1.9k★by dobbybud
agent-task-manager – OpenClaw Skill
agent-task-manager is an OpenClaw Skills integration for coding workflows. 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.
Skill Snapshot
| 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. OpenClaw Skills integration. |
| owner | dobbybud |
| repository | dobbybud/agent-task-manager |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @dobbybud/agent-task-manager |
| last updated | Feb 7, 2026 |
Maintainer

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.pyto manage state intask_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.shwrapper 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)
- Role 1:
- 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).
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
FAQ
How do I install agent-task-manager?
Run openclaw add @dobbybud/agent-task-manager in your terminal. This installs agent-task-manager into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/dobbybud/agent-task-manager. Review commits and README documentation before installing.
