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Tencent SkillHub · Other

Task Runner

Manage and track tasks and projects persistently with priorities, completion status, filtering, and secure markdown export across sessions.

skill openclawclawhub Free
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Manage and track tasks and projects persistently with priorities, completion status, filtering, and secure markdown export across sessions.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/task_runner.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 21 sections Open source page

Task Runner

Manage tasks and projects across sessions with persistent tracking.

Add a task

task_runner.py add "<description>" [project] [priority]

List all tasks

task_runner.py list

List tasks for a specific project

task_runner.py list "<project>"

Complete a task

task_runner.py complete <task_id>

Change task priority

task_runner.py priority <task_id> <low|medium|high>

Export project to markdown

task_runner.py export "<project>" "<output_file>"

Features

Persistent storage - Tasks survive session restarts (stored in ~/.openclaw/workspace/tasks_db.json) Project organization - Group tasks by project for better organization Priority levels - low, medium (default), high Status tracking - pending vs completed with timestamps Flexible filtering - View all tasks or filter by project Markdown export - Export projects to clean markdown for sharing

Path Validation (v1.0.1+)

The export function validates output paths to prevent malicious writes: ✅ Allowed: ~/.openclaw/workspace/, /tmp/, and home directory ❌ Blocked: System paths (/etc/, /usr/, /var/, etc.) ❌ Blocked: Sensitive dotfiles (~/.bashrc, ~/.ssh, etc.) This prevents prompt injection attacks that could attempt to write to system files for privilege escalation.

Task Storage

The task storage is JSON-based and only writes to ~/.openclaw/workspace/tasks_db.json.

For multi-session projects

# Add experiment tasks task_runner.py add "Setup development environment" "project-x" "high" task_runner.py add "Write initial tests" "project-x" "medium" task_runner.py add "Document API endpoints" "project-x" "low" # List project progress task_runner.py list "project-x" # Complete tasks as you go task_runner.py complete 1 task_runner.py complete 2

For autonomous agent workflows

Track your own tasks across sessions: # Plan experiments task_runner.py add "Build and publish skill" "income-experiments" "high" task_runner.py add "Test content pipeline" "income-experiments" "medium" # Update priorities based on learning task_runner.py priority 2 "high" # Export progress reports task_runner.py export "income-experiments" "./progress-report.md"

For sprint planning

# Plan week's work task_runner.py.py add "Build feature X" "sprint-5" "high" task_runner.py.py add "Fix bug Y" "sprint-5" "high" task_runner.py.py add "Update documentation" "sprint-5" "medium" # Review progress task_runner.py list "sprint-5" # Export for standup task_runner.py export "sprint-5" "./standup.md"

Task Priorities

PriorityEmojiWhen to Usehigh🔴Blocking issues, urgent, must do nowmedium🟡Normal work, do soonlow🟢Nice to have, backlog items

Output Format

Task listing shows: Status icon (✅ completed, ⏳ pending) Project name Task ID number Priority emoji Creation date Task description Completion date (if completed)

Export Format

Markdown export includes: Project title with task counts Pending tasks section Completed tasks section (most recent first) Task IDs, priorities, and timestamps

Managing a coding project

# Setup task_runner.py add "Clone repository" "my-project" "high" task_runner.py add "Install dependencies" "my-project" "high" task_runner.py add "Set up database" "my-project" "medium" # Track progress task_runner.py list "my-project" task_runner.py complete 1 task_runner.py complete 2 # Export for documentation task_runner.py export "my-project" "./my-project-tasks.md"

Tracking autonomous agent experiments

# Plan experiments task_runner.py add "Experiment 1: Publish skills" "autonomous-income" "high" task_runner.py add "Experiment 2: Content automation" "autonomous-income" "medium" task_runner.py add "Experiment 3: Service MVP" "autonomous-income" "low" # Work through them task_runner.py list "autonomous-income" task_runner.py complete 1 # Adjust based on learning task_runner.py add "Experiment 2a: Research tools without API keys" "autonomous-income" "high" task_runner.py priority 2 "low"

Daily task management

# Plan the day task_runner.py add "Review pull requests" "daily" "high" task_runner.py add "Write documentation" "daily" "medium" task_runner.py add "Respond to emails" "daily" "low" # End-of-day review task_runner.py list # Archive completed work task_runner.py export "daily" "./$(date +%Y-%m-%d)-tasks.md"

Best Practices

Use meaningful project names - income-experiments not ideas Set priorities consistently - helps with focus Mark tasks complete promptly - keeps list clean Export before major changes - backup progress Review and clean up - archive old projects regularly

Integration with Other Skills

Combine with research-assistant for complete project management: Use research-assistant for notes and knowledge Use task-runner for actionable tasks Export both to create comprehensive project docs

Category context

Long-tail utilities that do not fit the current primary taxonomy cleanly.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • scripts/task_runner.py Scripts