Use when writing or reading a Cordis bundle patch or agent preset for this harness and you need the Loader YAML dialect (insert, override by id, group, disabled, isolate, !!js) or the list of installable Harness plugin packages and what each provides.

source

在 SkillsMP 查看

polars-bio

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/polars-bio

Performs genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.

source

在 SkillsMP 查看

imaging-data-commons

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/imaging-data-commons

Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata and download routes without authentication; optional BigQuery and Google Healthcare routes require Google credentials.

source

在 SkillsMP 查看

cantera

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/cantera

Runs Cantera homogeneous chemical reactors and evaluates ignition delay with mechanism provenance, conservation checks, and numerical refinement. Use for combustion kinetics, closed adiabatic ideal-gas constant-volume or constant-pressure ignition, temperature histories, or mechanism-specific ignition-delay comparisons.

source

在 SkillsMP 查看

pycalphad

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/pycalphad

Computes finite-temperature CALPHAD equilibria, phase fractions, and phase compositions from thermodynamic TDB databases using pycalphad. Use for alloy phase stability, equilibrium temperature sweeps, tie lines, lever-rule checks, or reproducible phase-fraction calculations with explicit components and mole-fraction conditions.

source

在 SkillsMP 查看

pydeseq2

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/pydeseq2

Performs bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates.

source

在 SkillsMP 查看

dask

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/dask

Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and dependency structure require Dask.

source

在 SkillsMP 查看

matlab

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

source

在 SkillsMP 查看

geomaster

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/geomaster

Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation. Use when processing satellite imagery, aligning coordinate systems and raster grids, accessing STAC catalogs, analyzing geospatial time series, or implementing scientific GIS workflows in Python, R, Julia, JavaScript, C++, Java, Go, or Rust.

source

在 SkillsMP 查看

opentrons-integration（Opentrons 机器人协议）

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/opentrons-integration

为 Flex 与 OT-2 机器人编写、审查、迁移、仿真并排查官方 Opentrons Python Protocol API v2 协议。适用于机器人专属的液体处理、deck 与 labware 设置、移液器、模块、运行时参数、液体类别，以及 Opentrons App 分析。当同一工作流需要支持多品牌机器人时改用 pylabrobot。

source

在 SkillsMP 查看

gtars（基因组区间计算）

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/gtars

在 Python、Rust 与 CLI 中使用 Gtars 完成本地基因组区间模型与集合代数、重叠与计数、consensus 与覆盖度、tokenization、片段处理，以及 refget/BEDbase 规划。

source

在 SkillsMP 查看

networkx（图与网络分析）

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/networkx

使用 NetworkX 在 Python 中创建、分析和可视化复杂网络与图。适用于处理网络/图数据结构、运行图算法（最短路径、中心性、聚类）、社区发现、生成合成网络（随机图、无标度图、小世界图）、读写图文件格式，或绘制网络拓扑。常见应用包括社交、生物、交通与引文网络。

source

在 SkillsMP 查看

latchbio-integration（Latch 生信工作流）

SkillSkillsMP

io.github.K-Dense-AI/scientific-agent-skills/latchbio-integration

使用 Python SDK、CLI、Latch Data 与 Registry、Nextflow、Snakemake、程序化执行与 Latch MCP，在 Latch 平台上构建、注册、调试并运行生物信息学工作流。适用于编写或部署 Latch 工作流、配置资源或接口、搬运数据、集成 Registry，以及启动和监控运行。

source

在 SkillsMP 查看

传输类型是什么？

stdio（本地进程）— MCP 以子进程运行在本地，通过标准输入/输出与 Cursor、Claude 等通信。最常见，适合 npx/uvx 启动的工具。
streamable-http（远程 HTTP）— MCP 托管在远程服务器，客户端通过 HTTP 连接。适合团队共享或无法本地安装的服务。
sse（远程 SSE）— 通过 Server-Sent Events 长连接访问远程 MCP。部分托管平台使用此方式。

来源

全部来源官方 MCP Registry SkillsMP ClawHub smithery GitHub GitHub 中文 MCP Hub 中国

领域

全部领域数据库自动化搜索浏览器设计测试 AI 辅助文件工作流