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Glean Search Observability Monitoring
glean-observability
jeremylongshore/claude-code-plugins-plus-skills
250
This tool provides comprehensive observability for enterprise search systems (Glean). It tracks critical metrics such as search latency (p95), zero-result query rates, indexing throughput, and stale content ratios. By monitoring connector sync status and detecting indexing degradation, it allows teams to proactively maintain search relevance and ensure sub-second response times, preventing silent data quality decay.
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Optimizing Grammarly API Performance
grammarly-performance-tuning
jeremylongshore/claude-code-plugins-plus-skills
141
This guide provides techniques to optimize Grammarly API interactions, focusing on reducing latency and improving throughput. Learn how to implement efficient caching strategies (like LRU cache) for repeated score checks and how to execute multiple API calls in parallel using Promise.all. Use this when experiencing slow response times or needing cost/performance improvements in Grammarly integrations.
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Implementing Rate Limiting for Grammarly API
grammarly-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
413
A comprehensive guide and implementation pattern for handling rate limits, backoff, and idempotency when integrating with the Grammarly Text API. It provides a custom rate limiter and robust retry logic to manage API throughput, ensuring reliable processing of high volumes of documents and stable interaction with various endpoints (e.g., writing score, plagiarism checks).
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Handling Hootsuite API Rate Limits
hootsuite-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
367
This skill provides best practices for managing API rate limits when interacting with the Hootsuite platform. It demonstrates implementing robust retry logic, incorporating exponential backoff using the `Retry-After` header, and using queue-based scheduling to ensure stable, high-throughput API calls while respecting platform constraints.
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Optimizing HubSpot API Performance
hubspot-performance-tuning
jeremylongshore/claude-code-plugins-plus-skills
218
Master advanced techniques for optimizing API interactions with HubSpot. Learn to implement batch operations, utilize effective caching strategies (e.g., LRU), minimize property requests, and handle large datasets via efficient pagination and streaming. This skill dramatically improves throughput and reduces API call latency across CRM operations.
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Robust API Rate Limiting Strategies
hubspot-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
489
This guide provides advanced patterns for managing API rate limits, crucial for reliable integration with platforms like HubSpot. It covers implementing exponential backoff, honoring 'Retry-After' headers, using request queuing (throttling), and optimizing throughput through batch operations to gracefully handle 429 rate limit errors.
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Intercom API Performance Optimization
intercom-performance-tuning
jeremylongshore/claude-code-plugins-plus-skills
434
A comprehensive guide for optimizing Intercom API interactions. It covers advanced strategies such as implementing response caching (LRUCache), designing efficient search queries, handling large datasets with cursor-based pagination, managing connection pooling, and executing rate-aware parallel requests. Essential for developers building high-throughput, low-latency Intercom integrations.
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Robust API Rate Limit Management
intercom-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
67
Provides advanced techniques for handling API rate limits, specifically targeting 429 errors. Implementations cover exponential backoff with jitter, queue-based request throttling, and proactive monitoring of rate limit headers (X-RateLimit-Remaining, X-RateLimit-Reset). Ideal for optimizing API request throughput and ensuring high reliability when integrating with services like Intercom.
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Handling Klaviyo API Rate Limits and Throttling
klaviyo-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
330
Provides advanced strategies for managing API rate limits when integrating with Klaviyo. This skill implements robust patterns like exponential backoff, respecting `Retry-After` headers, and utilizing request queuing. It ensures stable, high-throughput data synchronization, preventing 429 errors during large-scale bulk operations.
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Advanced Lucidchart API Performance Tuning
lucidchart-performance-tuning
jeremylongshore/claude-code-plugins-plus-skills
166
This guide provides advanced techniques for optimizing API interactions with Lucidchart, especially when dealing with enterprise diagrams containing thousands of shapes. Key strategies include implementing Redis caching for metadata, utilizing cursor-based pagination for list retrieval, grouping updates for batch operations, and robust rate limit handling with exponential backoff. It ensures stable and high-throughput integration.
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Optimizing Miro API Performance Techniques
miro-performance-tuning
jeremylongshore/claude-code-plugins-plus-skills
311
This guide provides advanced best practices for optimizing interactions with the Miro REST API v2. It covers essential patterns like cursor-based pagination to prevent over-fetching, implementing robust caching strategies (In-Memory/Redis) for reduced latency, and managing connections and concurrency for reliable bulk operations. It is designed for building scalable, high-throughput, and efficient integrations into Miro.
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Robust Miro API Rate Limit Management
miro-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
459
This skill implements a comprehensive solution for managing Miro REST API rate limits. It incorporates a credit-based monitoring system, exponential backoff with jitter, and request queuing. This ensures reliable, high-throughput data integration by respecting Miro's usage quotas and handling API throttling (429 errors) gracefully.
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