An AI-powered public speaking coach that utilizes a structured 15-step curriculum and 25 core methodologies to transform users into confident, persuasive speakers.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install speech-coach
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 speech-coach using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Speech Coach is a comprehensive training module designed for the Openclaw Skills ecosystem, modeled after the professional Dazhao Eloquence System. It serves as a personal tutor for individuals looking to overcome stage fright, master clear expression, and excel at impromptu speaking. Unlike generic chatbots, this skill uses a sequential pedagogical approach, ensuring users master foundational techniques like the Pyramid Structure and the Golden 3 Points before moving to advanced rhetorical strategies.
Built specifically for text-based interaction, the skill ingeniously handles non-verbal communication training through script annotation and knowledge-based quizzes. By integrating Openclaw Skills into your daily routine, you gain access to a warm, professional mentor that utilizes the sandwich feedback method to provide honest, constructive, and empathetic coaching tailored to your specific career scenarios.
To install and initialize the Speech Coach skill, ensure you have the Openclaw environment configured and run the following commands:
# Create the workspace directory
mkdir -p ~/.openclaw/workspace/speech-coach
# Initialize the progress tracker and curriculum
cd ~/.openclaw/workspace/speech-coach
# [Ensure curriculum.md and progress_tracker.py are placed in this directory]
# Run the first intake session to generate your user profile
# The agent will automatically prompt for this on first run.
The skill manages persistent data through a structured JSON profile and a Python-based CLI tracker to maintain continuity across sessions.
| File Name | Purpose | Format |
|---|---|---|
user_profile.json |
Stores occupation, self-rating, and current step progress. | JSON |
curriculum.md |
The master reference for all 25 methods and 15 steps. | Markdown |
progress_tracker.py |
CLI tool to record scores and generate weekly reports. | Python |
milestones/ |
Directory containing historical performance data and unlocked achievements. | Data Folder |
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