team-topology-design
Team Topologies methodology for organizational design. Covers the four fundamental team types, three interaction modes, cognitive load assessment, Inverse Conway Maneuver, and team evolution patterns. Use when...
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Team Topologies methodology for organizational design. Covers the four fundamental team types, three interaction modes, cognitive load assessment, Inverse Conway Maneuver, and team evolution patterns. Use when...
Comprehensive markdown linting guidance using markdownlint-cli2. Run, execute, check, and validate markdown files. Fix linting errors (MD0XX rules). Configure .markdownlint-cli2.jsonc (rules and ignores). Set u...
Author and validate AsyncAPI 3.0 specifications for event-driven API design, message brokers, and async communication patterns
Security framework alignment including ISO 27001, SOC 2, NIST CSF 2.0, and CIS Controls mapping
Build observability interfaces for multi-agent systems. Use when monitoring multi-agent execution, tracking agent metrics, implementing logging for parallel agents, or debugging agent workflows.
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,...
Plan instrumentation strategy before implementation, covering what to instrument, naming conventions, cardinality management, and instrumentation budget
Central authority for Claude-Gemini shared workspace architecture. Defines directory structure, artifact exchange, and file naming conventions. Use when setting up dual-CLI workflows, deciding where to store AI...
Single source of truth and librarian for ALL Gemini CLI documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Gemini CLI do...
Set up Git worktrees for agent parallelization with isolated environments. Use when setting up parallel agent execution, creating isolated environments per agent, or enabling concurrent development workflows.
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...
Design closed-loop prompts with Request-Validate-Resolve structure for reliable agentic workflows. Use when creating self-validating agents, adding feedback loops, or improving agent reliability through verific...
Statechart and state machine modeling for lifecycle and behavior specification
Request for Comments (RFC) process for technical proposals
Competency frameworks, level expectations (Junior to Staff+), and career progression paths for software engineers. Use when navigating promotions, understanding level requirements, or planning career advancemen...
Design gateway scripts as entry points for agentic coding. Use when creating CLI entry points for agents, designing subprocess-based agent invocation, or building script interfaces for agentic workflows.
Use when implementing design token systems, CSS variable architectures, or Style Dictionary pipelines. Covers token schemas, naming conventions, token transformations, and multi-platform token delivery for desi...
Design hook-based event systems for ADW observability. Use when implementing real-time event broadcasting, creating hook pipelines, or building agent activity monitoring.
Provides guidance on secure coding practices including OWASP Top 10 2025, CWE Top 25, input validation, output encoding, and language-specific security patterns. Use when reviewing code for security vulnerabili...
Adaptive Python development guide with tiered complexity levels (Minimal/Standard/Full). Automatically selects appropriate guidance based on project context - from simple scripts (just clean Python code) to ful...
Internal vs external career growth paths, goal setting, career maintenance, and long-term planning for software engineers. Use when deciding between internal promotion vs external job search, setting career goa...
LLM inference infrastructure, serving frameworks (vLLM, TGI, TensorRT-LLM), quantization techniques, batching strategies, and streaming response patterns. Use when designing LLM serving infrastructure, optimizi...
Contract-first REST API design with OpenAPI 3.1 specification
Use when designing content type hierarchies, defining reusable content parts, or structuring field compositions for a headless CMS. Covers the Content Type -> Content Part -> Content Field hierarchy pattern, co...
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