Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

skills in category: 12,625
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Showing 1,249–1,272 of 12,625 skills

Dashboard DesignADesign a Power BI dashboard FROM approved metric contracts in the Seshat BI repo. Use when someone asks to design a report/page, bind visuals to metrics, or produce a dashboard layout for a subject area whose semantic model is ready. This skill is HARD-GATED on semantic_model_ready: pass (no approved metric contracts -> no design); it authors reviewable design guidance only -- a layout plan, a visual list, and a visual->contract binding map where every visual binds to exactly one approved con...datagosqlVotes: 0GitHub stars: 2
Dagster Orchestration AdapterARun the medallion sequence UNATTENDED / in CI as a Dagster asset graph -- the scheduler sibling of the retail-orchestrate conductor -- running ONLY already-approved steps behind every gate, and recording what each asset DID as DERIVED run-evidence. Use when someone asks to schedule the pipeline, run the medallion in CI, "orchestrate unattended", or wire Dagster in the Seshat BI repo. Dagster RUNS approved steps; Tower BI (the gate exit code + the named human) decides whether a stage passed. T...datarustgoVotes: 0GitHub stars: 2
Cross Table LineageATrace column- and table-level lineage across bronze/silver/gold in the Seshat BI repo and report the downstream impact of a change. Read-only: it reads committed SQL and mappings, opens no database, and edits nothing.datagosqlVotes: 0GitHub stars: 2
Consumer Data DictionaryAGenerate a consumer-facing data dictionary from committed gold-layer artifacts and approved metric contracts. Use when someone asks for a data dictionary or column glossary for report users. Authors documentation only and invents no business meaning.datagosqlVotes: 0GitHub stars: 2
CapabilitiesAShow the read-only capability inventory for this kit -- each capability by lifecycle state, authority, requirements and provenance. Use when someone asks what the kit can do or what works without a database. Writes nothing and emits no score.datapythongoVotes: 0GitHub stars: 2
Business Knowledge InterviewAAfter a database is discovered and profiled, interview the business owner to capture the meaning-critical decisions the rest of the Database-to-PBIP flow depends on -- KPI meaning, PII handling, table grain, primary keys, relationships, missing-value rules, and ambiguous financial/quantity/date columns -- and record every outcome in the project Decision Store. Use when someone asks to run the interview, capture business knowledge, or resolve the business questions behind a model in the Seshat...datagodatabaseVotes: 0GitHub stars: 2
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Approval Evidence PackAAssemble a reviewable evidence pack behind a readiness approval in the Seshat BI repo. Use when someone asks to package the evidence for a stage sign-off. Read-only: it collects committed evidence and never grants the approval.datagoshellVotes: 0GitHub stars: 2
Approval ConsoleAPackage a raised judgment call into a reviewable decision package, then record a named human's answer into the committed readiness artifacts. Use for sign-off packaging or recording a decision. It only transcribes a decision a human supplied.datapythongoVotes: 0GitHub stars: 2
Vectorize ImageATrace a bitmap (PNG/JPG/WebP/GIF/BMP) to clean vector art — SVG, PDF, EPS, DXF, or PNG — through the Vectorizer.AI API, with the credit budget guarded by a free test mode. Use when asked to vectorize, trace, or convert a raster image to SVG/vector, to turn a coloring outline or logo into scalable paths, or to call Vectorizer.AI at all. Covers auth, every API parameter, output options, errors, and the credit-cost model.datagobashVotes: 0GitHub stars: 7
Resume HandoffAPick up in-flight work from a transfer packet in docs/handoff/. Verifies the packet against the current repo, reports what's stale/missing, deletes the consumed handoff, then continues the work. Use when the user says to "resume", "pick up the handoff", "continue where we left off", or names a handoff to resume. To write a handoff, use create-handoff instead.datarustgoVotes: 0GitHub stars: 7
