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Integrates Membrane CLI with ChatBotKit to manage bots, datasets, records and run chat-related actions from an agent. Automates auth, connections, and action di
ChatBotKit skill integrates the Membrane CLI with ChatBotKit so an agent can manage conversational resources (bots, datasets, messages, files) and run actions programmatically. It handles authentication flows, connection creation, polling for connection readiness, and provides patterns for discovering and running pre-built actions. The skill walks through installing the Membrane CLI, logging in (interactive and headless flows), ensuring a connection, and searching for/running actions with JSON input and output.
Use this skill when an agent needs to interact with ChatBotKit programmatically: listing conversations, fetching messages or dataset records, creating contacts or messages, and running custom actions available through Membrane. It is appropriate for headless environments (server or automation), conversational tooling, and agent-driven integrations where Membrane manages credentials.
Best suited to agents that can run shell commands and handle network I/O (Claude Code, OpenClaw/agents with CLI access, Codex-style harnesses). The skill mentions agent types like claude, openclaw, codex, warp, windsurf.
ChatBotKit skill integrates Membrane CLI with ChatBotKit for managing bots, datasets, records and running chat actions. No bundled scripts — purely instructional SKILL.md guiding the agent through Membrane CLI commands. Authentication is handled by Membrane (no hardcoded credentials), but the skill instructs agents to run arbitrary `membrane request` proxy calls and `membrane action run` with user-provided JSON input, which has shell injection potential if inputs aren't properly escaped. The skill is well-documented with clear steps but serves a narrow audience (ChatBotKit + Membrane users) and requires both services to be set up.
No scripts to execute — static analysis only. The skill is essentially a well-structured reference guide for the Membrane CLI's ChatBotKit integration. Security is reasonable: no hardcoded creds, Membrane handles auth lifecycle. Deducted for shell injection risk with --input flag and unrestricted proxy requests. Architecture is basic — single SKILL.md, no scripts/ or references/ directories, no separation of concerns. Usefulness is limited to users of both Membrane and ChatBotKit, a fairly narrow intersection. The popular actions table is a nice touch for discoverability.
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