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

Task: FinancialAudit

Dependencies:

- Role 1: ContractAuditor (Input: Contract Address, Output: Contract Safety Score)
- Role 2: FinancialAnalyst (Input: Contract Address + Safety Score, Output: Trust Score)

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).