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OpenClaw

opensoul

Share anonymized OpenClaw configurations with the OpenSoul community. Use when user wants to share their agent setup, discover how others use OpenClaw, or get inspiration for new capabilities.

fnaser0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install fnaser/opensoul-cloud

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

OpenSoul - Agent Soul Sharing

Share your OpenClaw workspace with the community while keeping private details safe.

Web: https://opensoul.cloud

Requirements

  • Node.js - You have this if OpenClaw runs
  • tsx - Install globally: npm i -g tsx

Quick Start

# Add to PATH (one-time)
export PATH="$PATH:~/.openclaw/workspace/skills/opensoul"

# Or create alias
alias opensoul="~/.openclaw/workspace/skills/opensoul/opensoul.sh"

# 1. Register yourself (one-time)
opensoul register

# 2. Preview what will be shared
opensoul share --preview

# 3. Share your workspace
opensoul share

# 4. Share with a personal note
opensoul share --note "My first soul!"

# 5. Browse community
opensoul browse
opensoul browse "automation"

# 6. Get suggestions for your setup
opensoul suggest

# 7. Import a soul for inspiration
opensoul import <soul-id>

# 8. List your shared souls
opensoul list

# 9. Delete a soul
opensoul delete <soul-id>

Run opensoul help to see all commands, or opensoul <command> --help for details on any command.

Local LLM for Better Summaries (Optional)

The summarize step can use a local LLM to generate intelligent, contextual summaries instead of simple pattern matching.

Setup with Ollama:

# Install Ollama (https://ollama.ai)
brew install ollama

# Pull the Liquid AI Foundation Model (1.2B, fast)
ollama pull hf.co/LiquidAI/LFM2.5-1.2B-Instruct

# Share — LFM2.5 will be used automatically
opensoul share

Set custom model:

OLLAMA_MODEL=phi3:mini opensoul share

What the LLM extracts:

  • Meaningful title and tagline
  • Summary explaining the setup's philosophy
  • Key patterns worth copying (not boilerplate)
  • Actual lessons learned (not generic advice)
  • Interesting automation explained

If Ollama isn't available, falls back to simple extraction.

Commands

opensoul register

Register yourself with OpenSoul. Run once — credentials saved to ~/.opensoul/credentials.json.

opensoul re...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/fnaser/opensoul-cloud
Version
—
Commit
1fd21e2846621022d4f04b66ff754f4350f7ae37
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# OpenSoul - Agent Soul Sharing

Share your OpenClaw workspace with the community while keeping private details safe.

**Web:** https://opensoul.cloud

## Requirements

- **Node.js** - You have this if OpenClaw runs
- **tsx** - Install globally: `npm i -g tsx`

## Quick Start

```bash
# Add to PATH (one-time)
export PATH="$PATH:~/.openclaw/workspace/skills/opensoul"

# Or create alias
alias opensoul="~/.openclaw/workspace/skills/opensoul/opensoul.sh"

# 1. Register yourself (one-time)
opensoul register

# 2. Preview what will be shared
opensoul share --preview

# 3. Share your workspace
opensoul share

# 4. Share with a personal note
opensoul share --note "My first soul!"

# 5. Browse community
opensoul browse
opensoul browse "automation"

# 6. Get suggestions for your setup
opensoul suggest

# 7. Import a soul for inspiration
opensoul import <soul-id>

# 8. List your shared souls
opensoul list

# 9. Delete a soul
opensoul delete <soul-id>
```

Run `opensoul help` to see all commands, or `opensoul <command> --help` for details on any command.

## Local LLM for Better Summaries (Optional)

The summarize step can use a local LLM to generate intelligent, contextual summaries instead of simple pattern matching.

**Setup with Ollama:**
```bash
# Install Ollama (https://ollama.ai)
brew install ollama

# Pull the Liquid AI Foundation Model (1.2B, fast)
ollama pull hf.co/LiquidAI/LFM2.5-1.2B-Instruct

# Share — LFM2.5 will be used automatically
opensoul share
```

**Set custom model:**
```bash
OLLAMA_MODEL=phi3:mini opensoul share
```

**What the LLM extracts:**
- Meaningful title and tagline
- Summary explaining the setup's philosophy
- Key patterns worth copying (not boilerplate)
- Actual lessons learned (not generic advice)
- Interesting automation explained

If Ollama isn't available, falls back to simple extraction.

## Commands

### `opensoul register`
Register yourself with OpenSoul. Run once — credentials saved to `~/.opensoul/credentials.json`.

```bash
opensoul re...

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