risk-based-testing
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
404 skills found
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.
Standardized detective skill integration for agent roles. Maps agents to code-analysis skills and enforces claudemem usage for memory-indexed code investigation.
Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.
Technical writing specialists for functional and API documentation. Dispatch to create compliant guides, conceptual docs, and API references following the ORCHESTRATOR principle.
A comprehensive guide for designing high-performance, maintainable PostgreSQL database schemas, covering best practices, data types, indexing, and advanced features.
IDAPython scripting and IDA Pro API automation for advanced reverse engineering, binary analysis, decompilation, and database manipulation.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Automate pull request reviews with structural code analysis, blast radius assessment, and dependency impact mapping.
A precision-focused UX/UI engineering agent for identifying bugs, optimizing usability, and ensuring flawless interface performance in workflow applications.
Focus debug skill for DashPlayer: isolates log chains, injects temporary focus markers ([FOCUS:token]), and ensures clean removal of debug artifacts after task completion.
An intelligent generator for Claude Code Skills that automates the creation of structured prompts, YAML frontmatter, and supporting file architectures.
Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.