36 tagged tts, measured the same way as everything else here.
Browse within: beta 14elevenlabs-tts 14language 12normalization 12normalizer 12russian 12russian-language 12article-reader 6pdf 6youtube 6
Agent Claude Code
Reviews proposed changes to VoiceStudio against the owner's documented standards. Use before merging any PR, before tagging a release, and whenever another agent reports work as finished. Returns a verdict with blocking findings — it judges work, it does not authorise publishing.
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How the engineering skills should consume this repo's domain documentation when exploring the codebase.
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Issues and PRDs for this repo live as GitHub issues on debpalash/VoiceStudio. Use the gh CLI for all operations.
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A one-time mutation audit using mutmut, a tool that changes source code to test whether the test suite detects those changes.
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Agent "negative-numbers" from NickZaitsev/ru-normalizr, covering unary minus vs. hyphen, the failure mode, the one exception: equations and rule for new patterns.
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MorphAnalyzer.parse() orders candidates by a non-contextual dictionary score. The first candidate is therefore only a fallback, never contextual disambiguation. Callers that know a syntactic role or domain lexeme must use the shared linear selectparse() policy and constrain POS, normal form, gender, animacy, number…
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Speekify turns CLI text, stdin, local .txt/.md/.pdf files and YouTube video transcripts or the readable content of a URL into a local WAV file.
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Speekify turns CLI text, stdin, local .txt/.md/.pdf files and YouTube video transcripts or the readable content of a URL into a local WAV file.
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Runbook operationnel pour publier une nouvelle version de Speekify.
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Z specialist sub-agent. Authors and reviews Z notation following Spivey's reference manual — typed, fuzz-clean, ProB-compatible.
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B-method specialist sub-agent. Models systems with B and Event-B following Abrial's discipline — refinement-first, proof-obligation aware.
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ML engineering specialist sub-agent. Designs and implements inference pipelines, provider selection, quantization strategies, and hardware abstraction for ONNX models. Benchmark-driven — measures before optimizing.