搜索「Agent Persona」的结果

io.github.NousResearch/hermes-agent/google-workspace

通过 gws CLI 或 Python 访问 Gmail、Calendar、Drive、Docs、Sheets。

io.github.NousResearch/hermes-agent/powerpoint

使用 python-pptx 创建、读取与编辑 .pptx 演示文稿。

io.github.NousResearch/hermes-agent/watchers

轮询 RSS、JSON API 与 GitHub，并以水位线去重。

io.github.NousResearch/hermes-agent/oss-forensics

GitHub 供应链取证：恢复、IOC 提取与报告。

io.github.NousResearch/hermes-agent/mcp-oauth-remote-gateway

在无界面的远程网关上为远程 MCP 服务器手动完成 OAuth 授权。

io.github.NousResearch/hermes-agent/darwinian-evolver

使用 Imbue 的进化循环对提示词、正则、SQL/代码进行演化优化。

io.github.wshobson/agents/k8s-manifest-generator

遵循最佳实践与安全标准，为 Deployment、Service、ConfigMap 与 Secret 生成生产就绪的 Kubernetes manifest。在生成 Kubernetes YAML 清单、创建 K8s 资源或实施生产级 Kubernetes 配置时使用。

io.github.wshobson/agents/gitops-workflow

使用 ArgoCD 与 Flux 实现 GitOps 工作流，达成自动化、声明式的 Kubernetes 部署与持续调谐。在落地 GitOps 实践、自动化 Kubernetes 部署或配置声明式基础设施管理时使用。

io.github.NousResearch/hermes-agent/unreal-mcp

自动化 Unreal Engine 编辑器的场景、Actor 与渲染操作。

io.github.addyosmani/agent-skills/security-and-hardening

加固代码以抵御漏洞。在审计输入处理逻辑、处理用户输入/认证/数据存储/外部集成，或检查登录流程是否符合 OWASP Top Ten 时使用。在构建任何接收不可信数据、管理用户会话或对接第三方服务的功能时使用。在审计依赖已知漏洞、分诊包管理器审计结果或评估新包供应链风险时使用。涉及个人数据或隐私合规（GDPR、CCPA）时使用。

io.github.addyosmani/agent-skills/frontend-ui-engineering

构建生产级、可访问、响应式的用户界面。在构建或修改界面与页面、创建组件、实现布局、满足 WCAG 可访问性要求、管理状态时使用，或当产出需要达到生产质感而非 AI 生成感时使用。

io.github.addyosmani/agent-skills/shipping-and-launch

准备生产上线。在准备部署到生产环境，或询问上线前需要就绪哪些事项时使用。需要上线前检查清单、搭建监控、规划分阶段发布或制定回滚策略时使用。

io.github.addyosmani/agent-skills/api-and-interface-design

指导稳定的 API 与接口设计。在设计 API、模块边界或任何公共接口时使用；在创建 REST 或 GraphQL 端点、定义模块间类型契约、确立前后端边界时使用。

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。