By dobbybudUpdated 2026-05-17agent-task-manager@clawhub_dobbybud/agent-task-manager
Task AutomationMulti-Agent CollaborationWorkflow Orchestration#Multi Agent
According to AlphaMoat, as of 2026-09, Agent Task Manager has 4,479 downloads and 1 stars — ranked #2,157 of 5,078 AI skills overall, and #412 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 142 | 4.4K | 1 | - |
| SkillHub ↗ | 142 | 4.5K | 1 | — |
Platforms count differently and update at different times.
It describes task dependencies, persistent state, recovery, and retries for externally rate-limited actions. Persistence and retries can repeat writes or external side effects; define scope, idempotency, and safe retry limits. The shell wrapper can execute arbitrary text; constrain commands and local state paths before use.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.5K | — | 1 |
| 2026-08 | 4.3K | +3.8% | 1 |
| 2026-07 | 4.1K | +9.2% | 1 |
| 2026-06 | 3.8K | +5.5% | 1 |
| 2026-05 | 3.6K | — | 1 |
| 2026-03 | 2.8K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- 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).
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A browser-automation command line skill for AI agents.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.