geniml

21.8k

davila7

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

geniml

10.8k

K-Dense-AI

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

docetl

3.7k

ucbepic

Build and run LLM-powered data processing pipelines with DocETL. Use when users say "docetl", want to analyze unstructured data, process documents, extract information, or run ETL tasks on text. Helps with data collection, pipeline creation, execution, and optimization.

rdc-schema

2.0k

reactive

Define data schemas - Entity, Collection, Union, Query, pk/primary key, normalize/denormalize, relational/nested data, polymorphic types, Invalidate, Values

azure-monitor-ingestion-py

1.6k

microsoft

Azure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API. Triggers: "azure-monitor-ingestion", "LogsIngestionClient", "custom logs", "DCR", "data collection rule", "Log Analytics".

azure-monitor-ingestion-java

1.6k

microsoft

Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). Triggers: "LogsIngestionClient java", "azure monitor ingestion java", "custom logs java", "DCR java", "data collection rule java".

azure-monitor-ingestion-py

1.6k

Microsoft Agent Skills Azure Monitor Ingestion Py

Azure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API. Triggers: "azure-monitor-ingestion", "LogsIngestionClient", "custom logs", "DCR", "data collection rule", "Log Analytics".

azure-monitor-ingestion-java

1.6k

Microsoft Agent Skills Azure Monitor Ingestion Java

Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). Triggers: "LogsIngestionClient java", "azure monitor ingestion java", "custom logs java", "DCR java", "data collection rule java".

assisting-with-soc2-audit-preparation

1.5k

jeremylongshore

This skill assists with SOC2 audit preparation by automating tasks related to evidence gathering and documentation. It leverages the soc2-audit-helper plugin to generate reports, identify potential compliance gaps, and suggest remediation steps. Use this skill when the user requests help with "SOC2 audit", "compliance check", "security controls", "audit preparation", or "evidence gathering" related to SOC2. It streamlines the initial stages of SOC2 compliance, focusing on automated data collection and preliminary analysis.

deep-research

1.2k

feiskyer

Deep research multi-agent orchestration workflow: Break down a research objective into parallel sub-goals, run subprocesses using Claude Code non-interactive mode (`claude -p`); prioritize using installed skills for networking and data collection, followed by MCP tools; aggregate sub-results with scripts and refine by chapter, ultimately delivering "final report file path + key conclusions/recommendations summary." Used for: systematic web/data research, competitive/industry analysis, bulk link/data set fragment retrieval, long-form writing and evidence integration, or user mentions of "deep research/Wide Research/multi-agent parallel research/multiprocessing research" and other scenarios.

nuxt-content

628

nuxt-content

Use when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration

firebase-firestore

572

jezweb

Build with Firestore NoSQL database - real-time sync, offline support, and scalable document storage. Use when: creating collections, querying documents, setting up security rules, handling real-time listeners, or troubleshooting permission-denied, quota exceeded, invalid query, or offline persistence errors. Prevents 10 documented errors.

nuxt-content

570

onmax

Use when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration

scholar-evaluation

445

jimmc414

Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should be used when assessing research papers, evaluating literature reviews, scoring research methodologies, analyzing scientific writing quality, or applying structured evaluation criteria to academic work. Provides comprehensive assessment across multiple dimensions including problem formulation, literature review, methodology, data collection, analysis, results interpretation, and scholarly writing quality.

mongodb-usage

442

fcakyon

This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".

performance-test-designer

376

a5c-ai

Performance test design skill for test planning, data collection, and acceptance criteria verification

collection-documentation

376

a5c-ai

Create and maintain comprehensive collection records including cataloging, photography, condition documentation, and database management following AAM/ICOM standards

survey-design-administration

376

a5c-ai

Develop survey instruments, implement sampling strategies, optimize response rates, and manage multi-mode data collection

building-forms

296

ancoleman

Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages. Includes 50+ input types, validation strategies, accessibility patterns (WCAG 2.1), multi-step wizards, and UX best practices. Provides decision trees from data type to component selection, validation timing guidance, and error handling patterns. Use when creating forms, collecting user input, building surveys, implementing validation, designing multi-step workflows, or ensuring form accessibility.

