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Longrunning Agent

该技能面向跨会话的长周期项目:读取 progress.txt 了解进展,按优先级和依赖从 task.json 选取未完成任务,逐步实现、测试、记录进度、标记完成并做原子 git 提交,以保证多次会话间的连续性。

YonghaoZhao722
YonghaoZhao722
热度 83.07
最近更新 2026-05-17 12:01:30
分类:协作依赖:代码执行 / 读写文件应用场景:任务管理 / 工作流 / 笔记整理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add longrunning-agent
Metadata
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