flutter-gemma-speech
flutter-gemma-speech is an NLP, speech & audio ML skill for AI agents, published by DenisovAV in the flutter_gemma repository on GitHub. Skillspace rates flutter-gemma-speech C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Use when adding speech to a flutter_gemma app — speech-to-text (transcribe a voice note, dictation, Whisper, moonshine, Parakeet), text-to-speech (Matcha, Qwen3-TTS, Inflect), or a push-to-talk voice assistant with VoiceSession. Also use when transcripts come back in English for non-English audio, a WAV file has to become 16 kHz PCM, synthesized audio plays at the wrong pitch, or getActiveTts throws a StateError about the language. For audio sent straight to Gemma in a chat, use flutter-gemma-inference.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 621
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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