Skip to content

robstrayer/voice-foundations

v1.0.0MIT

Thirteen provider-neutral skills for building, debugging and reviewing AI voice agents: stack selection, turn taking, conversation design, speech pipeline, audio frontends, latency, media debugging, call reliability, data capture, evaluation, cost, phone compliance and security.

voice-data-capture

Capture phone numbers, emails, names, addresses, dates, amounts, confirmation codes and yes or no answers correctly on a voice call. Use when a voice agent mishears or misspells what callers say, treats a transcript as truth, flips a negation, or fails on long digit strings or spelled codes, or when spoken data is read back, validated or written to a CRM, booking or payment system. Also for slot filling, E.164 phone numbers, spelling alphabets such as NATO, keypad or DTMF entry, SSML say-as read-back, and keyterms or phrase lists for speech recognition. Covers per-field protocols, asking and read-back, recognition aids, validation in code, test fixtures and keeping card data off the model path. Needs no tools. The optional script needs Python 3.

License
MIT
Read SKILL.md at the source

Pinned to revision b23109408150, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.