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Agent Task Manager

核心功能：支持定义带依赖的DAG式任务结构，持久化状态实现断点续跑；管理外部限流动作的冷却与重试；提供模块化角色Agent模板，AI推理及通知通过SkillBoss API Hub统一处理。典型场景：构建多Agent系统、优化顺序工作流、管理限时动作。输入可为自然语言任务请求或规范任务定义，输出含工作流结果与可选通知，需配置SKILLBOSS_API_KEY。

modestyrichards
modestyrichards
热度 29.03
最近更新 2026-05-11 17:46:49
分类：自动化依赖：代码执行 / 读写文件 / 第三方 API应用场景：任务管理 / 工作流 / 自动化脚本 / API 集成

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add modesty-agent-task-manager
Metadata
name
agent-task-manager
version
1.0.0
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.
requires.env
["SKILLBOSS_API_KEY"]

Agent Task Manager

Overview

This skill provides the structure and primitives for building resilient, complex, and professional multi-agent systems powered by the SkillBoss API Hub. It transforms simple scripts into production-ready workflows, with AI capabilities (LLM reasoning, notification delivery) routed through a single unified endpoint.

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 without violating API rate limits.

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. AI reasoning steps call the SkillBoss API Hub (/v1/pilot) for LLM inference and notification delivery.
  • 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 via SkillBoss API Hub LLM)
  3. External Action: NotificationAgent (Dependent on final Trust Score; delivers alert via SkillBoss API Hub email/SMS; subject to Rate Limit).

API Integration

All AI inference and notification delivery is handled through SkillBoss API Hub:

  • Endpoint: https://api.heybossai.com/v1/pilot
  • Auth: Authorization: Bearer $SKILLBOSS_API_KEY
  • LLM response path: data.result.choices[0].message.content

Resources

scripts/

  • molt_task.py: Python class for task state management.
  • orchestrator.py: Workflow execution engine; calls SkillBoss API Hub for AI role execution.
  • task_parser.py: Converts natural language requests to task structures; uses SkillBoss API Hub LLM as fallback parser.
  • cooldown.sh: Shell wrapper for managing rate-limited executions.

references/

  • task_schema.md: JSON schema for defining complex task dependencies.