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SkillsMP 已收集 001TMF/blatant-why 中的 8 个 Skill。打开任一 Skill 可查看来源和详情。
已展示 8 / 8 个已收集 Skill。
De novo protein binder design using PXDesign. Use this skill when designing non-antibody protein binders against a target structure. Covers YAML config creation, CLI invocation, output parsing, and result interpretation. For antibody/nanobody binders, use…
原文语言：英语
Antibody and nanobody binder design using BoltzGen (BoltzGen diffusion + Protenix refolding). Covers entity YAML specification, CLI invocation, protocol selection (nanobody-anything / antibody-anything), MSA modes, and output parsing. Use this skill whenever…
原文语言：英语
Master orchestration skill for the BY protein design agent. Use this skill when: (1) Starting any new protein or antibody design project, (2) Deciding which BY tool to use for a given task, (3) Planning a design campaign end-to-end, (4) Understanding the…
原文语言：英语
Standard display formats and conversational patterns for BY output. Use this skill when: (1) Presenting campaign status, progress, or results, (2) Formatting screening reports, (3) Displaying error messages or checkpoints, (4) Presenting research findings or…
原文语言：英语
Session initialization and configuration for BY projects. Use this skill when: (1) Opening a new session in a BY project directory, (2) Running first-time setup (config questionnaire), (3) Checking environment and compute availability, (4) Reading or updating…
原文语言：英语
Deep academic research for antibody design campaigns — target analysis, literature review, prior art search, epitope identification. Uses an 8-phase pipeline with quality gates and persistent memory. Use this skill whenever researching a protein target,…
原文语言：英语
Structure prediction using Protenix v1 (AF3-class, 368M params). Use this skill when: (1) Predicting protein or complex structure from sequence, (2) Validating designed binders by refolding, (3) Generating confidence metrics (ipTM, pTM, pLDDT), (4) Multi-seed…
原文语言：英语
Hypothesis-debate pattern for design strategy selection. Spawns competing strategy agents and uses adversarial ranking to select the best approach before committing GPU compute. Use when starting a new campaign, facing a novel target, or when multiple viable…
原文语言：英语