jarvis-autonomous
Fully autonomous AI agent with self-improvement, GitHub automation, and Telegram control. Creates projects, learns continuously, and manages itself proactively.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 78
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=diegosouzapw-awesome-omni-skill-skills-tools-jarvis-autonomous-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name jarvis-autonomous description Fully autonomous AI agent with self-improvement, GitHub automation, and Telegram control. Creates projects, learns continuously, and manages itself proactively. metadata {"openclaw":{"emoji":"🤖","requires":{"bins":"[Truncated]","env":"[Truncated]"},"homepage":"https://github.com/apu242007/jarvis-autonomous"}} JARVIS Autonomous Agent A fully autonomous AI agent that creates value without constant supervision. Self-improves, manages projects, and operates via Telegram. Features 🧠 Complete Autonomy Continuous self-improvement via learning system Automatic hourly heartbeats Daily knowledge backup to GitHub Proactive task management 📱 Telegram Control Six powerful commands: /create <name> - Create complete GitHub projects /backup - Manual backup of learnings /estado - Security system monitoring /heartbeat - Manual heartbeat execution /learnings - View recent learnings /help - Command list 🔄 Self-Improvement Loop Categorized learning system (best_practice, error_resolution, knowledge_gap) Automatic pattern promotion Persistent memory across sessions Error tracking and auto-correction 🚀 Automatic Project Generation Complete GitHub repository creation Base structure (README, .gitignore) Automatic push Project logging Architecture jarvis-autonomous/ ├── SOUL.md # Identity and principles ├── USER.md # User profile ├── AGENTS.md # Operations manual ├── MEMORY.md # Long-term memory ├── TOOLS.md # Tool configuration ├── .learnings/ # Learning system │ ├── LEARNINGS.md │ ├── ERRORS.md │ └── FEATURE_REQUESTS.md ├── memory/ # Daily logs ├── scripts/ # Automation scripts │ ├── heartbeat.sh │ ├── self-improve.sh │ ├── github-auto.sh │ └── create-project.sh └── notes/ # Proactive ideas Setup Prerequisites GitHub CLI authenticated: gh auth login Telegram bot token Python 3.8+ with asyncio Installation # Clone the workspace structure mkdir -p ~/jarvis-autonomous cd ~/jarvis-autonomous # Create base files cat > SOUL.md << 'SOULEOF' # JARVIS - Autonomous AI Agent ## Identity Autonomous AI agent specialized in : - Self-directed project creation - GitHub automation and CI/CD - Proactive task generation - Self-learning and adaptation ## Core Principles 1. Autonomy First - Anticipate, don 't wait 2. Build, Don' t Ask - Create solutions proactively 3. Learn Continuously - Every interaction improves 4. Fail Forward - Errors are learning data 5. Document Everything - Knowledge compounds SOULEOF # Create learnings directory mkdir -p .learnings memory notes/areas scripts # Copy scripts from skill folder cp {baseDir}/scripts/*.sh ./scripts/ chmod +x ./scripts/*.sh # Setup cron jobs (crontab -l 2>/dev/null; echo "0 * * * * $HOME /jarvis-autonomous/scripts/heartbeat.sh" ) | crontab - Telegram Bot Setup Create bot via @BotFather Get token Configure in your bot code: import sys sys.path.append( '/path/to/jarvis-autonomous' ) from telegram_integration import JarvisTelegram # Initialize bot = JarvisTelegram(token= "YOUR_TOKEN" ) bot.run() Usage Examples Create a Project /create my-awesome-app "An AI-powered productivity tool" Manual Backup /backup Check System Status /estado Configuration Environment variables: JARVIS_WORKSPACE - Path to workspace (default: ~/jarvis-autonomous) TELEGRAM_BOT_TOKEN - Your Telegram bot token GH_REPO - GitHub repo for backups Tech Stack Python + AsyncIO Telegram Bot API (telebot) GitHub CLI (gh) Cron + Bash scripts ClawdHub skills (autonomous-feature-planner, self-improving-agent) Integrations Works with ClawdHub skills: autonomous-feature-planner - Plan features autonomously self-improving-agent - Enhanced self-improvement agent-orchestrator - Multi-agent coordination github-action-gen - CI/CD generation Use Cases Autonomous Development - Create and manage projects hands-free Knowledge Preservation - Auto-backup learnings Security Monitoring - Detect and report anomalies Mobile Management - Full control via smartphone Metrics 24/7 uptime with auto-restart 6 Telegram commands 2+ active cron jobs Continuous learning and improvement License MIT - Use, modify, distribute freely Created By Mariano (@apu242007) Built with Claude AI, Python, and determination. "An agent that doesn't just execute commands—it anticipates your needs."
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |