name: agent-task-manager 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. 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.skillboss.co/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.