exploratory-testing-advanced
Advanced exploratory testing with SBTM, RST heuristics, and test tours. Use for investigating bugs, discovering unknown risks, and structured manual exploration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
515 skills found
Advanced exploratory testing with SBTM, RST heuristics, and test tours. Use for investigating bugs, discovering unknown risks, and structured manual exploration.
Standardized Java development guidelines including naming conventions, exception handling, Spring Boot best practices, and concurrency patterns.
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
A testing fixture for validating AI agent skill configurations and detecting rule violations.
Activates Prometheus planning mode for structured requirement gathering, codebase research, and task planning within Claude Code.
Troubleshoot and manage the GCP e2-micro VM running the eth-realtime-collector. Handle systemd failures, network connectivity issues, and real-time data stream monitoring for Ethereum network data.
Automated internationalization (i18n) and localization (l10n) testing suite for global software. Validates translations, RTL layouts, locale-specific formats, and unicode support.
CLI interface for Gemini AI, enabling one-shot model inference, text generation, and JSON-formatted data extraction for OpenClaw users.
Automates the release preparation process for MassGen by generating CHANGELOG entries, creating announcement drafts, and validating documentation integrity before git tagging.
Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.
Expert LangGraph architect skill for designing stateful, multi-actor AI agent workflows with robust persistence, conditional branching, and ReAct patterns.