Skill UI

A comprehensive guide and implementation examples for handling API rate limits (HTTP 429) when interacting with the Perplexity Sonar API. This resource provides multiple robust techniques, including exponential backoff with jitter, queue-based rate limiting, and custom Token Bucket implementation, ensuring reliable and high-throughput API calls for developers using TypeScript and Python.

This comprehensive guide assists developers in migrating their code and API calls when Perplexity updates its model generations or changes API parameters. It provides a clear map from legacy models (pplx-api) to the current Sonar family (sonar, sonar-pro), covering model name changes, base URL updates, parameter adjustments, and SDK upgrade steps. Use this guide whenever you encounter deprecation warnings or need to ensure compatibility with the latest Perplexity Sonar models.

Guides how to connect to Persistiq via Rube MCP and run Composio automations, highlighting prerequisite connections, tool discovery steps, schema compliance, session reuse, and execution calls for reliable workflows.

Automates Pexels tasks through Composio’s Rube MCP toolkit by enforcing tool discovery, connection validation, and structured multi-execution calls so you always use fresh schemas before running workflows.

Automates Placekey workflows via Composio's Rube MCP endpoints, guiding you to search current schemas, validate connections, and execute compliant multi-tool calls with session-aware workflows.

Automates Plisio workflows through Composio’s Rube MCP toolkit by always discovering current schemas, managing toolkit connections, and running multi-execute tool calls with session-aware workflows.

Automatically validates Claude Code plugin repositories by checking required files, JSON schema, frontmatter, permissions, security, marketplace metadata, and README compliance whenever a user asks to validate or check plugins.

Automates Postgrid Verify workflows through Composio’s toolkit over Rube MCP, guiding you to discover tools, confirm active connections, and execute schema-compliant calls without hardcoding slugs.

Provides a comprehensive workflow for managing feature flags, running A/B/multivariate experiments, and analyzing user cohorts using PostHog. The guide covers implementing flag evaluation both client-side (browser) and server-side (Node.js), and demonstrates how to programmatically set up, track, and query experiment results via API calls (cURL/Bash).

This guide provides minimal working examples demonstrating the three core PostHog functionalities: event capture, user identification, and feature flag evaluation. It covers both server-side (Node.js, Python) and client-side (JavaScript) SDK usage, as well as direct API calls, making it perfect for initial integration setup, testing, and learning basic product analytics patterns.

This comprehensive guide outlines advanced strategies for optimizing PostHog in production environments. Key techniques covered include implementing local feature flag evaluation to eliminate network latency, optimizing event batching for network efficiency, utilizing strategic event sampling, and writing efficient HogQL queries. Master these methods to dramatically improve data collection reliability and query speed.

Automates Precoro operations via Composio’s Rube MCP workflow: always search tools first, manage the Precoro connection, then execute schema-driven calls (with memory/session handling and pagination) through multi-tool executions.