القائمة
微信公众号文章发布专业版。功能：1)联网搜索热点信息 2)AI生成微信公众号封面图 3)撰写3000-5000字深度文章 4)使用公众号AI配图功能自动生成并上传封面 5)参考刘润公众号风格写作 6)自动排版 7)不加话题标签
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Predict protein structure for monomers and multimers with AlphaFold2 via the ColabFold runner (Mirdita et al. 2022, github.com/sokrypton/ColabFold; AlphaFold2 Jumper et al. 2021). Reach for this skill to fold a sequence or complex with the AF2/AF2-Multimer evoformer, to validate designed sequences by self-consistency pLDDT, ipTM, and RMSD, or to run a quick MSA-backed prediction using the public MMseqs2 server.
Structure prediction for protein, nucleic-acid, and small-molecule complexes with Boltz-2 (Passaro & Wohlwend et al. 2025, github.com/jwohlwend/boltz). Reach for this skill to validate designed binders against a target, to co-fold a protein with a SMILES or CCD ligand, or to get an open-source AlphaFold3 alternative with optional binding-affinity prediction.
Predict genome-wide functional tracks (RNA-seq, CAGE, DNase, ChIP) from DNA sequence with Borzoi. Use this skill when: (1) Scoring the regulatory effect of a variant on expression/accessibility, (2) Generating predicted coverage tracks for a locus, (3) Prioritising non-coding variants by predicted track delta.
Structure prediction for protein, nucleic-acid, and small-molecule complexes with the Chai-1 foundation model (Chai Discovery 2024, github.com/chaidiscovery/chai-lab). Reach for this skill to predict an antibody-antigen or protein-ligand complex from a single FASTA, to re-fold designed binders as an AlphaFold-multimer alternative, or to drive co-folding from Python for batched campaigns on a GPU.
Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its own software stack, or wiring weight caches. Triggers on "new compute provider", "set up env on", "port env to", "build GPU image", "weight cache", "compute_details", "conda env on the box", "apptainer on slurm".
| name | wechat-article-pro |
| description | 微信公众号文章发布专业版。功能：1)联网搜索热点信息 2)AI生成微信公众号封面图 3)撰写3000-5000字深度文章 4)使用公众号AI配图功能自动生成并上传封面 5)参考刘润公众号风格写作 6)自动排版 7)不加话题标签 |
# 大标题（文章核心观点）
## 小标题1：第一个分论点
- 案例/故事
- 分析
- 结论
## 小标题2：第二个分论点
- 案例/故事
- 分析
- 结论
## 小标题3：第三个分论点
- 案例/故事
- 分析
- 结论
## 总结
- 核心观点回顾
- 行动建议
使用 web_fetch 搜索主题相关热点信息。
根据以下模板撰写3000-5000字文章：
开篇（200-300字）
正文（2500-4000字）
总结（200-300字）
输入用户给定的主题或AI生成的相关标题。
使用合理的小标题分层，段落简洁。
直接点击「保存」按钮，将文章保存到草稿箱即可。