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BytesAgain β€Ί Skills β€Ί Agent Task Manager
πŸ¦€ ClawHub

Agent Task Manager

by @dobbybud

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.

Versionv1.0.0
Downloads4,255
Stars⭐ 1
#legal#automation#productivity
TERMINAL
clawhub install agent-task-manager

πŸ“– About This Skill

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.

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).