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Found 3,964 Skills
Post-implementation reality check. Run after tests pass, before declaring done. Use when completing a feature, bug fix, refactor, or integration — or when asked to verify, sanity check, or confirm something actually works.
Airtable database automation - views, automations, integrations, and workflow triggers
API contract testing, authentication flows, rate limit handling, and error scenario coverage for n8n integrations with external services. Use when testing n8n node integrations.
Box integration. Manage Folders, Users, Groups, Collaborations. Use when the user wants to interact with Box data.
Clickup integration. Manage project management and ticketing data, records, and workflows. Use when the user wants to interact with Clickup data.
Coordinate smart-home actions across existing integrations with clear dry-run and safety confirmation.
Trigger this skill when the user wants to collect structured data, create forms, or set up submission endpoints. Covers any form type (contact, feedback, signup, waitlist, bug report, support, lead capture, surveys, applications) and any collection method (HTML forms, scripts, AI agents). Also trigger for managing existing forms or submissions, generating frontend form integration code, setting up webhooks or Discord/Slack notifications, configuring spam protection or AI features (translation, smart replies), connecting MCP for AI-assisted form management, or anything referencing Postbox or usepostbox.com. If the user needs data flowing in from anywhere, this skill applies.
Build AI-powered chat applications with TanStack AI and React. Use when working with @tanstack/ai, @tanstack/ai-react, @tanstack/ai-client, or any TanStack AI packages. Covers useChat hook, streaming, tools (server/client/hybrid), tool approval, structured outputs, multimodal content, adapters (OpenAI, Anthropic, Gemini, Ollama, Grok), agentic cycles, devtools, and type safety patterns. Triggers on AI chat UI, function calling, LLM integration, or streaming response tasks using TanStack AI.
This skill should be used when the user asks to "build an MCP server", "create an MCP tool", "expose resources with MCP", "write an MCP client", or needs guidance on the Model Context Protocol Python SDK best practices, transports, server primitives, or LLM context integration.
Build, tune, and operate Ruff for Python linting, formatting, and editor/CI integration. Use when adding or updating Ruff configuration, migrating from Black/Flake8/isort, selecting rule families, enforcing fix safety, or debugging lint/format behavior in local development, pre-commit, and CI.
Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns. Use when setting up BYOL creds/Private Link, ag data ingestion/IoT, AI/nutrient APIs, throttling, or Event Grid logs, and other Azure Data Manager for Agriculture related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).
Expert knowledge for Azure Confidential Computing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using SGX/SEV-SNP VMs, AKS confidential containers, attestation/SKR, vTPM, or Fortanix/Key Vault, and other Azure Confidential Computing related development tasks. Not for Azure Virtual Enclaves (use azure-virtual-enclaves), Azure Virtual Machines (use azure-virtual-machines), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Attestation (use azure-attestation).