Debugging skills

This skill analyzes JUnit retry artifacts to identify flaky tests and produce a prioritized triage report.

This skill helps you explore any website by reading pages, discovering APIs, and automating web tasks with Neo.

This skill helps automate ML competition evolution by learning from experiments and optimizing LB scores with memory-driven decisions.

This skill helps diagnose and stabilize ClawHub publish failures with preflight checks, safe retries, and post-publish verification for resilient publishing.

This skill enables reliable Codex CLI usage within OpenClaw to implement, debug, refactor, or automate coding tasks in a target repository.

This skill enforces mandatory pre-deployment quality assurance by validating builds, testing browsers, ensuring mobile responsiveness, and verifying links and

This skill audits GitHub Actions retry recovery patterns to quantify wasted minutes from flaky reruns and guide targeted optimizations.

This skill helps you generate wallet deeplinks, verify on-chain payments, and create receipts without custody or keys, with user approval.

This skill guides thorough deep thinking for complex tasks, helping you reason systemically and uncover trade-offs across designs, data, and debugging.

This skill detects and fixes TypeScript error handling anti-patterns with guided modes for scanning, reviewing, auto-fixing, resuming, and reporting.

This skill enforces test-driven loops for non-deterministic agents, ensuring tests run before production code and blocking warnings as errors.

This skill reports exact blockers, attempts, and the minimum user input needed to unblock quickly without back-and-forth.

This skill actively monitors OpenClaw logs, diagnoses errors, searches for solutions, and automatically fixes issues or creates pull requests.

This skill writes, runs, and fixes tests across unit, integration, and E2E, while linting code and auto-fixing failures.

This skill guides you to build, backtest, and deploy quantitative trading robots leveraging practical Indian market experience.

This skill enables bidirectional control of Trae from macOS with a built-in feedback loop to confirm command completion.

This skill enables live control and monitoring of Bambu Lab printers via CLI, simplifying setup, printing, filament management, and troubleshooting.

This skill helps you diagnose Python code quality and leverage LSP features like completion, hover, and signature insights with pylsp.

This skill makes agent corrections persistent across sessions by logging and injecting them for future similar agents.

This skill configures OpenClaw memory resilience across bootstrap, transcripts, and archives to prevent context loss during compaction and restarts.

This skill quickly restores iMessage delivery by diagnosing and auto-healing BlueBubbles ↔ OpenClaw connectivity.