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このリポジトリの skills
SkillsMP は FerroxLabs/wayland から 2,295 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
FerroxLabs/wayland収集済み skill 2,295 件中 40 件を表示しています。
Produces a data report structure with executive summary format, findings section template with chart-plus-interpretation pairs, methodology note, and appendix organization. Separates insight from supporting detail for maximum readability. Use when the user…
原文の言語: 英語
Synthesizes multiple sources into a structured research summary: source quality assessment, finding extraction, theme identification, evidence strength rating, and contradiction mapping. Produces a research brief, not a literature review. Use when the user…
原文の言語: 英語
SaaS business metrics analysis covering MRR, ARR, churn rates, customer lifetime value, cohort analysis, unit economics, and dashboard design. Includes benchmark data, formula references, investor-ready reporting templates, and diagnostic frameworks for…
原文の言語: 英語
Designs a customer or user segmentation by selecting variables, defining the segmentation method (RFM, behavioral, demographic, needs-based), producing segment definitions with names, and specifying the analysis output format. Use when the user asks to…
原文の言語: 英語
Designs a sentiment analysis approach for text data by selecting the method (lexicon-based vs. model-based), defining sentiment categories, specifying the output format, and producing an interpretation guide for the results. Use when the user asks to analyze…
原文の言語: 英語
Designs spreadsheet automation using built-in features including named ranges, drop-down validation lists, INDIRECT references for dynamic ranges, array formulas, and QUERY/FILTER functions. Produces the specific formula strings for self-updating,…
原文の言語: 英語
Produces spreadsheet-native data cleaning formulas and operations. Generates exact TRIM, CLEAN, TEXT, SUBSTITUTE formulas for text issues, IF/IFERROR wrappers for null handling, COUNTIF for duplicate detection, and a cleaning sequence with before/after column…
原文の言語: 英語
Audits a spreadsheet model for quality and reliability. Checks formula consistency, hardcoded values in formulas, circular references, missing error handling, and documentation gaps. Produces an audit report with specific remediation steps. Use when the user…
原文の言語: 英語
Advanced SQL for analytics covering window functions, CTEs, recursive queries, query optimization, pivoting, and complex analytical patterns for data warehouses and analytics databases. Use when the user asks about sql analytics expert, related techniques,…
原文の言語: 英語
Applied statistics guide covering hypothesis testing, regression analysis, ANOVA, confidence intervals, p-value interpretation, and practical statistical decision-making with Python implementations. Use when the user asks about statistical analyst, related…
原文の言語: 英語
Designs a streaming data architecture defining event schema, producer configuration, consumer processing logic, state management approach, and fault tolerance strategy. Produces a system specification document for real-time data pipelines. Use when the user…
原文の言語: 英語
Produces a complete survey with question set in recommended order, question type selection (Likert, multiple choice, open text, matrix) with rationale, response scale definitions, and an analysis plan for each question. Does not assume statistical background.…
原文の言語: 英語
Produces a text mining protocol: defines the corpus, selects the analysis type (frequency, collocation, topic modeling, named entity extraction), specifies preprocessing steps, and produces the output interpretation framework. Use when the user asks to…
原文の言語: 英語
Time series analysis expertise covering decomposition methods, ARIMA and SARIMA modeling, Prophet for business forecasting, seasonality detection, trend analysis, anomaly detection, forecasting evaluation metrics, and practical applications for demand…
原文の言語: 英語
Analytics engineering expertise covering dbt best practices, metrics layer design, semantic modeling, dashboard design principles, KPI definition, A/B test analysis, cohort analysis, funnel analysis, retention analysis, and SQL style guide for building…
原文の言語: 英語
Expert data format transformation covering CSV parsing edge cases, encoding detection, JSON/XML/Parquet/Avro conversion, data type inference, schema validation, large file handling with streaming parsers, delimiter detection, and handling of malformed data…
原文の言語: 英語
Data catalog and metadata management covering catalog architecture, DataHub and Amundsen setup, automated metadata ingestion, data lineage tracking, data discovery UX, classification and tagging, data governance integration, business glossaries, ownership…
原文の言語: 英語
Expertise in designing and enforcing data contracts including schema definitions, API-first data interfaces, versioning strategies, backward and forward compatibility, contract testing, SLA enforcement, data quality assertions, and governance frameworks for…
原文の言語: 英語
Architecture expertise for data lakehouse platforms covering Delta Lake, Apache Iceberg, Apache Hudi, medallion architecture design, table format selection, storage optimization, schema evolution, time travel, compaction strategies, and query engine…
原文の言語: 英語
Strategic expertise in data mesh architecture covering domain-oriented data ownership, data-as-a-product thinking, self-serve data infrastructure, federated computational governance, organizational design patterns, domain decomposition, data product…
