Claude Skills

Analyze requirements for completeness, missing areas, and gaps. Uses domain checklists, NFR categories, and INVEST criteria to identify what's missing from elicited requirements.

AI-led stakeholder interviews using LLMREI research-backed patterns. Conducts structured interviews to elicit requirements through context-adaptive questioning, active listening, and systematic requirement extraction.

Expert guide for creating custom Gemini CLI commands. Covers slash command definitions (.toml), argument parsing, and shell execution. Use when creating custom Gemini commands, defining TOML command files, adding command arguments, or building extension-based commands. Delegates to gemini-cli-docs.

Expert guide for configuring Google Gemini CLI. Covers global vs project settings.json, Trusted Folders, Policy Engine, and environment variables. Use when configuring Gemini settings, managing trusted folders, setting up security policies, or troubleshooting configuration precedence. Delegates to gemini-cli-docs for official references.

Facilitates context sharing and strategic delegation between Claude Code and Gemini CLI. Syncs CLAUDE.md to GEMINI.md and provides agent selection guidance. Use when onboarding Gemini to a project, syncing instructions between agents, or deciding whether to use Claude or Gemini for a specific task.

Strategic patterns for Claude-to-Gemini delegation. Covers decision criteria, execution patterns, result parsing, and error handling. Use when determining if a task should be delegated to Gemini CLI.

Expert guide for building and managing Gemini CLI Extensions. Covers extension anatomy, GEMINI.md context, commands, MCP integration, and publishing. Use when creating Gemini extensions, linking local extensions, packaging MCP servers, or installing extensions from GitHub. Delegates to gemini-cli-docs.

Parse Gemini CLI headless output (JSON and stream-JSON formats). Covers response extraction, stats interpretation, error handling, and tool call analysis. Use when processing Gemini CLI programmatic output.

Expert guide for Model Context Protocol (MCP) integration with Gemini CLI. Covers MCP server configuration (HTTP, SSE, Stdio), connection management, and tool permissions. Use when adding MCP servers to Gemini, configuring transports, troubleshooting MCP connections, or managing tool permissions. Delegates to gemini-cli-docs.

Central authority for Gemini CLI session management. Covers session resume, retention policies, session browser, and cleanup. Use when resuming Gemini sessions, configuring retention, browsing past sessions, or managing session storage. Delegates 100% to gemini-cli-docs for official documentation.

Optimize token usage when delegating to Gemini CLI. Covers token caching, batch queries, model selection (Flash vs Pro), and cost tracking. Use when planning bulk Gemini operations.

Guide for creating Gemini CLI policy engine TOML rules. Covers rule syntax, priority tiers, conditions, and MCP wildcards. Use when restricting Gemini tools, creating security policies, controlling MCP server permissions, or setting up approval workflows.

Manage AI CLI tools (Claude Code, Gemini CLI, Codex CLI). Use when user asks about AI tool versions, updates, installation, or wants to update their AI CLI tools. Detects installed tools, checks versions, and retrieves update instructions from authoritative sources using delegation-first pattern.

AI governance and compliance guidance covering EU AI Act risk classification, NIST AI RMF, responsible AI principles, AI ethics review, and regulatory compliance for AI systems.

Comprehensive API security guidance covering authentication methods, rate limiting, input validation, CORS, security headers, and protection against OWASP API Top 10 vulnerabilities. Use when designing API authentication, implementing rate limiting, configuring CORS, setting security headers, or reviewing API security.

Search Milan Jovanovic's .NET blog for Clean Architecture, DDD, CQRS, EF Core, and ASP.NET Core patterns. Use for finding applicable patterns, code examples, and architecture guidance. Invoke when working with .NET projects that could benefit from proven architectural patterns.

Single source of truth and librarian for ALL OpenAI Codex CLI documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Codex CLI documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.

Business rules elicitation and analysis techniques. Covers rule types (constraints, derivations, inferences), decision tables, rule templates, and policy documentation. Use when identifying business policies, constraints, calculations, and decision logic during requirements elicitation.

MCP-powered domain research for requirements elicitation. Uses perplexity, context7, firecrawl, and other MCP servers to research domain knowledge, best practices, and industry requirements.

Hub skill for requirements elicitation. Provides technique selection, orchestration guidance, LLMREI patterns, and autonomy level configuration. Use when gathering requirements from stakeholders, conducting elicitation sessions, or preparing requirements for specification.

Multi-persona stakeholder simulation for solo requirements work. Generates diverse perspectives from simulated End User, Technical, Business, Compliance, and Operations stakeholders when real stakeholders are unavailable.

Jeff Patton's User Story Mapping technique for Agile discovery. Visualizes user journey as a map, identifies backbone activities, walking skeleton, and release slices. Use when organizing requirements into deliverable increments or defining MVP scope.

Container and Kubernetes security patterns including Docker hardening, image scanning, pod security standards, network policies, RBAC, secrets management, and runtime protection. Use when securing containerized applications, building secure images, or configuring Kubernetes security controls.

Comprehensive cryptography guidance covering encryption algorithms, password hashing, TLS configuration, key management, and post-quantum considerations. Use when implementing encryption, choosing hashing algorithms, configuring TLS/SSL, managing cryptographic keys, or reviewing cryptographic implementations.