200건 · 관련도순
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
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Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
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A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
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Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive randomisation. Covers FDA 2019 Final Adaptive Designs Guidance, FDA 2022 Master Protocols, and ICH E20 Step 2b/3 draft (June 2025, NOT final). Use when planning interim analyses, sample-size re-estimation, or master/platform-trial designs.
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Directs game audio and judges it by numbers — sound palettes, SFX and music briefs, Godot import settings, licence-checked generator briefs, and measured file checks (loudness, peaks, clipping, silence, loop seams). Trigger for game sound design or an audio style guide; an SFX or music list; a loop that clicks; sounds too loud or uneven; what LUFS a game should hit, or normalizing to it; checking WAV or Ogg files before import; or say soundsmith (direct, brief, audit, test). Direction, not DSP; generating a sound starts here. Running ComfyUI is comfyrunner's; audio code godotsmith's; transcription whisperrunner's; canon lorescribe's; pixel art pixelsmith's.
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Law-driven abstraction protocol: evidence first, seam test, minimal algebra, executable law check.
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Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
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Establish SAML 2.0 identity federation between on-premises Active Directory and Azure AD (Microsoft Entra ID) for seamless cross-domain authentication and SSO to cloud applications.
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