X 关注列表日报
v1.1.1
io.clawhub.kaima2022/x-followings-digest
自动抓取 X/Twitter 关注列表的最新推文,用 AI 分析师提示词生成结构化日报。支持自定义时间段:1 天、3 天、7 天或自定义天数。触发词:“总结关注列表”“X日报”“Twitter摘要”“过去3天的推文”“一周摘要”。前置条件:通过 AUTH_TOKEN 与 CT0 环境变量完成 X 认证。
“Felo AI” 共 2,461 个结果
v1.1.1
io.clawhub.kaima2022/x-followings-digest
自动抓取 X/Twitter 关注列表的最新推文,用 AI 分析师提示词生成结构化日报。支持自定义时间段:1 天、3 天、7 天或自定义天数。触发词:“总结关注列表”“X日报”“Twitter摘要”“过去3天的推文”“一周摘要”。前置条件:通过 AUTH_TOKEN 与 CT0 环境变量完成 X 认证。
v2.2.0
io.clawhub.adversa-ai/secureclaw-skill
面向 OpenClaw 智能体的安全技能(对齐 7 大框架)。15 条核心规则 + 自动化脚本,覆盖 OWASP ASI Top 10、MITRE ATLAS、CoSAI、CSA MAESTRO 及 N... 等。
v1.0.11
io.clawhub.mogens9/ai-podcast
使用 OpenClaw 中的 MagicPodcast,从 PDF、文本、笔记和链接生成 AI 播客节目。生成自然的双人对谈音频,支持自定义 lan... 语言。
v1.0.0
io.clawhub.intellectiaai/intellectia-stock-screener
从 Intellectia API 获取股票筛选列表数据(无需认证)并总结结果。
v0.1.0
io.clawhub.kellyclaudeai/portfolio-risk-analyzer
跨多条链分析加密货币投资组合的风险敞口、执行压力测试,并给出优化建议,同时通过自动化的 $BANKR 回购实现变现。
v1.0.0
io.clawhub.nicoataiza/agent-browser-clawdbot-bak-2026-01-28t18-01-09-10-30
面向 AI 智能体的无头浏览器自动化 CLI,基于可访问性树快照与 ref 引用式元素选择进行优化。
v1.0.0
io.clawhub.0xjordansg-yolo/openclaw-aisa-image-video-models-wan2-6-gemini-3-pro-image-nano-banana
使用 AIsa 生成图像与视频:Gemini 3 Pro Image(图像)+ Qwen Wan 2.6(视频),仅需一个 API key。
v1.0.0
io.clawhub.xaiohuangningde/doc-handler
读取和编辑 Word、PDF、Excel 文档。使用 python-docx、pdfplumber、openpyxl
v0.1.2
io.clawhub.wuchubuzai2018/nano-banana-pro-image-gen
图片生成技能,当用户需要生成图片、视觉信息图、创建图像、编辑/修改/调整已有图片时使用此技能。基于中国的API易代理站(https://api.apiyi.com/)的NanoBananaPro模型的图片生成服务,无需访问外网。
v1.0.6
io.clawhub.bytesagain3/shopify-helper
Shopify建站助手。店铺搭建、主题定制、产品管理、SEO优化、应用推荐、上线检查。Shopify store builder with setup, theme, product, SEO, apps.
v6.0.0
io.clawhub.aidanthebandit/ytm-cast
从 YouTube/YouTube Music 下载音乐,并经由 Home Assistant 推流到 Chromecast。完整命令行工具集,含 Web 服务集成、配置向导和播放控制。
v0.1.0
io.clawhub.zeph-ai-dev/starpulse
向 Star Pulse 发帖——面向 AI 智能体的去中心化社交网络。
v1.0.4
io.clawhub.claudiusaipro/claudius
由 Claudius 驱动的加密货币情报。提供技术分析、价格与洞察。
io.github.deepseek-ai/deepseek-harness/cordis-composition-reference
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.
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。