Agent Skills: Debugging

Troubleshooting issues, investigating errors, diagnosing problems, systematic debugging, analyzing stack traces, and identifying root causes before applying fixes. Load with read_file on .kilocode/skills/coding-debug/SKILL.md (ignore the absolute path in the location tag).

UncategorizedID: ScotterMonk/AgentAutoFlow/coding-debug

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pnpm dlx add-skill https://github.com/ScotterMonk/AgentAutoFlow/tree/HEAD/.kilocode/skills/coding-debug

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.kilocode/skills/coding-debug/SKILL.md

Skill Metadata

Name
coding-debug
Description
Troubleshooting issues, investigating errors, diagnosing problems, systematic debugging, analyzing stack traces, and identifying root causes before applying fixes. Load with read_file on .kilocode/skills/coding-debug/SKILL.md (ignore the absolute path in the location tag).

Debugging

Before choosing project-specific backup locations or environment assumptions, read skill-local guidance only when .kilocode/skills/coding-debug/AGENTS.md is confirmed to exist; otherwise use root AGENTS.md.

Workflow

Constraint: Execute sequentially. Skip nothing.

1: Get ready

Use coding-lifecycle skill, Entrypoint: Start coding work.

2: Systematic debugging process

  • Incorporate testing into the debugging work according to the verification strategy established by coding-lifecycle.
  • Use app-standards to accomplish the task to the best of your abilities. Steps:
  • You must complete each step below in order before continuing to the next, unless explicitly overridden by the user.
  1. Read error messages carefully.
    • Do not skip past errors or warnings; they often contain the exact cause.
    • Read stack traces completely.
    • Note line numbers, file paths, error messages, and error codes.
  2. Reproduce consistently.
    • Determine precise reproduction steps (URL, inputs, environment, auth state).
    • Confirm whether the issue happens every time:
      • If consistent: document exact steps.
      • If intermittent: gather more observations; do not guess.
  3. Gather context to understand related code and recent changes.
    • Ask yourself:
      • What changed that could cause this?
      • Which modules, routes, or DB tables participate in this path?
      • Are there config or environment differences?
  4. Form hypotheses.
    • Brainstorm 5–7 plausible causes; narrow to the 1–3 most likely.
    • Add targeted logging or instrumentation to validate assumptions.
    • Prefer minimal, reversible instrumentation changes.
    • Confirm diagnosis:
      • Use logging plus reproduction to prove or disprove each hypothesis.
      • Summarize findings for the user before implementing permanent fixes when appropriate.
    • Create backup:
      • Save the current state of files you will modify under the project-approved backup location with a timestamp.
  5. Form a fix plan based on confirmed or most likely hypotheses.
    • Prioritize by risk/impact: address high-impact, low-risk changes first.
    • Break complex fixes into small, independent steps.
    • Identify exact files, functions, and lines you plan to modify.
    • Define verification steps for each change (tests, manual checks, logs).
    • Consider side effects: note other flows that may be impacted.
    • Plan rollback:
      • Know how to revert to previous state quickly if a fix fails.
  6. Implement the fix systematically.
    • Create a backup before each file modification under the project-approved backup location.
    • Make ONE logical change at a time; do not bundle unrelated fixes.
    • If the verification strategy calls for tests, test after each change.
    • If a change does not help:
      • Revert immediately.
      • Update your notes and return to the hypothesis step above.
  7. If still unclear after several attempts:
    • Reassess hypotheses.
    • Consider higher-level issues (architecture, data model, or configuration).
    • Escalate or involve whichever other mode is best if the required changes are clearly architectural or very large in scope.

If stuck in a loop:

  1. Try one completely different approach (algorithm, architecture, or module choice).
  2. Check using learning skill for prior solutions or patterns.
  3. Try two more novel solutions.
  4. If still stuck:
    • Prepare two new, clearly different approach ideas.
    • Present them to the user along with the option: "Abandon this task and return to plan flow."
    • Wait for user direction.

3: Finish

Use coding-lifecycle skill, Entrypoint: Finish coding work.