A structured framework for managing AI agent execution workflows through Markdown-based planning and tracking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-plan-manager
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-plan-manager using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agent Plan Manager?
The Agent Plan Manager is a specialized toolset designed to bring structure to complex AI agent operations. It provides a standardized way to define, track, and execute multi-step tasks by separating high-level objectives from granular implementation details. By leveraging this implementation of Openclaw Skills, developers can ensure their agents maintain state and clarity across long-running or complex tool-calling sequences.
This skill is built to be agent-centric, meaning it focuses on clear entry and exit points for AI workflows. Because it utilizes lightweight Markdown files, it integrates seamlessly with any agent that has file system access, providing a human-readable and machine-parsable audit trail of every action taken during a task's lifecycle.
Agent Plan Manager Use Cases
- Breaking down complex user requests into actionable implementation steps.
- Tracking progress across multi-step browser automation or coding workflows.
- Recording detailed execution history for debugging and auditing agent behavior.
- Managing high-level project goals alongside specific tool-sequence logic.
- Providing structured task management for autonomous agents in multi-step environments.
How Agent Plan Manager Works
- The agent initializes a high-level tracking board by creating an overview document in the plans directory.
- Complex tasks are decomposed into detailed execution documents containing specific tool sequences and objectives.
- An index is maintained to link individual plans for easy navigation and retrieval by the agent.
- Progress is tracked in real-time using Markdown checkboxes and status updates within the implementation table.
- Completed workflows are moved to an archive or completed section to maintain a clean active workspace.
Agent Plan Manager Setup
To integrate this skill into your agent workflow, initialize the directory structure and copy the required templates into your workspace:
# Create the necessary directory structure
mkdir -p plans/detailed
# Initialize the overview and index from your local templates
cp templates/plans-overview.md plans/plans-overview.md
cp templates/index.md plans/detailed/index.md
Ensure your agent has permissions to read and write within the plans/ directory to manage the Openclaw Skills workflow effectively.
Agent Plan Manager Data Schema & Taxonomy
The system organizes data through a hierarchical Markdown structure that ensures all Openclaw Skills data remains portable and readable:
| Component | File Path | Purpose |
|---|---|---|
| Overview Board | plans/plans-overview.md |
Tracks high-level task status, priority, and metadata. |
| Plan Index | plans/detailed/index.md |
A central lookup table linking to all detailed execution plans. |
| Detailed Plan | plans/detailed/XX-plan-name.md |
Contains objectives, tool sequences, and granular implementation checkboxes. |
Agent Plan Manager Advanced Features
- Tool sequence mapping to define the exact order of agent function calls before execution.
- Token usage estimation per plan to optimize cost and context window management.
- Multi-agent coordination support through shared state files in the central plans directory.
- Native integration with Openclaw file system tools for automated status updates and progress syncing.
- Support for kebab-case naming conventions to ensure cross-platform file compatibility.
SKILL.md
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