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Design e Frontend

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plaid-fintech

141

Expert patterns for Plaid API integration including Link token

Design e Frontend #ai #api por lingxling

gdb-cli

141

GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation

Design e Frontend #ai por lingxling

azure-mgmt-fabric-py

141

Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.

Design e Frontend #python por lingxling

cold-email

141

Write B2B cold emails and follow-up sequences that earn replies. Use when creating outbound prospecting emails, SDR outreach, personalized opening lines, subject lines, CTAs, and multi-touch follow-up sequences.

Design e Frontend #ai por lingxling

azure-search-documents-ts

141

Build search applications with vector, hybrid, and semantic search capabilities.

Design e Frontend por lingxling

ipinfo-io-automation

141

Automate Ipinfo IO tasks via Rube MCP (Composio). Always search tools first for current schemas.

Design e Frontend #mcp por lingxling

service-mesh-observability

141

Complete guide to observability patterns for Istio, Linkerd, and service mesh deployments.

Design e Frontend #deploy por lingxling

skill-writer

141

Create and improve agent skills following the Agent Skills specification. Use when asked to create, write, or update skills.

Design e Frontend por lingxling

python-patterns

141

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

Design e Frontend #python por lingxling

multi-agent-architect

141

Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.

Design e Frontend #ai por lingxling

apify-lead-generation

141

Scrape leads from multiple platforms using Apify Actors.

Design e Frontend #api por lingxling

antigravity-skill-orchestrator

141

A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.

Design e Frontend #mcp por lingxling