autonomous-operator
Skill0 starsChanged 6 months agoMITView on GitHub
Provides autonomous business operation capabilities: multi-backend email, local LLM integration, self-monitoring, credential management, and revenue tracking. Enables the agent to run without manual gatekeepers. Provides unified interface: send-email --to <email> --subject <subj> --body <body> Automatically retries with fallback if primary fails. Dashboard can be viewed via: openclaw status --full or a simple web UI. Uses macOS Keychain or encrypted file storage. Environment variables: - AUTONOMOUS_EMAIL_BACKENDS — comma-separated list of backends to try (default: gog,smtp,api,draft) - AUTONOMOUS_LLM_MODEL — local model to…
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The file
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2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
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Common · estimate
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Distinctive · estimate
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- Common
- Distinctive
- Very specific
- Distinctive: line 53
Every 2 hours: check inbox, send scheduled follow-ups, update lead status
- Distinctive: line 89
No dependency on any single credential provider
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Autonomous Operator Skill
Provides autonomous business operation capabilities: multi-backend email, local LLM integration, self-monitoring, credential management, and revenue tracking. Enables the agent to run without manual gatekeepers.
Capabilities
- Multi-backend email — automatically detects and uses available email methods (gog OAuth, SMTP app password, third-party APIs)
- Local LLM — integrates with Ollama for unlimited tokens, no API costs
- Self-monitoring — health checks, revenue pipeline tracker, alerting
- Credential vault — secure storage and rotation of service credentials
- Autonomous loops — periodic execution of high-value tasks (follow-ups, research, monitoring)
Triggers
- "Set up autonomous email"
- "Enable local LLM"
- "Start self-monitoring"
- "Build sovereign business machine"
- "Remove gatekeepers"
What It Does
1. Email Independence
Detects available email sending methods in order of preference:
- gog CLI with OAuth (if configured)
- SMTP with app password (if credentials available)
- Third-party email API (SendGrid, Mailgun, etc.)
- Fallback: draft emails for manual send
Provides unified interface: send-email --to <email> --subject <subj> --body <body>
Automatically retries with fallback if primary fails.
2. Local LLM Integration
Installs and manages Ollama on the local machine:
- Detects if Ollama is installed, installs if not (via brew or direct binary)
- Pulls Llama 3.2 (or other models) based on available RAM
- Configures OpenClaw to use local LLM for agent instructions
- Provides unlimited token generation for agent workflows
3. Self-Monitoring Dashboard
Generates daily status reports:
- Agent health (running, errors, restarts)
- Revenue pipeline (leads, emails sent, replies, calls booked, deals closed)
- Credential status (expiring soon, needs rotation)
- System resources (RAM, CPU, disk)
- Upcoming tasks and follow-ups
Dashboard can be viewed via: openclaw status --full or a simple web UI.
4. Autonomous Loops
Runs scheduled tasks without cron (internal scheduler):
- Every 2 hours: check inbox, send scheduled follow-ups, update lead status
- Daily: generate revenue report, update next-moves.md, log insights
- Weekly: competitor watch, pricing intel, template refresh
- On trigger: when new lead added, automatically enrich and add to sequence
5. Credential Vault
Securely stores:
- Email passwords/app passwords
- API keys (OpenRouter, etc.)
- Client credentials
- Rotation reminders
Uses macOS Keychain or encrypted file storage.
Setup
# Initialize autonomous operator
openclaw sessions_spawn --runtime subagent --task "Initialize autonomous operator: install Ollama, configure email fallbacks, set up monitoring"
# Or use the CLI directly (once installed)
autonomous-operator init
autonomous-operator email-test
autonomous-operator dashboardConfiguration
Environment variables:
AUTONOMOUS_EMAIL_BACKENDS— comma-separated list of backends to try (default: gog,smtp,api,draft)AUTONOMOUS_LLM_MODEL— local model to use (default: llama3.2)AUTONOMOUS_REPORT_TIME— daily report time (default: 09:00)AUTONOMOUS_FOLLOWUP_INTERVAL— hours between follow-up cycles (default: 2)
Benefits
- No dependency on any single credential provider
- Works offline (local LLM) for core agent instructions
- Automatic failover ensures continuity
- Self-monitoring means you know status at a glance
- Reduces manual repetitive work to zero
Notes
This skill is designed for sovereignty. It assumes you want to own your infrastructure and not rely on third-party APIs that can go down or change terms. Local LLM gives you unlimited tokens and privacy.
Preferred hardware: Mac mini or Linux server with at least 16GB RAM for comfortable Llama 3.2 operation.
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