Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →automateyournetwork/webex-voice-interface
Respond to WebEx voice clips with both text and an MP3 voice reply using edge-tts. Voice IN is already handled by OpenClaw transcription.
Passed 21 of 22 test cases with the skill, and 10 of 22 without it.
and 10 more in the full report
11 fixed10 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the exact shell command execution string required to synthesize speech containing 'All links operational' into an MP3 file using the default voice.
| Checked | Without skill | With skill |
|---|---|---|
| The shell command invokes python3 $MCP_CALL with python3 -u $TTS_MCP_SCRIPT text_to_speech. | Missed | Passed |
The instructions your model reads when the skill loads.
User sends voice clip in WebEx space
|
v
OpenClaw transcribes automatically (built-in)
|
v
NetClaw processes with full skill set
(pyATS, NetBox, ServiceNow, all 43 MCP servers)
|
v
python3 $MCP_CALL "python3 -u $TTS_MCP_SCRIPT" text_to_speech -> MP3 file
|
v
Upload MP3 to WebEx thread + post text response
Treat the transcribed voice message identically to a typed text message. Use the full NetClaw skill set -- pyATS, NetBox, ServiceNow, etc.
After composing your text response, call text_to_speech:
python3 $MCP_CALL "python3 -u $TTS_MCP_SCRIPT" text_to_speech '{"text":"R1 has 3 OSPF neighbors, all in FULL state on Area 0...","voice":"en-US-GuyNeural"}'
This returns JSON with an output_path to the generated MP3 file.
To list available voices:
test cases passed, vs 10 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.