数据与研究 Skills - 数据与研究 Agent Skills推荐与安装 - 第26页 - AI导哈

harvard-artifacts-etl-analyticsreason-machines/data-skillsBuild ETL pipelines and analytics dashboards for Harvard Art Museums API data with Python, SQL, and Streamlit2019 harvard-art-museum-etl-analyticsreason-machines/data-skillsBuild end-to-end data engineering pipelines with Harvard Art Museums API, ETL workflows, SQL analytics, and Streamlit visualization.2013 scrapy-web-scrapingmindrally/skillsExpert guidance for building web scrapers and crawlers using the Scrapy Python framework with best practices for spider development, data extraction, and pipeline management.2011 pymck-dense-ai/scie…t-skillsBuilds and checks Bayesian models with PyMC, including hierarchical models, NUTS MCMC, variational inference, mutable-data predictions, posterior predictive checks, diagnostics, and PSIS-LOO model comparison. Use for probabilistic modeling and uncertainty inference in PyMC.2011 option-vol-analysisanthropics/fina…servicesAnalyze option volatility by combining vol surface data, option pricing with Greeks, and historical price data to assess implied vs realized volatility. Use when pricing options, analyzing volatility surfaces, computing Greeks, assessing vol premiums, or evaluating vol trading strategies.2010 parallel-webk-dense-ai/scie…t-skillsUses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.2007 harvard-artifacts-data-engineering-pipelinereason-machines/data-skillsBuild ETL pipelines and analytics dashboards using Harvard Art Museums API with SQL storage and Streamlit visualization2005 academic-research-suiteimbad0202/acade…ls-codexARS-Codex research, writing, manuscript review, study screening, and experiments. Use for deep research, literature or systematic reviews, meta-analysis, research questions, drafts, revisions, roadmaps, abstracts, citations, integrity checks, peer review, research-to-paper. Screen records: sr-screener. Citation triggers: check citations, look over the refs, 檢查引用, 檢查參考文獻, 인용 확인, 인용 형식 검사. Korean: 논문 심사, 논문 수정, 초록 작성, 체계적 문헌고찰, 연구부터 논문까지. Español: revisión de literatura, revisar artículo, enmendar mi artículo, escribir resumen, investigación a artículo. Also use for ARS aliases: /ars-plan, /ars-outline, /ars-abstract, /ars-lit-review, /ars-citation-check, /ars-disclosure, /ars-format-convert, /ars-3w, /ars-revision-coach, /ars-revision, /ars-reviewer, /ars-mark-read, /ars-unmark-read, /ars-cache-invalidate, /ars-rebuttal-audit, /ars-full. Prompts, references, templates, and contracts live under ars/.2004 product-skillsalirezarezvani/…e-skillsUse when coordinating product work across the 12 bundled product sub-skills (RICE, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding) or the 4 standalone product-team plugins (user stories, Apple HIG, code-to-PRD, research summarizer). Triggers on 'help me prioritize', 'plan a product experiment', 'we ship features nobody uses', 'run the discovery loop', 'is our OST sound'. Forks context to route to one sub-skill via a deterministic signal router and returns a digest; can also drive a continuous-discovery loop (Torres cadence tracker + OST linter as machine gates) or a full goal→plan→execute→verify→close run through the repo-wide agent-harness. Distinct from project-management (how to deliver vs what to build), marketing/landing (from-scratch pages), and engineering/agent-harness (the generic loop engine this orchestrator plugs into).2004 binance-onchain-copy-traderbinance/binance…ills-hubScaffold for assembling on-chain copy-trading strategies on Binance Agentic Wallet. Wires the existing capabilities — address monitoring, signal subscription, address scoring, token audit, order placement, on-chain take-profit/stop-loss — into one runnable pipeline, and exposes every strategy decision as a hook. Ships no strategy of its own. Trigger on: copy trade, copy trading, follow smart money, follow a wallet, mirror trades, copy-trade bot, auto-buy on signal, monitor a wallet and trade, smart money copy trading, signal-driven trading, pick addresses to copy, copy-trade strategy, copy-trade status, copy-trade post-mortem. NOT for: single manual trades (use binance-agentic-wallet), signal queries alone (binance-trading-signal), address analysis alone (binance-wallet-tracker / binance-leaderboard).2004 data-analysislingzhi227/agen…h-skillsGenerate statistical analysis code with 4-round review. Select appropriate statistical tests, interpret results, and produce analysis reports with p-values, effect sizes, and confidence intervals. Use when analyzing experimental data for a paper.2003 business-analystaj-geddes/claud…d-skillsProduct discovery and requirements analysis specialist. Conducts stakeholder interviews, market research, problem discovery, and creates product briefs. Use for product brief, brainstorm, research, discovery, requirements gathering, problem analysis, user needs, competitive analysis, and setting foundation before product planning. Hands off to product manager when analysis complete.2002 harvard-artifacts-data-engineering-analyticsreason-machines/data-skillsBuild end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit2002 torch-geometrick-dense-ai/scie…t-skillsSupports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.1999 