api-data-fetcher

199

meleantonio

Fetch economic data from FRED, World Bank, and other APIs

tautulli-analytics

155

trentferguson

Work with Tautulli analytics integration for Plex streaming metrics. Use when building analytics features, adding charts, fetching streaming data, working with watch history, or analyzing user activity patterns. Covers both the Tautulli client (API communication) and analytics module (data collection and storage).

training-data-curation

144

sundial-org

Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.

mongodb-usage

132

Microck

This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".

excel-report-generator

128

wwwzhouhui

Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.

mongodb

109

partme-ai

Provides comprehensive guidance for MongoDB database including document operations, queries, aggregation, indexes, and best practices. Use when the user asks about MongoDB, needs to work with MongoDB collections, write queries, or design MongoDB schemas.

java-streams-api

98

TheBushidoCollective

Use when Java Streams API for functional-style data processing. Use when processing collections with streams.

Scala Collections

98

TheBushidoCollective

Use when scala collections including immutable/mutable variants, List, Vector, Set, Map operations, collection transformations, lazy evaluation with views, parallel collections, and custom collection builders for efficient data processing.

api-pagination

95

aj-geddes

Implement efficient pagination strategies for large datasets using offset/limit, cursor-based, and keyset pagination. Use when returning collections, managing large result sets, or optimizing query performance.

api-pagination

69

secondsky

Implements efficient API pagination using offset, cursor, and keyset strategies for large datasets. Use when building paginated endpoints, implementing infinite scroll, or optimizing database queries for collections.

oref

64

medz

Guidance for using the Oref Flutter signals/state management library and its DevTools/analyzer tooling. Use when answering questions about installing Oref, creating signals/computed/effects, async data, reactive collections, SignalBuilder usage, analyzer lints, DevTools extension setup/usage, or troubleshooting Oref behavior.

forensics-osquery

64

AgentSecOps

SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases. Enables rapid evidence collection, threat hunting, and incident response across Linux, macOS, and Windows endpoints. Use when: (1) Investigating security incidents and collecting forensic artifacts, (2) Threat hunting across endpoints for suspicious activity, (3) Analyzing running processes, network connections, and persistence mechanisms, (4) Collecting system state during incident response, (5) Querying file hashes, user activity, and system configuration for compromise indicators, (6) Building detection queries for continuous monitoring with osqueryd.

data-base

55

JinFanZheng

Data acquisition for web scraping and data collection. Use when user needs "爬取数据/抓取网页/scrape data". Outputs structured JSON/CSV for analysis.

weaviate

50

weaviate

Search, query, and manage Weaviate vector database collections. Use for semantic search, hybrid search, keyword search, natural language queries with AI-generated answers, collection management, data exploration, filtered fetching, data imports from CSV/JSON/JSONL files, create example data and collection creation.

weaviate-data-ingestion

41

saskinosie

Upload and process data into local Weaviate collections with support for single objects, batch uploads, and multi-modal content

form_builder

39

vuralserhat86

Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages. Includes 50+ input types, validation strategies, accessibility patterns (WCAG 2.1), multi-step wizards, and UX best practices. Provides decision trees from data type to component selection, validation timing guidance, and error handling patterns. Use when creating forms, collecting user input, building surveys, implementing validation, designing multi-step workflows, or ensuring form accessibility.

langchain_patterns

39

vuralserhat86

Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.

mongodb_usage

39

vuralserhat86

This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".

observability

29

omer-metin

Expert at making systems observable and debuggable. Covers structured logging, metrics collection, distributed tracing, error tracking, and alerting. Knows how to find the needle in the haystack when production breaks at 3 AM. Use when "observability, logging, metrics, tracing, monitoring, error tracking, Sentry, Datadog, OpenTelemetry, debugging production, observability, logging, metrics, tracing, monitoring, sentry, prometheus, opentelemetry" mentioned.

logging-observability

27

cosmix

Comprehensive logging and observability patterns for production systems including structured logging, distributed tracing, metrics collection, log aggregation, and alerting. Triggers for this skill - log, logging, logs, trace, tracing, traces, metrics, observability, OpenTelemetry, OTEL, Jaeger, Zipkin, structured logging, log level, debug, info, warn, error, fatal, correlation ID, span, spans, ELK, Elasticsearch, Loki, Datadog, Prometheus, Grafana, distributed tracing, log aggregation, alerting, monitoring, JSON logs, telemetry.

