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Search AI Providers , found 8 results

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Cursor Model Selection

cursor-model-selection

jeremylongshore/claude-code-plugins-plus-skills

Configure and select AI models inside Cursor by reviewing available providers, matching models to task needs, setting defaults, and managing per-conversation choices while keeping costs efficient.

GitHub Actions Fixer

tech-leads-club/agent-skills

Locates failing GitHub Actions checks for PRs, gathers logs via gh or the bundled script, summarizes the failure snippet, crafts a brief fix plan, and executes only after explicit approval while keeping external CI providers out of scope.

Mistral Migration Guide

mistral-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through migrating major integrations from OpenAI or other providers to Mistral AI, covering assessment, provider-agnostic adapters, feature-flag rollouts, model mapping, validation tests, and rollback strategies.

OpenRouter Multi Provider

openrouter-multi-provider

jeremylongshore/claude-code-plugins-plus-skills

Configure and operate OpenRouter's multi-provider support to compare models, select providers, and keep API-agnostic workflows running with consistent verification and monitoring steps.

Transactional Email Builder

email-template-builder

alirezarezvani/claude-skills

Design and generate production-ready transactional email templates, previews, i18n, dark mode, spam checks, and analytics hooks for providers like Resend, Postmark, SendGrid, and AWS SES.

MolyKit AI Chat Toolkit

sickn33/antigravity-awesome-skills

MolyKit AI Chat Toolkit guides building cross-platform chat interfaces with Makepad, offering PlatformSend async helpers, bot clients, SSE streaming, chat widgets, protocol types, and MCP support to wire up OpenAI or custom LLM providers for native and WASM apps.

AI Web Testing Assistant

awt-e2e-testing

sickn33/antigravity-awesome-skills

AI-powered tool that lets coding assistants see and interact with real browsers to run YAML-defined Playwright E2E scenarios, using visual matching, OCR, platform auto-detection, structured failure diagnostics, multi-AI providers, and a learning DB of failure-to-fix patterns.

Typed AI Agents

sickn33/antigravity-awesome-skills

PydanticAI brings Pydantic-style validation and type safety to LLM agent workflows, offering structured outputs, dependency injection, and tool integrations across providers so Python teams can test, monitor, and reuse agents reliably.

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