数据与研究 Skills - 数据与研究 Agent Skills推荐与安装 - 第28页 - AI导哈

market-research-reportsdavila7/claude-…emplatesGenerate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.1921 managing-amazon-kinesis-data-streamsaws/agent-toolk…-for-awsOperates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.1920 scvelok-dense-ai/scie…t-skillsPerforms RNA velocity analysis with scVelo from spliced and unspliced single-cell RNA counts. Fits deterministic or dynamical models, examines gene phase portraits, builds velocity graphs, estimates relative latent time, and ranks velocity-associated genes. Use for directional trajectory hypotheses and kinetic-model diagnostics alongside Scanpy; velocity alone does not establish cell fate or causal drivers.1919 phylogeneticsk-dense-ai/scie…t-skillsBuilds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein families, and cautiously interpreted dated phylogenies.1919 nemo-rl-auto-researchnvidia/skillsAutonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.1917 polars-biok-dense-ai/scie…t-skillsPerforms 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.1914 neuropixels-analysisk-dense-ai/scie…t-skillsAnalyzes Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.1913 deep-researchlingzhi227/agen…h-skillsConduct systematic academic literature reviews in 6 phases, producing structured notes, a curated paper database, and a synthesized final report. Output is organized by phase for clarity.1913 cupynumeric-parallel-data-loadnvidia/skillsLoad a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply.1910 dig-through-data-brokersuseosint/skillsUse people-search aggregators and primary public records to find addresses, phone numbers, relatives, age and background on a person, and to audit and remove your own exposure. Covers Spokeo, BeenVerified, Whitepages, TruePeopleSearch, FastPeopleSearch, That'sThem, Radaris, Intelius and Pipl, plus voter files and county court and property records. Use when running a people search or reverse address lookup, tracing a debtor or missing person, building a subject's address history, or removing yourself from broker sites. Applies to skip tracing and debt recovery, asset investigation, executive protection, and personal exposure audits. Explains the FCRA limits that bar broker data from employment, tenancy, insurance and credit decisions, and the GDPR position. Reference at useosint.com/skills/dig-through-data-brokers.1905 dm-limits-and-best-practicescognitedata/bui…r-skillsCDF Data Modeling limits: concurrency (429s), pagination, batching, search vs filter, QueuedTaskRunner, and the cap on LLM calls over query results (5 default, 50 max, cached). Triggers: DMS limits, 429, pagination, nextCursor, cdfTaskRunner, instances.query, chat completions over query results.1903 primekgk-dense-ai/scie…t-skillsQueries a pinned Precision Medicine Knowledge Graph (PrimeKG) CSV for typed gene, drug, disease, and phenotype nodes, direct associations, disease context, and one- or two-hop paths. Use for PrimeKG reproducibility, biological association lookup, and hypothesis generation with relation and data provenance preserved.1903 asanamembranedev/app…n-skillsAsana integration. Manage project management and ticketing data, records, and workflows. Use when the user wants to interact with Asana data.1900 graph-viewercognitedata/bui…r-skillsIntegrate the reusable CDF graph viewer (useGraphViewer) into a Flows app by copying the local code bundle. Use when embedding a graph visualization, adding a knowledge graph, or showing CDF data model relationships and instances.1898 performancecognitedata/bui…r-skillsMUST be used when fixing Flows app performance — re-renders, query patterns, pagination, unbounded fetches, LLM-over-query-results, bundles, memory leaks. Measure before and after. Triggers: performance, slow, laggy, optimize, re-render, bundle size, CDF query, virtualize, chat completions, LLM cost.1895 harvard-artifacts-etl-streamlit-analyticsreason-machines/data-skillsBuild ETL pipelines and analytics dashboards using Harvard Art Museums API data with Python, SQL, and Streamlit1895 harvard-artifacts-collection-data-engineeringreason-machines/data-skillsEnd-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization1894 cupynumeric-hdf5nvidia/skillsRead and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom layouts (see the cupynumeric-parallel-data-load skill), Zarr or object-store/S3 output, .npz or pickled archives, plain h5py without cuPyNumeric, or pure array compute such as FFT, matmul, or reductions.1882 exploratory-data-analysisdavila7/claude-…emplatesPerform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.1877 digital-health-clinical-asr-finetunenvidia/skillsStage 4 of the Clinical ASR Flywheel. Use when priority KER is above 0.3 to run stock NeMo SFT on Parakeet TDT v2 and offline cycle N+1 re-eval. NOT for generic word boosting (use /finetune-asr).1861 harvard-art-museums-data-engineering-appreason-machines/data-skillsEnd-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization1861 roblox-server-datatabooharmony/ro…ox-brainUse when building or fixing Roblox cross-server data: OrderedDataStore leaderboards, MessagingService, MemoryStore, world state, seasons.1860 earth2studio-discovernvidia/skillsFind Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.1858 earth2studio-data-fetchnvidia/skillsFetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.1857 earth2studio-deterministic-forecastnvidia/skillsBuild deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.1856 category-positioningappeeky/aso-skillsWhen the user wants to choose, change, or evaluate their App Store / Google Play category and subcategory — including primary vs secondary category trade-offs, chart-rank competitive analysis, category-driven discoverability, and how category choice affects featuring eligibility. Use when the user mentions "which category", "App Store category", "primary category", "secondary category", "change my category", "Health & Fitness vs Lifestyle", "Productivity vs Utilities", "rank higher in a smaller category", "category chart", "subcategory", "Play Store category", or "should I switch categories". For full ASO health beyond category, see aso-audit. For competitor analysis within the chosen category, see competitor-analysis. For chart movements within categories, see market-movers.1855 company-analysisnomadamas/k-skill국내·해외 상장기업의 공개 공시와 실적발표를 대조해 3대 재무제표의 변화, 사업·경쟁구도, 주요 일정과 조회 시점 주가를 여섯 섹션의 한국어 채팅 분석으로 정리한다. 기업분석·실적발표 정리·수치 검증에 사용하며 매매 추천이나 PDF 보고서는 만들지 않는다.1852 nemo-mbridge-perf-sequence-packingnvidia/skillsValidate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.1842 market-event-impactnomadamas/k-skillGS Quant의 event_study·event_impact_analysis·CalendarAlignment 구조에서 영감을 받아, 정례 발표와 비정형 사건의 핵심 변화 및 시장 해석을 공식자료·당시 보도·검증 가격으로 정리한다. 교차자산 전달경로를 살피고 이벤트 스터디는 보조 증거로 제시하며, 유사사례와 다음 촉매를 한국어로 설명한다. Use for named market-moving events. Not for live quotes, forecasts, or investment advice.1841 government-bond-analysisnomadamas/k-skill한국·미국 국채시장을 공식 금리 데이터로 분석하고 커브 변화, 한·미 금리차, 확인된 국채 입찰·통화정책 일정을 같은 형식으로 정리한다. 국고채·미국 국채 금리 비교, 최근 변화, 주요 일정 또는 출처 있는 보고서를 요청할 때 사용한다. 실시간 호가, 개별 채권 가격평가, 매매 추천은 다루지 않는다.1838