Overview
- Skill Key
- dobbybud/agent-task-manager
- Author
- dobbybud
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/dobbybud/agent-task-manager
- Latest Commit SHA
- 2af9f978c19311a3d3fafb3040e3d77f070ab5f6
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.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 agent-task-manager 技能。 若已安装,则直接安装 agent-task-manager 技能。
# 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. ## 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...
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