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AI & LLM Engineering · By daymade
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Configures and runs LLM evaluation using Promptfoo framework. | daymade/ | 1.4k | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 2 | Transcribes Chinese/English audio with StepFun's stepaudio-3-asr-max via its SSE endpoint (not /v1/audio/transcriptions) — one call handles long-form audio with no chunking. | daymade/ | 1.4k | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 3 | Generates Chinese/Japanese speech with StepFun's Contextual TTS — default stepaudio-2.5-tts, stepaudio-3-tts for whisper/inline-() prosody. | daymade/ | 1.4k | — | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 4 | Transcribes audio or video to speaker-labeled, timestamped text, locally with MLX on Apple Silicon or remotely. | daymade/ | 1.4k | — | ~13k | Automated safety check: Pass | MIT | yesterday |
| 5 | Tests/benchmarks a third-party LLM endpoint (OpenAI- or Anthropic-compatible): availability, fidelity, speed, concurrency, protocol compliance, quality regression. | daymade/ | 1.4k | — | ~4.7k | Automated safety check: Pass | MIT | yesterday |
| 6 | Corrects ASR/STT transcription errors — homophones, garbled terms, person-name errors, mixed Chinese/English — with dictionary rules plus Claude's built-in AI, no external API key required. | daymade/ | 1.4k | — | ~11k | Automated safety check: Pass | MIT | yesterday |
| 7 | Transforms vague prompts or feature requests into precise, testable specifications using EARS (Easy Approach to Requirements Syntax) grounded in relevant domain theories (GTD, BJ Fogg, Gestalt). | daymade/ | 1.4k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |