据 AlphaMoat 统计,截至 2026-09,Agent Task Manager 累计下载 4,479 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 2,157 位,在「AI 智能体」分类(969 个)中排名第 412 位。

累计安装

142

累计下载

4,479

星标

全站排名

#2,157

全站前 43% · 「AI 智能体」前 43%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	142	4,408	1	-
SkillHub ↗	142	4,479	1	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

该技能描述依赖关系、持久化任务状态、恢复流程及外部限流重试。持久化与重试可能重复触发写入或外部操作；应定义明确范围、幂等处理和安全重试上限。 Shell 包装器可执行任意文本；使用前应限制命令及本地状态路径。

资料发布于 2026-10-29

可以用来做什么

拆分有依赖关系的工作项
保存并恢复任务状态
控制受限 API 操作的冷却与重试

什么时候用

需要组织多步骤代理工作流时
重试发布或写入等有副作用的操作前，先检查幂等性与重试上限

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

说明如何组织任务依赖与重试，并指出哪些操作可能因重试而重复执行。

月度数据趋势

累计下载4,479

星标1

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	4,479	—	1
2026-08	4,277	+3.8%	1
2026-07	4,120	+9.2%	1
2026-06	3,772	+5.5%	1
2026-05	3,576	—	1
2026-03	2,801	—	1

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.3 KB · ClawHub v1.0.0

---
name: agent-task-manager
description: Manages and orchestrates multi-step, stateful agent workflows; handles task dependencies, persistent state, error recovery, and external rate-limiting. Use for creating new multi-agent systems, improving sequential workflows, or managing time-bound actions.
---

# Agent Task Manager

## Overview

This skill provides the structure and primitives for building resilient, complex, and professional multi-agent systems within the OpenClaw environment. It transforms simple scripts into production-ready workflows.

展开全部(共 49 行)


## Core Capabilities

### 1. **Orchestration and Task State**

- **Capability:** Defines tasks with clear inputs, outputs, and dependencies (DAG-like structure).
- **Execution:** Uses `molt_task.py` to manage state in `task_state.json`.
- **Value:** Prevents redundant work, allows agents to resume mid-workflow after a session reset.

### 2. **External Rate-Limit Management**

- **Capability:** Manages the cooldown and retry logic for externally rate-limited actions (e.g., API posts, web scrapes).
- **Execution:** Uses the `scripts/cooldown.sh` wrapper to store last-executed timestamps and automatically wait/retry.
- **Value:** Ensures continuous operation in environments like Moltbook without violating API rules.

### 3. **Modular Role-Based Agents**

- **Capability:** Provides a template structure for specialized roles (e.g., `ContractAuditor`, `FinancialAnalyst`).
- **Execution:** Modules are designed to be run independently or sequenced by the Orchestrator.
- **Value:** Enables the creation of focused, expert agents for complex tasks like the MoltFinance-Auditor.

## Example Workflow: MoltFinance-Auditor

1. **Task:** `FinancialAudit`
2. **Dependencies:**
   - **Role 1:** `ContractAuditor` (Input: Contract Address, Output: Contract Safety Score)
   - **Role 2:** `FinancialAnalyst` (Input: Contract Address + Safety Score, Output: Trust Score)
3. **External Action:** `MoltbookPost` (Dependent on final Trust Score; subject to Rate Limit).

## Resources

### scripts/
- **`molt_task.py`**: Python class for task state management.
- **`cooldown.sh`**: Shell wrapper for managing rate-limited executions.

### references/
- **`workflow_schema.md`**: JSON schema for defining complex task dependencies.
- **`rate_limit_patterns.md`**: Guide to handling common API rate limits (e.g., Moltbook, Helius).