Longrunning Agent

---

name: longrunning-agent description: "Enables AI agents to work on long-running projects across multiple sessions. Use when starting complex projects, resuming work on existing projects, managing task lists with priorities and dependencies, or tracking progress incrementally."

---

OpenClaw Long-Running Agent Skill

This skill enables AI agents to work on long-running projects across multiple sessions.

Purpose

The longrunning-agent skill provides a structured workflow for:

Tracking progress across sessions

Managing task lists with priorities and dependencies

Making incremental, atomic progress on complex projects

Ensuring continuity when resuming work

Installation

1. Copy this skill directory to your OpenClaw skills folder 2. Ensure Claude Code CLI is installed and configured 3. Create a project directory with the workflow files

Usage

Initialize a New Project

# Create project directory
mkdir my-project && cd my-project
Initialize workflow files
claude -p "Initialize this project using the longrunning-agent workflow"

Workflow Files

The skill expects these files in the project directory:

CLAUDE.md - Project instructions and workflow guide

task.json - Task list with priorities and dependencies

progress.txt - Log of work completed

init.sh - Environment setup script (optional)

Task Format

{
  "tasks": [
    {
      "id": "task-1",
      "description": "Set up project structure",
      "priority": 1,
      "dependencies": [],
      "passes": false
    },
    {
      "id": "task-2",
      "description": "Implement core features",
      "priority": 2,
      "dependencies": ["task-1"],
      "passes": false
    }
  ]
}

Progress Format

[2024-01-15 10:30:00] Started session
[2024-01-15 10:35:00] Completed task: Set up project structure
[2024-01-15 10:40:00] Milestone: Core features implemented

Workflow Steps

1. Read Progress - Check progress.txt for recent work 2. Select Task - Find next passes: false task with met dependencies 3. Initialize - Run init.sh if needed 4. Implement - Work on one task incrementally 5. Test - Run lint, build, and tests 6. Document - Update progress.txt 7. Mark Complete - Set passes: true in task.json 8. Commit - Make atomic git commit

Best Practices

Work on ONE task per session

Make commits after each task completion

Keep progress.txt concise but informative

Use dependencies to manage task order

Test thoroughly before marking passes: true

Integration with Web UI

This skill integrates with the Agent Workflow Web App:

Tasks sync with the web database

Progress entries are captured

Session output is logged

Git commits are tracked

Templates

Templates for workflow files are in the templates/ directory:

CLAUDE.md.tpl - Project template

task.json.tpl - Task list template

Initialize a New Project

# Create project directory
mkdir my-project && cd my-project
Initialize workflow files
claude -p "Initialize this project using the longrunning-agent workflow"

Workflow Files

The skill expects these files in the project directory:

CLAUDE.md - Project instructions and workflow guide

task.json - Task list with priorities and dependencies

progress.txt - Log of work completed

init.sh - Environment setup script (optional)

Task Format

{
  "tasks": [
    {
      "id": "task-1",
      "description": "Set up project structure",
      "priority": 1,
      "dependencies": [],
      "passes": false
    },
    {
      "id": "task-2",
      "description": "Implement core features",
      "priority": 2,
      "dependencies": ["task-1"],
      "passes": false
    }
  ]
}

Progress Format

[2024-01-15 10:30:00] Started session
[2024-01-15 10:35:00] Completed task: Set up project structure
[2024-01-15 10:40:00] Milestone: Core features implemented

Work on ONE task per session

Make commits after each task completion

Keep progress.txt concise but informative

Use dependencies to manage task order

Test thoroughly before marking passes: true