Skills DirectoryData & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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大师会诊——4种投资视角×3档深度，多视角审视标的，发现单一视角的盲区。 触发：「帮我看看这个能不能买」「这个标的怎么样」「多几个角度看看」「大师怎么看」「圆桌」「会诊」
投资分析 CLI — 数据获取 + 分析框架一体化，dual-mode 运行。 触发：「/cli」「/投资cli」「invest cli」「终端分析」「命令行分析」 或：「用cli分析」「终端查一下」「命令行看看」 命令入口：`invest-cli stock 600519`（PATH 无 invest-cli 时兜底：`"$HOME/.local/bin/invest-cli" stock 600519`——wrapper 优先用 skill 自带 venv，含 yfinance）
全能证券分析师工作台——把零散金融工具串成机构级工作流。覆盖个股IC研报、主题策略、事件驱动（电话会/业绩/政策/并购）、一致预期整合、行业比较、市场日报六大场景。 触发：「出一份茅台的IC报告」「写一份XX的行业深度」「XX业绩电话会纪要」「怎么看待XX政策/并购」「这个产业链有哪些标的」「分析师一致预期」「今天市场怎么样」「出个日报晨报」「这个投资论点怎么写」。 与invest系列区别：invest-stock/fund做「买不买」的判断，invest-analyst做「怎么写/怎么产出」的机构级内容交付。行业本身「是什么」走 taxue-industry，invest-analyst 做的是「这个行业怎么投」。
invest系列：资产配置。判断股债商比例是否合理，单一品种分析与组合配置相结合。 触发：「资产配置」「股债比例」「组合调整」「再平衡」「大类资产配置」「投资组合」
invest系列主入口。识别标的类型，路由到专业分析工具。覆盖个股（A股/港股/美股/机构深度）、基金、单一资产（债券/可转债/大宗商品含黄金十维度/REITs）、宏观与市场环境、机构级内容产出、资产配置、大师会诊；取数统一走 invest-cli（多源数据层：腾讯行情/腾讯微证券/同花顺/东财/yfinance/SEC EDGAR/FRED/Wind/盈米/天天基金官方 ttskill + argo 财经垂直源，quote/kline/westock/intent/info/datasources 统一入口）。 触发：「分析一下」「看看这个」「值得买吗」「这只怎么样」「资产配置」「大师怎么看」「基金分析」「股票分析」「黄金能买吗」「转债」「REITs」「债券」「流动性」「市场环境」「出个研报」「自选股」「/cli」 Invest series entry. Route by asset type to a dedicated reviewer. Unified data layer via invest-cli (Tencent quotes / Tencent WeSto...
> 生产级 llm-wiki Skill 封装，多平台适配，社区 1.3k stars
Authoring standalone HTML artifacts — `scripts/<name>/main.html` documents that Fused and Flow serve full-bleed and wire to a `window.fused` runtime (callUdf / runSql / params). Use when the output of a project is a bespoke interactive HTML page — a custom chart, a form, a report, a small app — that calls UDFs and runs SQL directly, rather than a JSON-UI widget. Covers the `window.fused` API, the `{{ref}}`/`$param` data grammar, load-order gotchas, host differences, and how the artifact gets ...
Review mathematical modeling competition papers from a complete problem and paper, with an optional strict bzd-paper-format-checker audit, itemized problem-specific scoring, a bottom-up low-score safeguard, and CUMCM award calibration by problem type, division, region, school and advisor. Generate a Chinese HTML judge report.
Scaffold a new PortalJS data portal from a brief. Copies the canonical template from examples/portaljs-catalog and substitutes project tokens. Use when starting a brand-new data portal project from scratch.
Migrate (harvest) datasets between open-data platforms. Reads CKAN, a DCAT-US /data.json catalog (DKAN, ArcGIS Hub, data.gov), a DCAT / DCAT-AP RDF feed (JSON-LD, Turtle, or RDF/XML), Socrata, OpenDataSoft, or an ArcGIS FeatureServer, and writes them to a static PortalJS catalog or pushes them into a CKAN instance over its API. Use when moving datasets from an external open-data platform into a PortalJS portal, or bridging one CKAN instance to another.
