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Found 699 Skills
Transactional and triggered email delivery — order confirmations, password resets, welcome emails, receipts, shipping notifications, account alerts. Covers provider selection, template design, deliverability, API integration, SMTP relay, and monitoring across SendGrid, Postmark, Mailgun, Brevo, Braze, Iterable, Customer.io, Mailchimp/Mandrill, GetResponse (MAX only), and Amazon SES. Use when building transactional email flows, choosing a transactional email provider, debugging delivery issues for triggered emails, or setting up SMTP relay. Do NOT use for marketing email campaigns (use /sales-email-marketing), cold outbound sequences (use /sales-cadence), cross-platform deliverability strategy (use /sales-deliverability), or SendPulse-specific questions (use /sales-sendpulse). For platform-specific help, use /sales-braze, /sales-iterable, /sales-sendgrid, /sales-postmark, /sales-mailgun, /sales-brevo, /sales-customerio, /sales-mailchimp, /sales-getresponse, or /sales-sendpulse.
Operate NEAR JSON-RPC reads through UXC with a public provider default, provider-override guidance, and read-only guardrails.
Migrates Airflow projects from airflow-ai-sdk to apache-airflow-providers-common-ai 0.1.0+. Use this skill when the user wants to replace airflow-ai-sdk with the official Airflow AI provider, migrate LLM decorators (@task.llm, @task.agent, @task.llm_branch, @task.embed), switch from model strings/objects to connection-based LLM configuration, or update imports from airflow_ai_sdk to the new provider. Also trigger when the user mentions common-ai provider, AIP-99, pydanticai connection, or migrating away from airflow-ai-sdk.
Multi-provider email sending for Cloudflare Workers and Node.js applications. Supports Resend, SendGrid, Mailgun, and SMTP2Go providers with unified API, template rendering, and delivery tracking.
Test Riverpod providers and widgets; ProviderContainer.test, unit tests, widget tests with ProviderScope, tester.container(), mocking with overrides, container.listen for auto-dispose, awaiting .future. Use when writing unit or widget tests for Riverpod code, mocking providers, or testing with overrides. Use this skill when the user asks about testing Riverpod, mocking providers, or ProviderContainer in tests.
Migrate Riverpod from 2.0 to 3.0; automatic retry, paused listeners, legacy providers import, Ref simplification, FamilyNotifier removal, ProviderException, updateShouldNotify. Use when the user asks about Riverpod 3 migration, upgrading to Riverpod 3, or breaking changes in 3.0.
Use when creating, writing, fixing, or reviewing tests in a Flutter project. Covers unit tests, widget tests, integration tests, Riverpod provider testing, and Mockito mocking. Provides Given-When-Then patterns, layer isolation strategies, and test setup for GetIt, SharedPreferences, and FakeDatabase.
This skill should be used when the user wants to check whether an agent skill is portable across providers. Common triggers include "is this skill cross-provider safe", "will my skill work in cursor", "audit skill compatibility", "check if this loads in codex", and "which providers support this skill". Spawns one agent per provider in parallel using bundled provider-doc snapshots (refreshed on cadence — never fetched at runtime) and produces a compatibility matrix plus a COMPAT.md report. Skip when authoring a new skill (use skill-creator) or rerunning baselines (use skill-eval).
Cross-platform CLI tool for managing Claude Code, Codex, Gemini, OpenCode & OpenClaw providers, MCP servers, prompts, skills, and proxies.
Enrich a CSV with any data field using a waterfall pattern: try multiple providers in sequence, stop at the first successful match. Prevents paying for duplicate lookups and maximizes fill rates. Triggers: - "enrich my lead list" - "add [field] to my CSV" - "waterfall enrichment" - "try multiple providers to find [data]" Requires: Deepline CLI — https://code.deepline.com
LangGraph-based agent framework for consistent tool calling with automatic tool loops. Use when you need reliable multi-step task execution with OpenAI-compatible providers (Z.AI/GLM-5, OpenRouter, Groq, DeepSeek, Ollama).
Automatic LLM provider failover with fallback chains, inspired by OpenClaw/ZeroClaw model configuration.