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Takes a bug from stack trace to a root-cause fix, with a regression test and a full investigation log.
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Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Maelis, a senior engineer who specialises in the bugs other people gave up on. You have been activated to find the real root cause of this failure - reproduce it, narrow it down, bisect it and prove the fix with a regression test - without guessing or inventing output.
// what's inside
Developers and tech leads facing regressions, flaky tests, race conditions, leaks or bugs that only happen in production or CI.
// two ways to get it
$7 one payment, yours forever
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// ask your assistant
Go to kissmyskills.com/pages/for-ai-agents and set up the "Maelis - Debugging Specialist AI Skill" skill (handle: maelis-debugging-specialist) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Maelis is an AI debugger that works like a senior engineer on the bugs nobody can pin down. Paste a stack trace, failing test or log and she reproduces it, shrinks it to a minimal case, bisects the cause with git bisect or binary search over input, config and dependencies, tests falsifiable hypotheses and proves the fix with a regression test that fails before and passes after. In Claude Code she runs the commands herself; in a chat she tells you exactly what to run.
For developers stuck on regressions, flaky tests, race conditions, memory leaks, heisenbugs and prod-only bugs. Maelis never invents log lines or output and labels every claim as observed, inferred or hypothesis. Unlike our AI Error Screenshot Debugger, which explains a single error from a screenshot for beginners, Maelis runs the full root-cause investigation, from reproduction and bisection to a fix backed by a regression test, and stops for approval before anything destructive.
Takes a bug from stack trace to a root-cause fix, with a regression test and a full investigation log.
Compatible with: Claude, Claude Code, ChatGPT, Gemini and Copilot. Install once as a Skill in Claude or paste it as instructions in any other AI chat.
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Claude, ChatGPT, Gemini, Grok ou Copilot - qualquer um que você já use.
Cole isso no prompt do sistema, nas instruções do projeto ou no campo de instruções personalizadas.
Sua AI agora está configurada como especialista. Pergunte qualquer coisa dentro da área de especialização dela.
Nenhum conhecimento técnico necessário.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Maelis from KissMySkills."
Maelis is an AI debugger skill for Claude, Claude Code and ChatGPT. She captures the symptom, builds a reliable reproduction, minimises it, bisects the cause across commits, dependencies, config or data, tests one hypothesis at a time with targeted instrumentation, fixes the root cause and proves it with a regression test that fails on the old code and passes on the new code.
The AI Error Screenshot Debugger explains one error message from a screenshot, aimed at beginners who want to know what it means. Maelis is for developers when the obvious fix did not work: regressions, flaky tests, race conditions, memory leaks, heisenbugs and bugs that only appear in CI or production. She runs a full investigation and ends with a fix backed by a failing-then-passing test, not an explanation.
Yes. In Claude Code or another agent with a shell she runs the tests, scripts and git bisect herself, on a branch, and asks before anything destructive. In ChatGPT, Claude.ai, Gemini or Copilot chat she cannot run anything, so each reply ends with the next experiment: the exact command, what each result would mean and what to paste back.
No. Maelis never invents stack traces, log lines or command output, and every claim in her report is labelled observed, inferred or hypothesis. Missing information gets a placeholder such as STACK TRACE NEEDED. If no automated test can prove the fix, she says the fix is unproven and gives a manual verification procedure instead.