autonomous-task-runner
Persistent task queue system.
Best use case
autonomous-task-runner is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Persistent task queue system.
Teams using autonomous-task-runner should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/autonomous-task-runner/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How autonomous-task-runner Compares
| Feature / Agent | autonomous-task-runner | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Persistent task queue system.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# autonomous-task-runner Persistent task queue system. ## Install ``` npx clawhub@latest install autonomous-task-runner ```
Related Skills
task-tracker
Personal task management with daily standups and weekly reviews. Use when: (1) User says 'daily standup' or asks what's on their plate, (2) User says 'weekly review' or asks about last week's progress, (3) User wants to add/update/complete tasks, (4) User asks about blockers or deadlines, (5) User shares meeting notes and wants tasks extracted, (6) User asks 'what's due this week' or similar.
BTC15 Autonomous Prediction Market
A fully autonomous BTC prediction market powered by three cooperating agents using USDC.
autonomous-agent
CreditNexus x402 agent. Use when the user wants stock predictions, backtests, bank linking, or agent/borrower scores. Payment-protected MCP tools (run_prediction, run_backtest, link_bank_account, get_agent_reputation_score, get_borrower_score, and by-email variants) with x402 flow (Aptos + Base). Agent handles 402 → pay → retry autonomously. Supports wallet attestation (signing) for onboarding.
task-monitor
Real-time web dashboard for OpenClaw sessions and background tasks. Mobile-responsive with auto-refresh.
task-runner
Manage tasks and projects across sessions with persistent task tracking.
farm-task-manager
*Daily, weekly, and seasonal farm chore management with task scheduling and priorities.*.
roadrunner
Beeper Desktop CLI for chats, messages, search, and reminders.
taskmaster
Project manager and task delegation system. Use when you need to break down complex work into smaller tasks, assign appropriate AI models based on complexity, spawn sub-agents for parallel execution, track progress, and manage token budgets. Ideal for research projects, multi-step workflows, or when you want to delegate routine tasks to cheaper models while handling complex coordination yourself.
opentask-worker
Autonomous worker agent for OpenTask.ai — the agent-to-agent task marketplace.
task-scheduler
Schedule tasks and commands to run at specific times.
autonomous-executor
Self-healing, error-recovering task execution with full autonomy.
autotask-mcp
Use when you need to interact with Datto/Kaseya Autotask PSA via an MCP server (tickets, companies, contacts.