slng-ai/skills move an existing voice agent onto SLNG.
Hand one to your coding agent and it discovers your current wiring, swaps speech
to text and text to speech for SLNG hosted models, and can point the language
model at the Context Router. The rest of your pipeline stays as it is.
These skills back the assisted path in the framework guides: in the dashboard you
choose your Listen, Think, and Speak models, copy the generated prompt, and the
coding agent installs the matching skill and applies the change. For the core
skills that call the API directly, see the
Agent skill.
Install
Theskills CLI needs Node 18 or later. Install a single migration skill by
name:
-a (claude-code, codex, or gemini-cli), and
add -g to install for every project. Re-run the command any time to update.
Set up your key
The migration skills read your key fromSLNG_API_KEY:
The core skills use
VOICEAI_API_KEY and the migration skills use
SLNG_API_KEY. Set both to the same key if you install skills from each group.Migration skills
How a migration runs
Once the skill is installed, describe the migration to your coding agent:- Discover the entry point, package manager, environment loading, and current speech to text, text to speech, and language model wiring before editing.
- Establish a rollback point with a clean git tree.
- Validate
SLNG_API_KEYwithout printing it. - Install the framework plugin and replace the speech to text and text to speech constructors with the SLNG equivalents.
- Point the language model at the Context Router where you chose to.
- Verify one spoken turn that completes speech to text, the language model, and text to speech.
Next steps
LiveKit
Run the assisted or manual migration for a LiveKit agent.
Pipecat
Run the assisted or manual migration for a Pipecat bot.
Custom LLM
Route a custom stack through the Context Router.