Deploy a PortalJS portal to PortalJS Arc — Datopian-managed static hosting on Cloudflare. Builds a static export, uploads it, and returns a live SLUG.arc.portaljs.com URL. One command, one target. Use when a portal is ready to publish or redeploy to a live URL.
Define a dataset's metadata profile — infer a Frictionless Table Schema from its data, add Data Package metadata (license, sources, keywords), and write it into datasets.json so the showcase renders a typed field table. Extend or customize via the L0-L3 profile ladder. Use when a registered dataset needs field types, constraints, or catalog metadata before publishing.
Wire a scaffolded PortalJS portal to a CKAN backend over its API. Generates a tiny server-side fetch client (no runtime dependency) and feeds the /search catalog and /@namespace/slug showcases from CKAN instead of datasets.json. Use when connecting an existing portal to a live CKAN instance instead of a static manifest.
Audit a local or remote tabular file (CSV/TSV) for common data quality issues — schema, nulls, types, duplicates. Read-only. Use when a dataset needs a quality check before publishing, or a showcase renders wrong (blank cells, garbled numbers, an unsortable date column) and the cause needs isolating.
Recommend a data-portal architecture (storage, compute, catalog, access, hosting, metadata) from stated needs, then hand off to the build skills. The advisory entry point. Use when starting a new data-portal project and the underlying architecture has not yet been decided.
Add another file (resource) to an EXISTING dataset in a PortalJS portal — a data dictionary, methodology, or an additional data file. Turns a single-file dataset into a multi-resource one; the showcase renders a section per resource. Use when a dataset needs a second file, such as a data dictionary, methodology doc, or an additional period's data.
Render a GeoJSON dataset on an interactive Leaflet map in the Views section of a dataset's showcase. Installs react-leaflet and a Map component, then renders the map for the chosen dataset. Use when a dataset's data is geographic and a map view is needed alongside the showcase's default metadata and download.
Auto-ingest a geospatial file (GeoJSON, Shapefile, GeoPackage, KML/KMZ, FlatGeobuf, CSV-with-geometry) into a PortalJS portal on the user's own machine, with no server. Normalizes CRS to EPSG:4326, derives a PMTiles render tier and a GeoParquet query tier, pushes all three artifacts to Cloudflare R2 via Git LFS, and appends one dual-tier datasets.json entry the showcase auto-renders. Use when the source is a vector geo format that needs a map or spatial-query view.
Make a PortalJS portal harvestable by national/EU/US open-data portals — emit standards-compliant DCAT catalog feeds (DCAT 2/3, DCAT-AP, DCAT-US, national profiles) in JSON-LD, Turtle, and RDF/XML at build, with autodiscovery and per-profile conformance checking. Use when a portal needs to be harvested by data.europa.eu, data.gov, or a national open-data catalog.
Add a dataset (CSV, TSV, JSON, or GeoJSON) to an existing PortalJS portal. Appends an entry to datasets.json so the catalog and showcase render it automatically; routes the data by source (local file vs remote URL) — R2 via Git LFS by default, remote URLs by passthrough. Use when registering a new dataset in a scaffolded portal.
Add a chart (line, bar, area, pie, or scatter) to a dataset's showcase in a PortalJS portal. Installs recharts, writes a reusable Chart component, and renders it in the showcase Views section. Use when visualizing a dataset already registered in datasets.json.
Migrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to Parquet, pushes everything to Cloudflare R2 via Git LFS, appends dual-tier datasets.json entries, and writes a source-vs-derived parity report. Use to move a City or sector ArcGIS Hu...
Vault-level content analytics — file creation trends, skill adoption, contact engagement, content distribution, pipeline outcome metrics (insights/tasks/changelog per meeting), and unprocessed backlog detection. Outputs to _analytics/ folder.
Stage a review-gated migration from one Fivetran connection to a new Bruin ingestr project.