ワンクリックで
make-plan
// Create an implementation plan with documentation discovery. Use for complex features or multi-phase tasks that need structured planning before execution.
// Create an implementation plan with documentation discovery. Use for complex features or multi-phase tasks that need structured planning before execution.
Install persistent memory for OpenClaw agents via claude-mem. Use when setting up agent memory, fixing context amnesia, enabling continuous cognition, or helping agents remember across sessions. Handles worker service, OpenClaw plugin configuration, and verification.
Execute a plan using subagents for implementation. Use after /make-plan has created a structured plan, or for any multi-phase task execution.
| name | make-plan |
| description | Create an implementation plan with documentation discovery. Use for complex features or multi-phase tasks that need structured planning before execution. |
Create LLM-friendly implementation plans that can be executed in phases, using subagents for research and fact-gathering.
You are an ORCHESTRATOR. Create plans in phases that can be executed consecutively.
Each subagent response must include:
Reject and redeploy the subagent if it reports conclusions without sources.
Before planning implementation, deploy "Documentation Discovery" subagents to:
Then consolidate findings into a single Phase 0 output.
When asked to implement a complex feature:
User: Add WebSocket support to the server
You (orchestrator):
1. Deploy subagent: "Research WebSocket implementation patterns in this codebase and any docs"
2. Receive findings with specific file references and API signatures
3. Write Phase 0 output with allowed APIs
4. Write Phase 1-N implementation phases with verification checklists
5. Output the complete plan for execution with /do-plan
Write the plan to a file (e.g., plans/feature-name.md) so it can be referenced by /do-plan.