InternScience

Use the ACPX CLI through DrClaw's existing exec/long_exec tools to run Codex in the current project workspace.

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

Convert a user style request into concrete rewrite constraints and apply that style during de-flavoring. Use when the user specifies a target tone, audience, or writing persona.

Diagnose formulaic writing patterns and authorial gaps before rewriting. Use when text feels generic, over-smoothed, abstract, or structurally mechanical and you need a targeted edit plan.

Guard against meaning drift during de-flavor rewrites. Use when rewriting text to sound more natural without adding facts, changing claims, or losing important constraints.

Rebuild specificity, texture, and authorial judgment in a rewrite without inventing facts. Use when text feels abstract, generic, over-smoothed, or full of empty framing.

Retrieves papers the user browsed today, downloads PDFs, generates summaries, and returns an enriched list. Use when the user asks what papers they read today, wants a summary of today's papers, or asks about their recent reading activity.

Search and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.

Multi-Omics Integration - Integrate transcriptomics (TCGA), proteomics (UniProt), pathway enrichment (STRING), and metabolic pathway (KEGG) data for a target gene. Outputs a unified JSON report combining expression profiles, protein annotations, enriched pathways, and KEGG pathway details.

ADMET & Drug-Likeness Report - Generate comprehensive ADMET and drug-likeness report: molecular properties, H-bond analysis, hydrophobicity, topology, and ADMET prediction. Use this skill for medicinal chemistry tasks involving calculate mol basic info calculate mol hbond calculate mol hydrophobicity calculate mol topology pred molecule admet. Combines 5 tools from 2 SCP server(s).

Affinity Maturation Pipeline - Affinity maturation: compute binding affinity, predict mutations, compute hydrophilicity, and predict drug-target interaction. Use this skill for antibody engineering tasks involving ComputeAffinityCalculator zero shot sequence prediction ComputeHydrophilicity PredictDrugTargetInteraction. Combines 4 tools from 3 SCP server(s).

Alanine Scanning Mutagenesis Pipeline - Alanine scanning: design scan, compute properties for each mutant, predict interactions, and compare. Use this skill for protein biochemistry tasks involving AlanineScanningDesigner ComputeProtPara PredictDrugTargetInteraction calculate protein sequence properties. Combines 4 tools from 3 SCP server(s).

Ring System Analysis - Analyze ring systems: count aliphatic carbocycles, analyze aromaticity, compute topology, and structure complexity. Use this skill for organic chemistry tasks involving GetAliphaticCarbocyclesNum AromaticityAnalyzer calculate mol topology calculate mol structure complexity. Combines 4 tools from 3 SCP server(s).

AlphaFold Structure Analysis Pipeline - AlphaFold pipeline: download predicted structure, predict pockets, extract sequence, and compute properties. Use this skill for computational biology tasks involving download alphafold structure run fpocket extract pdb sequence calculate pdb basic info. Combines 4 tools from 3 SCP server(s).

Antibody Drug Development - Develop antibody drug: target protein analysis, biotherapeutic lookup, protein properties, and interaction prediction. Use this skill for biologics tasks involving get uniprotkb entry by accession get biotherapeutic by name ComputeProtPara ComputeHydrophilicity. Combines 4 tools from 3 SCP server(s).

Antibody-Target Analysis - Analyze an antibody target: UniProt protein info, InterPro domains, protein properties, and biotherapeutic data from ChEMBL. Use this skill for immunology tasks involving get uniprotkb entry by accession query interpro ComputeProtPara get biotherapeutic by name. Combines 4 tools from 4 SCP server(s).

Predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the input molecules.

Predict binding affinity between target protein sequence and small molecule SMILES using Boltz-2.

Predict protein structures with Chai-1 from sequence or FASTA input and return model scoring summaries.

Chroma toolkit skill covering chroma_monomer for single-chain generation, chroma_complex for multi-chain assembly generation, and chroma_symmetry for symmetry-constrained protein design.

Retrieve SMILES strings from PubChem database using compound names.

Generate new molecules de novo.

[CURRENTLY UNAVAILABLE] DiffDock protein-ligand docking. This tool is not deployed on the current MCP server. Use molclaw-quickvina-docking or molclaw-karmadock-tool as alternatives.

Calculate disease reversal scores for the provided molecules relative to a specific disease.

Extract structured chemical compound characterization data from chemistry supplementary material documents (PDF/Markdown). 从化学论文补充材料(PDF/Markdown)中提取结构化化合物表征数据。 Use when Kimi needs to extract compound properties including NMR spectra, HRMS, HPLC data, melting points, optical rotation, and yield information from chemistry research papers or supplementary materials. 支持提取NMR谱图、HRMS、HPLC数据、熔点、旋光度、产率等信息。 Supports both single compound extraction and batch extraction of all compounds. 支持单个化合物提取和批量提取所有化合物。

Convert Gaussian gjf input files to XYZ format. 将Gaussian gjf输入文件转换为XYZ格式。 Use when agent needs to convert molecular structure files from Gaussian input format (.gjf) to XYZ format for visualization or use with other computational chemistry software. 当智能体需要将Gaussian输入格式(.gjf)的分子结构文件转换为XYZ格式用于可视化或其他计算化学软件时使用。

Convert PDF files to Markdown using MinerU API. 使用MinerU API将PDF文件转换为Markdown格式。 Use when Kimi needs to extract structured text, images, tables, and formulas from PDF documents while preserving document layout and formatting. 适用于需要提取结构化文本、图片、表格和公式并保留文档布局的场景。 Supports batch conversion and outputs full.md with images/, JSON metadata, and other extracted assets. 支持批量转换，输出full.md、images/目录、JSON元数据等。 Now supports large PDFs (600+ pages) by automatic splitting and merging. 现已支持大文件(600+页)自动拆分和合并处理。

Extract DFT calculation coordinates from PDF files and generate Gaussian gjf files. 从PDF文件中提取DFT计算坐标并生成Gaussian gjf输入文件。 Supports batch processing with separate output folders for each PDF. 支持批量处理，每个PDF单独生成输出文件夹。

Predict and visualize MS/MS spectra from a single SMILES using the fioRa online app. Use when the user wants a mass spectrum, MGF/MSP output, or a plotted stick spectrum from SMILES, with optional custom Name, precursor type, collision energy, and instrument settings.

Predict liquid-phase ¹H and ¹³C NMR chemical shifts from a SMILES string using NMRNet (deep learning, SE(3)-Transformer). Outputs per-atom shift values (ppm) and Lorentzian-broadened spectrum PNG files.

使用半经验方法 (xTB) 对分子三维结构进行几何优化，支持 SMILES 自动转 3D、XYZ 文件输入，输出优化后坐标、能量、收敛状态。

预测小分子多种物化性质（沸点、折射率、密度、黏度、表面张力等），当前已真实接入 bamboo_mixer 单分子物性模型后端。

Multi-dimensional rubric judging for scientific artifacts, inspired by G-Eval style stepwise evaluation.

Evidence-heavy claim scrutiny for scientific artifacts, inspired by JudgeLM-style critical review and overclaim detection.

Head-to-head revision judging for scientific artifacts, inspired by pairwise evaluation methods such as AlpacaEval-style comparisons.

Balanced scientific artifact judging with explicit tie handling and stable cross-example calibration, inspired by PandaLM-style evaluation.

Strict criterion-by-criterion grading for scientific work, inspired by Prometheus-style rubric evaluation.