據 AlphaMoat 統計,截至 2026-09,Agent Task Manager 累計下載 4,479 次、獲 1 個星標,在全部 5,078 個 AI 技能中排名第 2,157 位,在「AI 智慧體」分類(969 個)中排名第 412 位。

累計安裝

142

累計下載

4479

星標

全站排名

#2,157

全站前 43% · 「AI 智慧體」前 43%

平台	累計安裝	累計下載	星標	評論
ClawHub ↗	142	4408	1	-
SkillHub ↗	142	4479	1	—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

該技能描述依賴關係、持久化任務狀態、恢復流程及外部限流重試。持久化與重試可能重複觸發寫入或外部操作；應定義明確範圍、冪等處理和安全重試上限。 Shell 包裝器可執行任意文字；使用前應限制命令及本地狀態路徑。

資料釋出於 2026-10-29

可以用來做什麼

拆分有依賴關係的工作項
儲存並恢復任務狀態
控制受限 API 操作的冷卻與重試

什麼時候用

需要組織多步驟代理工作流時
重試釋出或寫入等有副作用的操作前，先檢查冪等性與重試上限

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

說明如何組織任務依賴與重試，並指出哪些操作可能因重試而重複執行。

月度資料趨勢

累計下載4479

星標1

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份	累計下載	環比	星標
2026-09	4479	—	1
2026-08	4277	+3.8%	1
2026-07	4120	+9.2%	1
2026-06	3772	+5.5%	1
2026-05	3576	—	1
2026-03	2801	—	1

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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.

展開全部(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).