Publish ArtifactsAAttach the built .aab/.ipa to the GitHub Release for a version, verifying each artifact's embedded version first. Use after the cut-release and build skills, or whenever a GitHub Release is missing its binaries or has the wrong ones attached.datagitVotes: 0GitHub stars: 7
Cloud PreviewAClaude Code Cloud session only — start the dev server + reverse tunnel and report the public phone-preview URLdataapiVotes: 0GitHub stars: 7
Audit ExtractionsAScan the codebase for inline code blocks worth extracting into standalone, named, testable functions, and file them as findings in docs/AUDIT.md. Use when asked to find extraction/refactor-into-function candidates or to improve readability by naming inline logic.datagoVotes: 0GitHub stars: 7
ApiAHTTP API reference for the /api/* endpoints — generate-image, report-image, verify-access-code, verify-key, report, csp-report, and the admin bearer-session endpoints, plus the CORS, rate-limiting, and auth model. Use before adding, changing, or calling any /api endpoint.dataapiVotes: 0GitHub stars: 7
AdrsAIndex of all architectural decision records (ADRs). Use before proposing, discussing, or questioning any architectural approach, or when asked why something is built the way it is.dataVotes: 0GitHub stars: 7
Local Python ToolsA本地 Python 第三方工具集成的 AI 辅助工作流。当用户需要以下操作时激活：(1) 获取股票、基金、期货、宏观等金融数据（akshare/tushare）；(2) 创建或编辑 Word、Excel、PowerPoint 文件（python-docx/python-pptx/openpyxl/xlsxwriter）；(3) 网页内容抓取、解析、提取（requests/beautifulsoup4/lxml/curl_cffi）；(4) 图片处理（裁剪、压缩、格式转换）；(5) 任何涉及 pandas 数据分析、JSON/表格处理的任务。直接在本地 Python 环境执行所有操作，无需调用外部付费 API。datapythonapiVotes: 0GitHub stars: 2
Bailian MaxperfAOptimize Alibaba Bailian provider for accurate token statistics and official model configurations. Fixes token usage mapping (prompt_tokens → input_tokens) and updates 8 models to 2026 specs.datapythonbashVotes: 0GitHub stars: 2
Circadian EvolutionAImplements a circadian self-improvement cycle for agents: day full agentic grind → evening analysis (detect >60% redundant/saturated data) → night targeted fine-tuning (LoRA/Unsloth/pruning on daily errors) → morning reboot with +15-25% density and zero noise.datapythonapiVotes: 0GitHub stars: 2
MrscraperAMrScraper unblocker and AI scraping tools for blocked pages and structured extraction.dataapiVotes: 0GitHub stars: 2
Jev WriterAAnalyse published writing or pre-flight audit drafts to find which qualities predict engagement or meet technical craft bars. Supports LinkedIn posts, technical blogs, technical short-form posts/threads, and general essays. Walks users through exports, API keys, and pre-flight reviews. Analyses existing writing; it does not write or generate text.datagobashVotes: 0GitHub stars: 2
china-market-dataA当任务需要实际获取A股及相关市场数据，或进行证券代码归一化与聚宽格式转换时使用——行情/K线/逐笔(腾讯日周月前后复权+分钟线+当日逐笔、通达信官网全市场盘后包、百度)、研报(东财+新浪+同花顺+iwencai)、信号(热点/北向/龙虎榜/解禁/行业/板块资金流)、资金面(融资融券/大宗/股东户数/分红/资金流/ETF份额)、新闻(财联社/东财/华尔街见闻/新闻联播)、财务三表/F10/估值历史/ST名单、公告(巨潮)、打板(涨停池/连板/炸板率/监控池/异动)、ETF期权、舆情互动(互动易/上证e互动/热榜)、筹码分布、复权因子、申万行业变迁、宏观与利率(社融/PMI/中债收益率曲线/回购定盘利率/LPR/全球宏观日历)、指数成分/权重/估值/交易日历、期货与大宗商品(五家期货交易所日行情/商品与股指期权/持仓排名/期货日K含大商所/实时期货/A50/上海金)、事件驱动(业绩预告/机构调研/增减持/回购/股权质押/新股申购)、可转债等真实数据。十五层·87端点(含5备胎)·34个来源·附可运行代码，§1–§15 数据入口及五个备用入口使用随附 scripts；估值计算使用 va...datapythongoVotes: 0GitHub stars: 7
PackageAUse this skill when working with the nuxt-ui-tools package as a consumer or integrator. It provides the current package overview and routes to table, form, dashboard, file preview, query-state, shared responsive helpers, remote option loaders, and i18n usage.dataapiVotes: 0GitHub stars: 2
Oneil CanslimAA股威廉·欧奈尔CANSLIM七要素打分器：C最新季净利润同比≥25%、A近3年年度增长、N距250日新高≤15%、S量能放大、L相对沪深300超额强度、I机构持股、M大盘50日均线趋势，输出逐字母通过表与池内RPS百分位 | A-share William O'Neil CANSLIM 7-letter screener: quarterly earnings yoy, annual growth, 250d-high proximity, volume surge, excess relative strength vs CSI300, institutional holdings, market trend | A株ウィリアム・オニールCANSLIM7要素スクリーナー：四半期利益YoY、年間成長、250日高値接近、出来高急増、相对強度、機関保有、市場トレンドdatapythonbashVotes: 0GitHub stars: 19
Li Lu Value CompoundingAA股李录价值复利投资法：长期高ROE（资本回报质量）、ROE复利趋势（近2年vs前3年不失速）、利润再投资成长、盈利含金量、PE/PB历史低分位安全边际、低负债六维打分，找"持续创造价值的复利机器" | A-share Li Lu value-compounding investing: sustained high ROE, ROE trend (recent 2yr vs prior 3yr), reinvestment growth, cash quality, low PE/PB historical percentile margin of safety, low leverage | A株李録バリュー複利投資法：持続的高ROE、ROEトレンド、再投資成長、キャッシュの質、PE/PB歴史低パーセンタイルの安全マージン、低負債の6次元datapythonbashVotes: 0GitHub stars: 19