martech-system-architecture

19

samarv

Design and implement a scalable marketing technology stack that balances first-party data collection with third-party tools. Use this skill when moving beyond basic conversion tracking, consolidating redundant SaaS tools, or preparing for multi-touch attribution (MTA).

nimbus-backend

18

arjunrajlaboratory

Use when writing or modifying Python code in the Girder backend plugin (devops/girder/plugins/AnnotationPlugin/), creating REST API endpoints, writing database queries with MongoDB, implementing access control and sharing, running backend tests with tox/pytest, or debugging Docker compose services. Covers: API endpoint patterns (@autoDescribeRoute, modelParam), access control (AccessType, setUserAccess, setPublic), database queries (Model.find vs collection.find), model loading patterns, error handling, and backend test patterns.

pitch-deck-builder

17

Exploration-labs

Comprehensive pitch deck creation with conversational discovery, narrative structuring, and context-aware chunking strategies. This skill should be used when users request help creating pitch decks, investor presentations, fundraising decks, or startup presentations. It guides through narrative development, data collection, and professional slide creation.

dotnet testing — Advanced Testcontainers Database

16

kevintsengtw

A specialized skill for containerized database testing using Testcontainers. Use when you need to test real database behavior with SQL Server/PostgreSQL/MySQL containers or when testing EF Core/Dapper. Covers container startup, database migrations, test isolation, container sharing, lifecycle management, automatic cleanup, and version consistency strategies. Keywords: testcontainers, container testing, database testing, MsSqlContainer, PostgreSqlContainer, MySqlContainer, EF Core testing, Dapper testing, Testcontainers.MsSql, Testcontainers.PostgreSql, GetConnectionString, IAsyncLifetime, CollectionFixture

Advanced .NET Testing — Testcontainers for NoSQL

16

kevintsengtw

Complete guide to Testcontainers NoSQL integration testing. Use when you need containerized integration tests for MongoDB or Redis. Covers MongoDB document operations, Redis five data structures, and the Collection Fixture pattern. Includes BSON serialization, index performance testing, data isolation strategies, and container lifecycle management. Keywords: testcontainers mongodb, testcontainers redis, mongodb integration test, redis integration test, nosql testing, MongoDbContainer, RedisContainer, IMongoDatabase, IConnectionMultiplexer, BSON serialization, BsonDocument, document model testing, cache testing, Collection Fixture

geniml

15

oimiragieo

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

hig-components-content

14

raintree-technology

Apple Human Interface Guidelines for content display components. Use this skill when the user asks about "charts component", "collection view", "image view", "web view", "color well", "image well", "activity view", "lockup", "data visualization", "content display", displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says "how should I display charts", "what's the best way to show images", "should I use a web view", "how do I build a grid of items", "what component shows media", or "how do I present a share sheet". Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.

anysite-cli

13

anysiteio

Operate the anysite command-line tool for web data extraction, batch API processing, multi-source dataset pipelines with scheduling/transforms/exports, database operations, and LLM-powered data analysis. Use when users ask to collect data from LinkedIn, Instagram, Twitter, or any web source via CLI; create or run dataset pipelines; schedule automated collection; batch-process API calls; query collected data with SQL; load data into PostgreSQL or SQLite; analyze data with LLM (summarize, classify, enrich, match, deduplicate); or work with anysite commands. Triggers on anysite CLI usage, data collection, dataset creation, scraping, API batch calls, scheduling, database loading, or LLM analysis tasks.

docyrus-app-dev

13

Docyrus

Build React TypeScript web applications using Docyrus as a backend. Use when creating or modifying apps that authenticate with Docyrus OAuth2, fetch/mutate data via the @docyrus/api-client library, use auto-generated collections for CRUD operations, or build queries with filters, aggregations, formulas, pivots, and child queries against Docyrus data sources. Triggers on tasks involving @docyrus/api-client, @docyrus/signin, Docyrus collections, data source queries, or Docyrus-backed React app development.