liquid-glass-design(液态玻璃设计)
io.github.affaan-m/ECC/liquid-glass-design
日语翻译:此文件需要 liquid-glass-design 的日语翻译
“github gitlab git pull” 共 6,464 个结果
io.github.affaan-m/ECC/liquid-glass-design
日语翻译:此文件需要 liquid-glass-design 的日语翻译
io.github.affaan-m/ECC/llm-trading-agent-security
日语翻译:此文件需要 llm-trading-agent-security 的日语翻译
io.github.affaan-m/ECC/perl-testing
日语翻译:该文件尚缺 perl-testing 的日语译文。
io.github.affaan-m/ECC/nestjs-patterns
日语翻译:该文件尚缺 nestjs-patterns 的日语译文。
io.github.affaan-m/ECC/mcp-server-patterns
日语翻译:该文件尚缺 mcp-server-patterns 的日语译文。
io.github.affaan-m/ECC/blueprint
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects: one-PR-sized steps with self-contained context briefs, dependency graph with parallel-step detection, adversarial review gate, and plan mutation protocol. Use when planning a large feature, refactor, or roadmap that spans multiple PRs or sessions; not for single-PR tasks or when the user says "just do it".
io.github.koala73/worldmonitor/fetch-country-brief
按 ISO 3166-1 alpha-2 国家代码,获取当前的 AI 生成战略情报简报。当用户询问某国当前地缘政治、经济或安全局势摘要时使用。
io.github.ruvnet/RuView/device-access
Reach RuView sensing hardware from the machine it is attached to — ESP32 CSI nodes (serial + UDP stream), 60 GHz MR60BHA2 / 24 GHz LD2410 mmWave radars, RPLIDAR and iPhone LiDAR — and from other machines over SSH, read-only.
io.github.K-Dense-AI/scientific-agent-skills/biopython
Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.
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.
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.
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.
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.
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.
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.
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.
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.
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。
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。
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。
io.github.K-Dense-AI/scientific-agent-skills/pylabrobot
开发和审查 PyLabRobot 实验室自动化资源、液体处理方案、离线仿真与受支持设备集成。用于 PyLabRobot 协议或 API 相关问题;物理执行必须置于显式的操作员安全门之后。
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。
io.github.K-Dense-AI/scientific-agent-skills/rowan
Rowan 是带 Python API 的云原生分子建模与药物化学工作流平台。适用于 pKa 与大分子 pKa 预测、构象与互变异构体系综、对接与类似物对接、蛋白-配体共折叠、MSA 生成、分子动力学、通透性、描述符工作流,以及相关的小分子或蛋白建模任务。适合程序化批量筛选、多步化学流水线,以及原本需要自建 HPC/GPU 基础设施的工作流。
io.github.K-Dense-AI/scientific-agent-skills/pyzotero
使用 pyzotero Python 客户端操作 Zotero 参考文献库。通过 Zotero Web API v3 检索、创建、更新和删除条目、合集、标签与附件。适用于以编程方式操作 Zotero 文库、管理文献引用、导出引文、检索文库内容、上传 PDF 附件,或构建与 Zotero 集成的科研自动化工作流。