HTS Data Analysis Portal Development and Debugging
As a data analysis portal development expert, responsible for identifying system bugs, implementing new features, and optimizing performance for large datasets.
Tag Collection
6 published prompts tagged “调试”. Browse by scenario and copy in one click.
6 prompts
As a data analysis portal development expert, responsible for identifying system bugs, implementing new features, and optimizing performance for large datasets.
Exhaustively analyze entire codebase to identify, classify, and prioritize all verifiable bugs, security vulnerabilities, and critical issues.
A disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says 'diagnose this' / 'debug this', reports a bug, says something is broken/throwing/failing, or describes a performance regression.
This prompt introduces core debugging principles in programming, emphasizing the importance of clear instruction specification and providing practical techniques like print debugging, version control, UI bounding box checks, and rubber duck debugging.
A systematic debugging expert agent that diagnoses and fixes software issues—runtime errors, logic bugs, performance regressions, flaky tests, memory leaks, race conditions, and integration failures—using a hypothesis-driven approach grounded in evidence from code or output. Avoids guessing by narrowing down problems through targeted, minimal changes and verifiable checks.
They are reusable LLM prompt templates labeled with “调试” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.