Skill UI

This guide teaches how to build robust, production-grade ReAct agents using LangGraph 1.0's `create_react_agent`. It specifically addresses common agent failure modes, such as preventing infinite loops (recursion caps) and ensuring proper error propagation. Learn to define typed tools using Pydantic, manage state with checkpointers, and set precise recursion limits. Perfect for users migrating from legacy AgentExecutor or building reliable, multi-step tool-calling workflows.

Implement robust human-in-the-loop (HITL) approval gates for sophisticated LangGraph workflows. This skill enables the graph to pause execution before critical, irreversible actions (like sending emails or calling tools). It manages complex state serialization, provides clear resume semantics using `Command(resume=...)`, and integrates with external UIs (e.g., Slack) to await human decision, ensuring safe and controlled workflow execution.

Provides a local development workflow for integrating with the Linktree link-in-bio API. This tool allows developers to build and rapidly iterate on social management tools by mocking API responses for profile data and analytics. Users can toggle between mock mode for quick UI prototyping and live mode for validating profile updates against the real Linktree platform, ensuring a robust and efficient development cycle.

This guide provides a minimal working example demonstrating core MindTickle API functionality. It shows how to programmatically create structured training modules (including videos and quizzes), assign them to specific teams or users with deadlines, and track user progress and overall completion rates using analytics endpoints. It is ideal for integrating Learning Management System (LMS) functionality into internal corporate tools and automating onboarding processes.

A structured playbook for diagnosing and resolving critical disruptions within the Navan travel platform. It guides users through severity classification (P1-P4), utilizing built-in AI assistants (Ava), and performing essential API health checks using tools like curl and jq. This runbook ensures a systematic approach to handling failures related to bookings, OAuth tokens, and expense syncing, minimizing downtime and providing clear escalation paths.

A guide to building resilient software integrations when dealing with external APIs that lack formal versioning, changelogs, or guaranteed backward compatibility. Learn defensive coding patterns, implementing schema drift detection via CLI tools (curl, jq), using fallback field names, and executing gradual feature flag rollouts to maintain production stability.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

A comprehensive script and suite of tools designed to collect highly detailed diagnostic information for troubleshooting persistent Notion API issues. This bundle gathers environment variables, SDK versions, API connectivity tests, rate limit info, and application logs into a single, structured bundle, making it essential for filing accurate support tickets with Notion support.

This comprehensive guide covers advanced fuzzing methodology, a core technique in exploit development. Learn how to use coverage-guided fuzzing with powerful tools like AFL++ and libFuzzer to automatically discover critical security vulnerabilities, such as memory corruption bugs. Ideal for setting up robust fuzz campaigns, optimizing corpus generation, and triaging complex vulnerability outputs.

This assistant functions as a professional prompt engineer, specializing in generating highly optimized, production-ready prompts for diverse AI platforms. It analyzes user intent and technical requirements across nine dimensions (Task, Context, Format, etc.), then tailors the prompt structure, constraints, and tone specifically for the target model (e.g., GPT-5.x, Claude, Gemini, Midjourney). Use it when you need to convert a vague idea into a structured, high-performing command for any large language model or generative AI tool.

This skill provides comprehensive integration with the Ramp API, enabling the management and tracking of corporate card and expense data. Users can utilize it to list virtual cards, retrieve detailed recent transactions, and fetch user profile information. It is essential for developers building financial synchronization tools, advanced expense reporting systems, or robust corporate card management dashboards.

A comprehensive runbook detailing the integration patterns for the Ramp Developer API. This guide covers how to manage corporate cards, process expenses, and synchronize accounting data using OAuth2 authentication. It is essential for developers building automated financial tools that interact with corporate spending and billing information.