI skill free?

It is published on GitHub by julianromli. Check the repository for licensing terms. 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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