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OpenClaw

agent-task-manager

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.

dobbybud0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install dobbybud/agent-task-manager

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/dobbybud/agent-task-manager
Version
—
Commit
2af9f978c19311a3d3fafb3040e3d77f070ab5f6
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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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