# agent-task-manager

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

Task: FinancialAudit
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) 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.