collection AI Agent Skills
Browse 703 skills related to collection
payload
Use when working with Payload CMS projects (payload.config.ts, collections, fields, hooks, access control, Payload API). Use when debugging validation errors, security issues, relationship queries, transactions, or hook behavior.
prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
python-observability
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.
geniml
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.
prompt-library
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.
prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
observability-monitoring-monitor-setup
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da
Billing Automation
Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning/collections management. Use when implementing subscription billing, automating invoicing, or managing recurring billing and collections workflows.
skill-template
Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.
pyzotero
Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
geniml
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.
debug
Runtime debugging workflow with automated log collection. Use when fixing bugs that require runtime evidence (values, types, flow), when you'd otherwise ask user to "open DevTools, reproduce X, tell me what you see", or when bug depends on user interaction that can't be simulated. This skill automates log collection - logs are captured server-side and accessible programmatically.
context-engineering-collection
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
docetl
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.
professor-synapse
Use when the user needs expert help, wants to summon a specialist, says "help me with", "I need guidance", or has a task requiring domain expertise. Creates and manages a growing collection of expert agents.
rdc-schema
Define data schemas - Entity, Collection, Union, Query, pk/primary key, normalize/denormalize, relational/nested data, polymorphic types, Invalidate, Values
evaluate-presets
Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.
create-hat-collection
Generates new Ralph hat collection presets through guided conversation. Asks clarifying questions, validates against schema constraints, and outputs production-ready YAML files.
raindrop
Search, list, and manage Raindrop.io bookmarks via CLI. Use when the user wants to find saved links, browse collections, add new bookmarks, organize with tags, move bookmarks between collections, or work with their Raindrop library. Supports reading (search, list, get, tags) and writing (add, delete, move, update, bulk operations).
juicebox-v5
Complete Juicebox V5 protocol skills collection. Build, deploy, and interact with Juicebox projects, revnets, hooks, and omnichain deployments. Includes API reference, implementation details, UI generation, and GraphQL queries.
sage-nft
Sage NFT operations. List NFTs and collections, mint NFTs, transfer, add URIs, assign to DIDs, manage visibility.
webflow
Manage Webflow sites, CMS collections, and forms via API. Publish sites and manage content programmatically.
dsiprouter
Call the dSIPRouter REST API using the Postman collection (curl + jq).
radarr
Search and add movies to Radarr. Supports collections, search-on-add option.
clinkding
Manage linkding bookmarks - save URLs, search, tag, organize, and retrieve your personal bookmark collection. Use when the user wants to save links, search bookmarks, manage tags, or organize their reading list.
bnb-nft
NFT operations on BNB Chain — get NFT metadata, check ownership, list NFTs by owner, transfer ERC-721 tokens, get collection info. Use for any NFT-related tasks on BSC.
warren-nft
Deploy NFT collections permanently on MegaETH blockchain. Images stored on-chain via SSTORE2. Create and launch NFT collections with royalties, minting, and management pages.
js-set-map-lookups
Use Set and Map for O(1) membership lookups instead of array.includes(). Apply when checking membership repeatedly or performing frequent lookups against a collection.
shopify-developer
Complete Shopify development reference for Liquid templating, theme development (OS 2.0), GraphQL Admin API, Storefront API, custom app development, Shopify Functions, Hydrogen, performance optimisation, and debugging. Use when working with .liquid files, creating theme sections and blocks, writing GraphQL queries or mutations for Shopify, building Shopify apps with CLI and Polaris, implementing cart operations via Ajax API, optimising Core Web Vitals for Shopify stores, debugging Liquid or API errors, configuring settings_schema.json, accessing Shopify objects (product, collection, cart, customer), using Liquid filters, creating app extensions, working with webhooks, migrating from Scripts to Functions, or building headless storefronts with Hydrogen and React Router 7. Covers API version 2026-01.
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".
microsoft-azure-webjobs-extensions-authentication-events-dotnet
Microsoft Entra Authentication Events SDK for .NET. Azure Functions triggers for custom authentication extensions. Use for token enrichment, custom claims, attribute collection, and OTP customization in Entra ID. Triggers: "Authentication Events", "WebJobsAuthenticationEventsTrigger", "OnTokenIssuanceStart", "OnAttributeCollectionStart", "custom claims", "token enrichment", "Entra custom extension", "authentication extension".
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".
microsoft-azure-webjobs-extensions-authentication-events-dotnet
Microsoft Entra Authentication Events SDK for .NET. Azure Functions triggers for custom authentication extensions. Use for token enrichment, custom claims, attribute collection, and OTP customization in Entra ID. Triggers: "Authentication Events", "WebJobsAuthenticationEventsTrigger", "OnTokenIssuanceStart", "OnAttributeCollectionStart", "custom claims", "token enrichment", "Entra custom extension", "authentication extension".
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
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".
linear-observability
Implement monitoring, logging, and alerting for Linear integrations. Use when setting up metrics collection, creating dashboards, or configuring alerts for Linear API usage. Trigger with phrases like "linear monitoring", "linear observability", "linear metrics", "linear logging", "monitor linear integration".
documenso-observability
Implement monitoring, logging, and tracing for Documenso integrations. Use when setting up observability, implementing metrics collection, or debugging production issues. Trigger with phrases like "documenso monitoring", "documenso metrics", "documenso logging", "documenso tracing", "documenso observability".
setting-up-distributed-tracing
This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as 'setup tracing', 'implement distributed tracing', 'configure opentelemetry', or 'add observability to microservices'.
assisting-with-soc2-audit-preparation
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.
detecting-memory-leaks
This skill enables Claude to detect potential memory leaks and analyze memory usage patterns in code. It is triggered when the user requests "detect memory leaks", "analyze memory usage", or similar phrases related to memory leak detection and performance analysis. The skill identifies potential issues such as unremoved event listeners, closures preventing garbage collection, uncancelled timers, unbounded cache growth, circular references, detached DOM nodes, and unnecessary global state accumulation. It then provides detailed fix recommendations. Use this skill to proactively identify and resolve memory leaks, improving application performance and stability.
analyzing-nft-rarity
Calculate NFT rarity scores and rank tokens by trait uniqueness. Use when analyzing NFT collections, checking token rarity, or comparing NFTs. Trigger with phrases like "check NFT rarity", "analyze collection", "rank tokens", "compare NFTs".
deep-research
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.
onboarding
Deploy your own Open-Inspect instance. Use when the user wants to set up, deploy, or onboard to Open-Inspect. Guides through repository setup, credential collection, Terraform deployment, and verification with user handoffs.
logging-observability
Structured JSON logging with correlation IDs, request context propagation across async boundaries, performance timing decorators, and worker metrics collection.
metrics-collection
Prometheus-compatible metrics collection with counters, gauges, and histograms. Export metrics for dashboards and alerts with proper labeling.
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
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.
python-scala-collections
Guide for translating Python collection operations to idiomatic Scala. Use when converting Python code that uses lists, dictionaries, sets, or involves collection transformations like map, filter, reduce, sorting, and aggregations.