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Found 636 Skills
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.
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.
OpenAI-compatible proxy aggregating 14 free-tier LLM providers with automatic failover and per-key rate tracking.
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).
External verl end-to-end validation workflow for Megatron-Bridge model/provider changes. Covers running a small verl Megatron backend job from a Bridge checkout, choosing LoRA/DDP plus optional save/resume and parallelism variants, setting PYTHONPATH so verl imports the local Bridge tree, and reporting pass/fail evidence.
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.
Use to design provider sequences, throttling logic, and credit policies for enrichment waterfalls.
Comprehensive operational knowledge for ZeroClaw, the fast, small, fully autonomous AI assistant infrastructure built in Rust. Covers CLI, 30 providers, 14 channels, config, hardware, deployment, and security.
Route requests between different LLM providers and models. Configure routing rules, fallback providers, and model-specific parameters inspired by ZeroClaw and OpenClaw model routing systems.
Flutter state management patterns — decision tree for setState, Provider, Riverpod, and BLoC with concrete examples and testing strategies
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.