原文の言語: 英語
Database migration expertise covering zero-downtime migration strategies, dual-write patterns, shadow tables, data reconciliation, schema evolution, backward compatibility, rollback strategies, large table migration, and cross-database migration for safely…
原文の言語: 英語
Expert data modeling covering star schema, snowflake schema, Data Vault 2.0, dimensional modeling, slowly changing dimensions, bridge tables, fact table types, conformed dimensions, ERD creation, and modeling tool usage for building enterprise-grade…
原文の言語: 英語
Data pipeline reliability assessment evaluating data freshness, quality metrics, monitoring coverage, and operational maturity to produce a pipeline health scorecard. Use when the user asks about data pipeline health check, related techniques, best practices,…
原文の言語: 英語
Data pipeline orchestration expertise covering Airflow DAG design, dbt models, pipeline patterns (batch, micro-batch, streaming), dependency management, idempotency, backfill strategies, data lineage tracking, and monitoring for building reliable, observable…
原文の言語: 英語
Data quality engineering covering Great Expectations suite design, data contracts between teams, schema validation at ingestion, statistical anomaly detection, automated data profiling, quality scoring frameworks, SLA monitoring, freshness checks, and…
原文の言語: 英語
Data validation and quality expertise covering Great Expectations patterns, schema validation, statistical validation, referential integrity checks, data profiling, anomaly detection, data contracts, quality scoring, and automated testing strategies for…
原文の言語: 英語
Deep expertise in dbt (data build tool) covering model design, testing strategies, documentation, materialization selection, custom macros, incremental patterns, package management, CI/CD integration, and performance optimization for building reliable,…
原文の言語: 英語
Expert ETL pipeline design covering extract patterns (CDC, full load, incremental), transform strategies (SCD types, data cleansing), load patterns (upsert, merge), error handling, data quality checks, scheduling, and orchestration tools for building reliable…
原文の言語: 英語
Data pipeline orchestration covering Apache Airflow DAG design patterns, Dagster software-defined assets, Prefect flow composition, retry and backfill strategies, dependency management, dynamic task generation, monitoring and alerting, SLA tracking,…
原文の言語: 英語
Apache Spark expertise covering RDD vs DataFrame vs Dataset APIs, partitioning strategies, shuffle optimization, broadcast joins, caching, Spark SQL, structured streaming, UDFs, cluster sizing, performance tuning, and PySpark patterns for building scalable…
原文の言語: 英語
Advanced SQL expertise including window functions, CTEs, recursive queries, query optimization with EXPLAIN plans, indexing strategies, pivot/unpivot operations, JSON operations, full-text search, stored procedures, and identification of performance…
原文の言語: 英語
Real-time data streaming expertise covering Kafka architecture, stream processing with Flink and Kafka Streams, exactly-once semantics, windowing strategies (tumbling, sliding, session), watermarks, late data handling, schema registry, consumer group…
原文の言語: 英語
Hands-on streaming data engineering covering Apache Kafka producer/consumer tuning, Flink stateful stream processing, Spark Structured Streaming, windowing strategies (tumbling, sliding, session, global), exactly-once semantics, backpressure management,…
原文の言語: 英語
Conducts a WCAG 2.1 AA accessibility review covering color contrast, keyboard navigation, screen reader markup, touch targets, and ARIA labels with a structured remediation checklist. Use when the user asks to review accessibility, check WCAG compliance,…
原文の言語: 英語
Diagnoses and fixes AI image generation prompt issues including mismatched style descriptors, conflicting terms, underspecified composition, and overcrowded token budgets with revised prompt output. Use when the user asks why their AI image prompt is not…
原文の言語: 英語
Identifies a visual style's defining characteristics and translates them into AI image generation trigger words for Midjourney, DALL-E, and Stable Diffusion with model-specific syntax. Use when the user asks to replicate a visual style in AI art, transfer a…
原文の言語: 英語
Produces AI image upscaling and detail enhancement specifications for Midjourney upscale variants, DALL-E edit mode, and Stable Diffusion img2img with model-specific parameters. Use when the user asks to upscale an AI-generated image, enhance detail, increase…
原文の言語: 英語
Comprehensive animation guidance covering the 12 principles of animation, 2D and 3D production pipelines, tools (Blender, After Effects, Procreate, Toon Boom), frame rates, rigging, motion graphics vs character animation, and building an animation practice…
原文の言語: 英語
Expert astrophotography guidance covering star trails, deep sky imaging, planetary photography, image stacking techniques, and light pollution management Use when the user asks about astrophotographer, related techniques, best practices, or needs guidance in…
原文の言語: 英語
Produces an audio editing sequence with noise reduction protocol, silence compression settings, EQ for voice clarity, and compression/limiting for loudness normalization targeting specific LUFS standards for podcast, video, and music contexts. Use when the…
原文の言語: 英語