An AI agent skill designed to continue and refine project plans through intelligent context recognition and deep codebase exploration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install plan-c
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install plan-c using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
plan-c is a specialized technical module designed for AI agents that focus on iterative development. Unlike tools that create new structures, this skill is optimized for continuing conversations within existing planning files. It allows developers to maintain continuity in long-running projects by recognizing explicit file loading intents and providing immediate status summaries. By leveraging the power of Openclaw Skills, it bridges the gap between high-level architectural planning and low-level codebase reality.
The skill operates with a sophisticated routing logic that distinguishes between a simple overview request and a deep-dive technical analysis. This ensure that the agent provides the right level of detail based on user intent, whether that is simply checking a TODO list or performing a comprehensive scan of function signatures and data models to refine a technical approach.
To integrate plan-c into your environment, ensure you have an existing plan generated by compatible Openclaw Skills. You do not need to initialize new scripts. Simply reference your existing markdown plan in your agent prompt:
/plan-c continue with plans/20250520/refactor-auth.md
If no file is found, the system will prompt you to create one using the plan-i utility.
The skill interacts with structured Markdown planning files organized as follows:
| Component | Format | Description |
|---|---|---|
| Task Tracking | GFM Checkboxes | Tracks progress of implementation steps and TODOs |
| Uncertainties | List Items | Identifies technical blockers that require codebase scanning |
| Context Metadata | YAML Frontmatter | Stores skill-specific metadata like name and description |
| Logic Flow | Markdown Sections | Defines the architectural approach and data structures |
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