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Found 10 Skills
Comprehensive debugging methodology for finding and fixing bugs (formerly debugging). This skill should be used when debugging code, investigating errors, troubleshooting issues, performing root cause analysis, or responding to incidents. Covers systematic reproduction, hypothesis-driven investigation, and root cause analysis techniques. Use when encountering exceptions, stack traces, crashes, segfaults, undefined behavior, or when bug reports need investigation.
Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.
Use this skill to triage bugs found by Antithesis using the `agent-browser` skill to control a headless Chromium browser. If you are about to check run status, read property results, inspect findings, view environment images, or extract any information from the triage report — you MUST use this skill first. Covers runs page, run metadata (title, date, run/session IDs), property statuses (passed/failed/unfound), environment source images, findings, utilization metrics, and run logs.
Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.
Deeply interviews the user about a bug before investigating or fixing it. Use this when the user says "interview me about [bug]", "I have a bug to report", "let's work on this bug", "found a bug", "there's a bug", or describes a bug they encountered. Asks probing questions about reproduction steps, environment, patterns, impact, and context that help isolate the root cause. Continues until the bug is well-understood, then writes a detailed investigation/fix plan.
Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.
Full browser UAT for web apps — Playwright testing with console/network error capture, accessibility checks, i18n validation, and bug triage. Use when running screen-by-screen UAT or testing specific features in any web or hybrid app (React, Vue, Angular, Ionic, Next.js, etc).
Conversational bug discovery → issue draft. Light listening, background exploration, scope assessment. Asks before gh issue create — never auto-files. Use when conducting a QA session, triaging user-reported issues, or filing bugs.
Fix only small, high-certainty OpenClaw bugs from a pasted issue/PR list after deep code review.
Systematic root-cause debugging: reproduce, investigate, hypothesize, fix with verification. Use when asked to "debug this", "fix this bug", "why is this failing", "troubleshoot", or mentions errors, stack traces, broken tests, flaky tests, regressions, or unexpected behavior.