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    lobster-debugging

    by 王晓菲

    A systematic 4-phase debugging framework to find root causes, eliminate flaky tests, and prevent regressions.

    Updated Jun 2026
    6 installs
    136 views

    Free

    Included in download

    • Downloadable skill package
    • Works with Claude Code, SKILL.md-compatible agents
    • Instant install

    Sample input

    The auth provider is flaky on slow connections; I tried adding a sleep but it still fails sometimes. Use the Lobster framework to find a permanent fix.

    Sample output

    [ROOT CAUSE FOUND]: Race condition in Auth Provider. [PREVENTION]: Replaced 500ms sleep with Promise.all() synchronization. [UNIT TEST]: test_auth_persistence_on_slow_network verified. [REGRESSION]: Validated against 4 existing auth edge cases. Result: Bug eliminated, not patched.

    About This Skill

    What it does

    Lobster Debugging is a rigorous, 4-phase framework designed to eliminate the "guess-and-check" cycle that plagues modern software development. It transforms your AI agent from a simple code-patcher into a systematic forensic investigator. Instead of applying shallow fixes, it enforces a strict protocol: investigation, condition-based synchronization, defense-in-depth, and academic verification.

    Why use this skill

    Standard LLMs often rush to provide the first plausible-looking fix, which leads to regression and technical debt. This skill implements the 'Iron Law' of debugging: no fixes allowed without proven root cause isolation. It prevents common pitfalls like "magic" sleep timers, flaky test patches, and symptom-only repairs. By using this skill, you ensure that every bug fixed is a bug that never returns.

    How it works

    • Phase 1: Investigation: Systematic binary search of the codebase and diagnostic instrumentation.
    • Phase 2: Synchronization: Replacing flaky timeouts with robust event-based waiting.
    • Phase 3: Defense-in-Depth: Implementing guards that prevent entire classes of similar vulnerabilities.
    • Phase 4: Verification: Proving the fix handles edge cases and handles regression testing.

    Use Cases

    • Eliminate flaky test suites by replacing timeouts with event-driven logic
    • Perform deep root-cause analysis on complex, multi-component system failures
    • Implement defense-in-depth guards to prevent recurring bug categories
    • Automate regression test generation for every bug fix discovered

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    Security Scanned

    Passed automated security review

    Permissions

    No special permissions declared or detected

    Tags

    debugging
    quality
    root-cause
    testing

    Claude Code, SKILL.md-compatible agents

    Creator

    王晓菲

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