agentsclimarketplace

Imlazy debug

Skill hnikoloski/imlazy/skills/imlazy-debug

Token-efficient tier-routed agent orchestrator 40+ skills, 19 agents, Obsidian vault. Works with Claude Code, OpenCode, Codex CLI.

Install
npx -y skills add hnikoloski/imlazy --skill imlazy-debug

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 26 days oldThe repository was created 26 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Systematic root-cause investigation before any fix attempt. Four phases — Root Cause → Pattern Analysis → Hypothesis → Implementation. If 3+ fixes fail, question the architecture

SKILL.md

4.3 KB, as published. Nobody here has run it

debugging

The Iron Law

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST

If you have not completed Phase 1, you cannot propose fixes.

The Four Phases

You MUST complete each phase before proceeding to the next.

Phase 1: Root Cause Investigation

BEFORE attempting ANY fix:

  1. Read error messages carefully. Don't skip past errors. Read stack traces completely. Note line numbers, file paths, error codes.

  2. Reproduce consistently. Can you trigger it reliably? What are the exact steps? If not reproducible, gather more data before guessing.

  3. Check recent changes. What changed that could cause this? git diff, recent commits, new dependencies, config changes.

  4. Gather evidence in multi-component systems (CI → build → signing, API → service → DB): Before proposing fixes, add diagnostic instrumentation at each component boundary — log what data enters, log what data exits. Run once to see WHERE it breaks, then investigate that component. See references/multi-component-debugging.md for a worked example.

  5. Trace data flow. Where does the bad value originate? What called this with the bad value? Keep tracing up until you find the source. Fix at source, not at symptom.

Phase 2: Pattern Analysis

  1. Find working examples — locate similar working code in the codebase.
  2. Read the reference implementation completely if implementing a pattern — don't skim.
  3. Identify differences — what's different between working and broken? List every difference.
  4. Understand dependencies — what config, environment, or state does this need?

Phase 3: Hypothesis and Testing

  1. Form one hypothesis: "I think X is the root cause because Y." Write it down. Be specific.
  2. Test minimally: make the smallest possible change to test the hypothesis. One variable at a time.
  3. Verify before continuing. Worked? → Phase 4. Didn't work? → form new hypothesis. Don't add more fixes on top.
  4. If you don't know, say "I don't understand X." Ask for help. Don't pretend.

Phase 4: Implementation

  1. Create a failing test that reproduces the bug. Use Skill(imlazy-tdd) for writing proper failing tests.
  2. Implement one fix addressing the root cause identified. No "while I'm here" improvements.
  3. Verify the fix: test passes, no other tests broken, issue resolved.
  4. If fix doesn't work: STOP. Count attempts.
    • Under 3 attempts: return to Phase 1 with new information.
    • 3+ attempts: question the architecture (see below).

If 3+ fixes failed: question the architecture

Pattern that indicates architectural problem: each fix reveals new shared-state coupling or problem in a different place; fixes require "massive refactoring"; each fix creates new symptoms.

STOP and discuss with the user before attempting more fixes. This is not a failed hypothesis — this is a wrong architecture.

Red flags — stop and follow the process

  • "Quick fix for now, investigate later"
  • "Just try changing X and see if it works"
  • "Add multiple changes, run tests"
  • "It's probably X, let me fix that"
  • "I don't fully understand but this might work"
  • "One more fix attempt" (when already tried 2+)
  • Each fix reveals new problem in different place

Quick reference

PhaseKey activitiesSuccess criteria
1. Root CauseRead errors, reproduce, check changes, gather evidenceUnderstand WHAT and WHY
2. PatternFind working examples, compare, identify differencesKnow what differs
3. HypothesisForm one theory, test minimallyConfirmed or new hypothesis
4. ImplementationCreate test, fix, verifyBug resolved, tests pass

Common rationalizations

ExcuseReality
"Issue is simple, don't need process"Simple issues have root causes. Process is fast for simple bugs.
"Emergency, no time"Systematic is FASTER than guess-and-check thrashing.
"Multiple fixes at once saves time"Can't isolate what worked. Causes new bugs.
"One more fix attempt" (after 2+)3+ failures = architectural problem. Question the pattern.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.