Connect your AI agent to Stammer.ai to programmatically manage communication coaching projects, documents, and speech analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stammerai
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 stammerai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Stammer.ai is a leading AI-powered communication coach that assists users in refining their public speaking and professional communication. This integration allows your AI agent to interact with the Stammer.ai ecosystem, including projects, documents, and label ontologies. By leveraging Openclaw Skills, developers can build automated workflows that help users become more confident and effective communicators.
The skill utilizes Membrane to handle the heavy lifting of authentication and API management. This means your agents can focus on the core logic of communication coaching without getting bogged down in manual token refreshes or complex security plumbing. It provides a robust framework for managing coaching data at scale.
To begin using this skill with Openclaw Skills, first log in through the Membrane CLI:
npx @membranehq/cli@latest login --tenant
Once authenticated, search for the Stammer.ai connector and establish a connection:
# Find the connector ID
npx @membranehq/cli@latest search stammerai --elementType=connector --json
# Create the connection
npx @membranehq/cli@latest connect --connectorId=CONNECTOR_ID --json
The skill organizes Stammer.ai data according to the following hierarchy:
| Entity | Description |
|---|---|
| Project | The primary container for coaching documents and analysis results. |
| Document | Transcripts or text files provided for communication coaching. |
| Section | Granular segments of a document targeted for specific analysis. |
| Label Ontology | The classification system used for feedback and communication metrics. |
| Annotation | Specific AI-generated coaching notes and improvements. |
| Model | The underlying AI configuration used for processing communication data. |
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