daily-stock-analysisreason-machines/trending-skillsLLM-powered A/H/US stock intelligent analysis system with multi-source data, real-time news, AI decision dashboards, and multi-channel push notifications via GitHub Actions.1999 biopythonk-dense-ai/scie…t-skillsProvides 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.1998 technical-analysisomer-metin/skil…igravityMaster of price action, chart patterns, and technical indicators - combining classical Wyckoff/Dow theory with modern quantitative validation for edge identificationUse when "technical analysis, chart pattern, indicator, RSI, MACD, support resistance, trend, candlestick, price action, fibonacci, trading, technical-analysis, charts, indicators, price-action, patterns, support-resistance, trend-following" mentioned.1997 roblox-analyticstabooharmony/ro…ox-brainUse when adding, changing, or auditing Roblox analytics: AnalyticsService events, economy, funnels, onboarding traces, rate limits.1996 research-lookupk-dense-ai/scie…t-skillsCompiles current scholarly evidence for a scientific manuscript or research brief when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source retrieval, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.1992 experience-lds-best-practices-applyforcedotcom/sf-skillsUse when reviewing or implementing Lightning Data Service best practices in an LWC (.js, .html, .js-meta.xml) — UIAPI vs Apex, refreshApex / notifyRecordUpdateAvailable, @salesforce/schema imports, LDS record-form data patterns. TRIGGER on "apply LDS best practices to this LWC", "review this LWC for LDS best-practice issues", "review this component for Lightning Data Service issues", "UIAPI or Apex for this data?", "fix stale data after record save", "sync LDS cache", "use @salesforce/schema for field names", "choose between getRecord and Apex". DO NOT TRIGGER when building a new LWC (use experience-lwc-generate), applying SLDS design tokens (use design-systems-slds-apply), picking or wiring a `lightning-*` base component's props/events/slots generically (use experience-lwc-base-components-integrate — this skill covers only the LDS data-layer rationale, even when the fix involves a base record form), or for security / RTL / accessibility reviews (separate passes).1988 pm-skillsalirezarezvani/…e-skillsUse when coordinating project-delivery work across the 8 project-management sub-skills — sprint/velocity analytics, portfolio health, Jira/JQL, Confluence, Atlassian admin, templates, meeting analysis, team comms. Triggers on 'our sprints feel off', 'project health report', 'audit our Jira permissions', 'when will it be done', 'run the delivery loop'. Forks context to route to one sub-skill via a deterministic signal router and returns a digest; can also drive a full goal→plan→execute→verify→close delivery loop through the repo-wide agent-harness with Jira MCP data bridged into the domain's analytics tools. Distinct from product-team (what to build vs how to deliver it), business-operations (internal ops), and engineering/agent-harness (the generic loop engine this orchestrator plugs into).1988 analytics-eventsmetabase/metabaseAdd product analytics events to track user interactions in the Metabase frontend1987 consciousness-councilk-dense-ai/scie…t-skillsStructures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates evidence from assumptions and values, and synthesizes a conditional recommendation. Use when the user requests a council, panel, devil's advocate analysis, "mind council", or deliberate comparison of perspectives on a difficult choice.1985 ccf-idea-optimizermikubaka88/ccfa-skillsDevelop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans. Use for 优化idea, 具象化idea, 找方向, 方向探索, and rescue routes when development is the requested deliverable. Judging whether an idea is worthwhile, novel, or coherent belongs to ccf-idea-reviewer even without scores; manuscript edits belong to ccf-paper-writer.1984 n8n-binary-and-data-officialn8n-io/skillsUse when handling files, images, attachments, or binary data in n8n, OR when an AI agent needs to take a user-uploaded file as tool input or return a generated file. For Data Tables (schemas, dedup, persistent state), see the separate n8n-data-tables-official skill. Triggers on "file", "image", "PDF", "attachment", "binary", "upload", "download", chat trigger with files, agent tool that needs a file, vision/multimodal, or any handling of non-JSON file data.1983 physical-ai-video-data-augmentationnvidia/skillsUse when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO workflow, pseudo labeling.1981 pymook-dense-ai/scie…t-skillsSolves and validates single-, multi-, and many-objective optimization with pymoo, including NSGA-II, NSGA-III, MOEA/D, constraints, Pareto approximations, reference directions, and ZDT/DTLZ benchmarks for engineering and research problems.1980 scikit-biok-dense-ai/scie…t-skillsBiological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.1980 what-if-oraclek-dense-ai/scie…t-skillsSupports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test a research plan under uncertainty; scenario narratives do not estimate causal effects or calibrated forecast probabilities.1978 geomasterk-dense-ai/scie…t-skillsSupports 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.1978