CodeSee for Openclaw

The CodeSee skill enables AI agents to visualize, map, and understand complex codebases through automated diagramming and data management.

gora050
v1.0.2
May 1, 2026
0
366
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install codesee

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install codesee 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 CodeSee?

CodeSee for Openclaw Skills is a professional-grade developer tool integration designed to help software engineers and AI agents visualize and comprehend large codebases. By leveraging Membrane's infrastructure, this skill allows for seamless interaction with CodeSee diagrams, files, and nodes without the complexity of manual authentication. It provides a structured way to onboard teams faster and plan architectural changes with high confidence through automated data workflows.

Using this skill within the Openclaw Skills ecosystem ensures that your AI agents can perform deep code analysis and visualization tasks securely. It eliminates the need for managing sensitive API keys locally, as all credential lifecycles are handled server-side, making it an essential tool for any developer seeking to enhance their AI-driven development environment.

CodeSee Use Cases

  • Visualizing repository structures for faster developer onboarding.
  • Debugging complex code paths by generating and inspecting architectural diagrams.
  • Planning large-scale architectural changes with AI-assisted codebase mapping.
  • Automating documentation of file and node relationships within a workspace.
  • Integrating CodeSee data into broader AI-driven development workflows using Openclaw Skills.

How CodeSee Works

  1. Install the Membrane CLI globally to enable communication between the AI agent and the CodeSee API.
  2. Authenticate the agent using the login command specifically configured for Openclaw Skills environments.
  3. Create or ensure a connection to CodeSee using a specific workspace URL or domain to initiate the handshake.
  4. Poll the connection status until it reaches a READY state, handling any required user actions via provided URLs if necessary.
  5. Discover available CodeSee actions using natural language intent searches to find the most relevant tools for the task.
  6. Execute specific actions or use the proxy request feature to interact directly with the CodeSee API for custom requirements.

CodeSee Setup

To get started with this integration, install the CLI and authenticate your environment:

npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
membrane connection ensure "https://www.codesee.io/" --json

If the connection state is BUILDING, poll until it is ready for use with Openclaw Skills:

npx @membranehq/cli connection get <id> --wait --json

CodeSee Data Schema & Taxonomy

The CodeSee skill organizes data around workspaces and architectural components. Below is the primary metadata taxonomy:

Component Description Attributes
Workspace The top-level container for CodeSee projects ID, Name, URL
Diagram Visual representation of code architecture Type, Version, Nodes
File Individual source files mapped in the diagram Path, Connections, Metadata
Node Specific functional elements within a diagram Labels, Relations, Position
Connection Auth state and API link to CodeSee State, ClientAction, Error

CodeSee Advanced Features

  • Natural language action discovery to find the right CodeSee tools dynamically based on user intent.
  • Automated credential refresh and server-side secret management via Openclaw Skills integration.
  • Direct API proxying with the request command for custom endpoints not covered by standard pre-built actions.
  • Machine-readable JSON output for all commands to facilitate complex multi-agent orchestration.
  • Intelligent polling with long-wait capabilities for asynchronous connection building and configuration.

SKILL.md


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