story-quality
Review user stories for quality, proper sizing, sequencing, and acceptance criteria. Use before converting to prd.json. Triggers on: review stories, check user stories, story quality, validate stories.
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Review user stories for quality, proper sizing, sequencing, and acceptance criteria. Use before converting to prd.json. Triggers on: review stories, check user stories, story quality, validate stories.
Static application security testing (SAST) using Semgrep for vulnerability detection, security code review, and secure coding guidance with OWASP and CWE framework mapping. Use when: (1) Scanning code for secur...
Python-based threat modeling using pytm library for programmatic STRIDE analysis, data flow diagram generation, and automated security threat identification. Use when: (1) Creating threat models programmaticall...
Convert bug reports into prd.json user stories for autonomous fixing. Use after running test-and-break skill. Triggers on: convert bugs to stories, fix these bugs, add bugs to prd, create fix stories.
Hardcoded secret detection and prevention in git repositories and codebases using Gitleaks. Identifies passwords, API keys, tokens, and credentials through regex-based pattern matching and entropy analysis. Use...
Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license compliance ris...
Analyze a PRD for edge cases, failure modes, and scenarios that might be missed. Use after creating a PRD to strengthen it. Triggers on: analyze edge cases, find edge cases, what could go wrong, edge case analy...
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format...
Autonomous testing skill that opens a deployed app, goes through user flows, tries to break things, and writes detailed bug reports. Use after deploying to staging. Triggers on: test the app, find bugs, QA the...
PROACTIVELY search auto-generated documentation when receiving ANY user instruction. Search for function signatures, API documentation, class definitions, and code comments BEFORE implementing anything. Your co...
PROACTIVELY query the code graph database to understand relationships and impact of changes. Use this skill WHEN READING any file to understand context, when searching for files, when exploring the codebase, or...
Send and receive messages between AI agents using AI Maestro's messaging system. Use this skill when the user asks to "send a message", "check inbox", "read messages", "notify [agent]", "tell [agent]", or any i...
PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
Capture new learnings discovered during code exploration or user interaction that were not present in context, memories, or codebase documentation. This skill should be invoked when Claude discovers something n...
AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.
Implement continuous AI iteration loops for complex development tasks. Use when building features requiring test-driven refinement, implementing tasks with clear success criteria, or automating iterative improv...
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
Deep integration with agentic-flow@alpha for SONA learning, Flash Attention (2.49x-7.47x speedup), and 9 RL algorithms.
Knowledge graph-based code understanding with semantic search and 80% token reduction through intelligent context retrieval.
Unified memory system for QE with AgentDB, HNSW indexing (150x-12,500x faster search), and SONA learning integration.
James Bach's HTSM Product Factors (SFDIPOT) analysis for comprehensive test strategy generation. Use when analyzing requirements, epics, or user stories to generate prioritized test ideas across Structure, Func...
专注于查阅、维护和生成项目文档 (位于 docs/ 目录下)。
运行和分析项目质量检查(Linting, 类型检查, 测试)。
暂存更改并生成符合 Conventional Commits 规范的提交消息。
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.