elevenlabs

What This Skill Does

The elevenlabs skill for OpenClaw provides high-fidelity, natural-sounding text-to-speech capabilities tailored for clinical environments. By leveraging ElevenLabs' advanced neural models, this skill transforms static clinical data, patient education materials, and medication schedules into empathetic, human-like audio. It is designed to bridge the accessibility gap in healthcare, allowing patients with visual impairments, language barriers, or cognitive load challenges to receive vital health information in an auditory format that sounds professional and trustworthy.

Installation

To integrate this skill into your local OpenClaw environment, ensure you have an active account at ElevenLabs to generate your unique API key. Once registered, execute the following command in your terminal: clawhub install openclaw/skills/skills/arunnadarasa/elevenlabsclaw. After installation, navigate to your configuration file located at ~/.openclaw/openclaw.json and add your credentials under the skills.entries.elevenlabs.apiKey path. Alternatively, you may export your key as an environment variable named ELEVENLABS_API_KEY. Verification can be confirmed by running the diagnostic tool within the OpenClaw dashboard.

Use Cases

• Patient Discharge Instructions: Converting dense discharge documentation into clear, step-by-step spoken instructions that patients can listen to at home.
• Medication Reminders: Automatically generating gentle, clear audio alerts for medication dosing times to improve adherence.
• Multilingual Support: Utilizing the eleven_multilingual_v2 model to provide health guidance in over 30 languages, ensuring equitable care for diverse patient populations.
• Empathetic Education: Delivering complex medical explanations with a warm, calm, and steady cadence that helps reduce patient anxiety during recovery.

Example Prompts

1. "OpenClaw, please use the elevenlabs skill to read the discharge summary I just generated, focusing on the post-operative wound care instructions."
2. "Convert this list of medications into a clear, empathetic voice file that a patient can listen to as a daily morning reminder."
3. "Generate a Spanish language audio file explaining the patient's new diet plan using the multilingual ElevenLabs model."

Tips & Limitations

To ensure clinical safety and efficacy, prioritize the use of the eleven_multilingual_v2 model for complex medical terminology to maintain phonetic accuracy. Avoid using overly synthesized or "robotic" voice profiles; choose settings that sound stable and professional. Be mindful that this skill relies on external API calls; therefore, ensure that no Protected Health Information (PHI) is included in your prompts if your organization’s compliance policies restrict sending such data to third-party endpoints. Always verify the generated audio against the original written text for precision, particularly when reading dosage values, as minor pronunciation errors in medical settings can have clinical consequences. Use eleven_flash_v2_5 only when low-latency requirements outweigh the need for the highest levels of emotional nuance.