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Found 517 Skills
Designs, reviews, and debugs DynamoDB data layers from design axioms — enumerates access patterns, chooses partition/sort keys and GSIs, decides single-table vs. multi-table, configures Streams, Global Tables, TTL, and zero-ETL integrations to OpenSearch/Redshift/SageMaker Lakehouse, and produces a defensible data-layer design with a monthly cost estimate and optional live validation. Applies whenever a user is designing, reviewing, or refactoring anything backed by DynamoDB — schemas, access patterns, GSIs, single- vs. multi-table choices, Streams consumers, transactional outboxes, Global Tables, zero-ETL pipelines — even when they don't say "axioms" or "design review." Also applies when debugging hot partitions, throttling, unbounded Scans, LWW conflicts, or surprise bills on DynamoDB workloads.
Invoke the `groundcover` Go CLI to manage Groundcover resources (dashboards, monitors, silences, connected apps, notification routes, API keys, policies, integrations, pipelines, workflows) AND to answer production observability questions by querying logs, traces, metrics, k8s inventory, and k8s events. Use whenever a task needs an authenticated call against the Groundcover API or whenever the user is debugging a prod issue and asks things like "why is X erroring in prod", "show me logs for service Y", "what's the p99 latency on Z", "what pods are crashlooping", "search traces for slow requests", "any k8s events for namespace N", "is service S receiving traffic", "list groundcover monitors", "create a silence", "update notification route", "hit a groundcover endpoint". Covers required env vars, the SDK-backed vs raw command split, and concrete request-body templates for logs/traces/metrics/k8s so the CLI can be driven from anywhere.
Use when the user wants to build, test, publish, or manage iPaaS (Advanced Automations) flows: multi-step integrations with external apps (Slack, Gmail, Google Sheets), incoming webhooks, schedules, routers, code steps, or iPaaS data tables. MCP-only, driven through 4 meta-tools over a per-pipe catalog discovered at runtime. For native if/then rules or prompt-driven AI automations, use skills/automations/ instead.
Interact with the Cal.com API v2 to manage scheduling, bookings, event types, availability, and calendars. Use this skill when building integrations that need to create or manage bookings, check availability, configure event types, or sync calendars with Cal.com's scheduling infrastructure.
Test and debug Mom Factura Payment API integrations using QA environment and payment simulation. Use when setting up test environments, simulating payment outcomes (success, failure, timeout), debugging API errors, or validating integration before production.
Build and configure the GTM tech stack - tool selection, integrations, and data flows that power prospecting, outbound, and analytics
Scan, assess, plan, and replace SaaS tools with AI-built code. Analyzes your codebase for SaaS integrations, generates migration plans, executes replacements, and validates results.
Expert guidance for building with DatoCMS headless CMS. Includes API decision guides (CDA vs CMA), executable workflow playbooks for schema management, content operations, asset uploads, migrations, structured text (DAST), webhooks, and framework integrations. Covers official MCP server integration and troubleshooting.
Check Apideck connector API coverage before building integrations. Use when determining which operations a connector supports, comparing connector capabilities, or diagnosing why an API call fails with a specific connector. Teaches agents to query the Connector API for real-time coverage data.
Comprehensive guide for Shopify APIs in Remix apps. Covers Admin GraphQL/REST, Storefront API, all resources (products, orders, customers, inventory, collections, discounts, fulfillments, metafields, files), bulk operations, webhooks, resource pickers, and TypeScript patterns. Use when querying/mutating Shopify data or building integrations.
Generate a CLI + AgentSkill from any REST API documentation. Use when: (1) wrapping a SaaS API as a CLI tool, (2) creating agent-ready integrations for APIs like Typefully, Dub, Mercury, Front, etc., (3) user says 'create a CLI for X API', 'wrap this API', or 'make a skill for X'. Handles API discovery, scaffold generation, resource implementation, building, and PATH linking.
Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument/Markdown APIs, custom models, containers/Docker, SAS/managed identity, or VNets, and other Azure AI Document Intelligence related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Language (use azure-language-service), Azure AI Immersive Reader (use azure-immersive-reader).