API Pagination Debugging

Diagnose and fix API pagination failures for complete data imports.

Updated Jan 23, 2026
One-click install
npx skills add https://github.com/ngpestelos/readwise-mcp-server --skill api-pagination-debugging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: API Pagination Debugging
Source: https://github.com/ngpestelos/readwise-mcp-server/tree/main/.claude/skills/api-pagination-debugging
Command: npx skills add https://github.com/ngpestelos/readwise-mcp-server --skill api-pagination-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a systematic approach to diagnosing and resolving pagination failures in APIs to ensure complete data imports across endpoints and versions.

Core Features & Use Cases

  • Pattern-aware debugging for cursor-based, page-based, and offset-based pagination.
  • Response structure verification using real API responses to identify field names and continuation signals.
  • Efficient iteration guidance to minimize API calls by choosing maximum safe page sizes and verifying termination conditions.
  • Use Case: When an integration stops after one page or returns duplicate results, apply the methodology to correct pagination logic and complete the import.

Quick Start

Use the skill to diagnose and fix an API pagination issue by inspecting responses, identifying the correct pagination pattern, and implementing a robust loop with proper termination and logging.

Frequently Asked Questions about API Pagination Debugging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix API pagination when my data import stops after one page?

Fix API pagination failures by inspecting real API responses to identify correct continuation signals, verifying pagination patterns, and implementing a robust loop with proper termination conditions to ensure complete data imports.

Why does my API pagination return duplicate results during an incremental import?

API pagination returns duplicate results when continuation signals or field names are incorrect. Resolve this by applying pattern-aware debugging logic to verify the response structure and correct the iteration logic for accurate incremental imports.

How do I debug cursor-based pagination to ensure complete data retrieval?

Debug cursor-based pagination by inspecting the response structure to identify the cursor field and continuation signals, then implementing an efficient iteration loop with safe termination conditions to retrieve all available data.

What is the best way to minimize API calls when fixing offset-based pagination failures?

Minimize API calls during offset-based pagination fixes by choosing the maximum safe page size, verifying termination conditions, and ensuring accurate field naming to safely iterate through the complete dataset.

Does this pagination debugging approach work for backfill imports across diverse APIs?

Yes, this pattern-aware debugging approach diagnoses and resolves pagination failures for backfill imports by verifying response structures and continuation signals across diverse APIs and data sources to ensure complete data retrieval.

How do I verify the correct pagination pattern when an API integration fails to fetch all records?

Verify the correct pagination pattern by inspecting real API responses to identify accurate field names and continuation signals, then applying pattern-aware debugging logic to implement a robust loop with proper termination and logging.

Related Skills