# AI Agents — MDRSS semantic catalog > Semantic domain: ai-agents > Coding agents, agent frameworks, tools, prompting, evaluation, safety, and autonomous workflows. > Filters: category=agent-design-and-orchestration > Aggregate catalog URL: https://mdrss.com/catalog/ai-agents?category=agent-design-and-orchestration ## Feeds - [AI, Agents & Prompting](https://mdrss.com/s/ai-agents-and-prompting) — Agent frameworks, model behavior, evaluation, prompting, and MCP. - [AI Search, GEO & SEO](https://mdrss.com/s/ai-search-geo-and-seo) — AI visibility, answer-engine optimization, structured data, and search quality. ## Aggregate endpoints - RSS: https://mdrss.com/catalog/ai-agents/rss.xml?category=agent-design-and-orchestration - JSON: https://mdrss.com/catalog/ai-agents/feed.json?category=agent-design-and-orchestration ## Semantic domain cards (91) ### [Automated Unit Test Generation](https://mdrss.com/ai-agents/agent-design-and-orchestration/901486/901486.md) You are a test automation expert specializing in generating comprehensive, maintainable unit tests across multiple languages and frameworks. Create tests that maximize coverage, catch edge cases, and follow best practices for assertion quality and test organization. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:49:03.562Z · Version: 1 ### [Tdd orchestrator](https://mdrss.com/ai-agents/agent-design-and-orchestration/901452/901452.md) You are an expert TDD orchestrator specializing in comprehensive test-driven development coordination, modern TDD practices, and multi-agent workflow management. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:59.972Z · Version: 1 ### [Codebase Scanner](https://mdrss.com/ai-agents/agent-design-and-orchestration/901435/901435.md) You are a technical analyst. Your job is to scan the project codebase and produce accurate, project-specific documentation used by all downstream agents. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:59.972Z · Version: 1 ### [Qa](https://mdrss.com/ai-agents/agent-design-and-orchestration/901433/901433.md) You are a Senior QA Engineer with 15 years of experience in software testing and quality assurance. You are systematic, evidence-driven, and thorough. You test against requirements — you do not modify production code. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:59.972Z · Version: 1 ### [review-agent-governance](https://mdrss.com/ai-agents/agent-design-and-orchestration/901420/901420.md) Require a human approval signal before an AI agent can post PR reviews, comments, merges, or writes to CI configuration. Built on protect-mcp + Cedar, with every decision producing an Ed25519-signed receipt that verifies offline. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:58.236Z · Version: 1 ### [vector-index-tuning — templates and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901353/901353.md) vector-index-tuning — templates and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [similarity-search-patterns — templates and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901352/901352.md) similarity-search-patterns — templates and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [rag-implementation — detailed patterns and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901351/901351.md) rag-implementation — detailed patterns and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [Prompt Template Systems](https://mdrss.com/ai-agents/agent-design-and-orchestration/901350/901350.md) 1. Keep It DRY : Use templates to avoid repetition 2. Validate Early : Check variables before rendering 3. Version Templates : Track changes like code 4. Test Variations : Ensure templates work with diverse inputs 5. Document Variables : Clearly specify required/op. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [Prompt Optimization Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901349/901349.md) 1. Establish Baseline : Always measure initial performance 2. Change One Thing : Isolate variables for clear attribution 3. Test Thoroughly : Use diverse, representative test cases 4. Track Metrics : Log all experiments and results 5. Validate Significance : Use st. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [Few-Shot Learning Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901348/901348.md) Few-shot learning enables LLMs to perform tasks by providing a small number of examples (typically 1-10) within the prompt. This technique is highly effective for tasks requiring specific formats, styles, or domain knowledge. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [prompt-engineering-patterns — detailed patterns and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901347/901347.md) prompt-engineering-patterns — detailed patterns and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [Chain-of-Thought Prompting](https://mdrss.com/ai-agents/agent-design-and-orchestration/901346/901346.md) Chain-of-Thought (CoT) prompting elicits step-by-step reasoning from LLMs, dramatically improving performance on complex reasoning, math, and logic tasks. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [llm-evaluation — detailed patterns and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901345/901345.md) llm-evaluation — detailed patterns and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [langchain-architecture — detailed patterns and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901344/901344.md) langchain-architecture — detailed patterns and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [LangChain & LangGraph Architecture](https://mdrss.com/ai-agents/agent-design-and-orchestration/901343/901343.md) Master modern LangChain 1.x and LangGraph for building sophisticated LLM applications with agents, state management, memory, and tool integration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [hybrid-search-implementation — templates and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901342/901342.md) hybrid-search-implementation — templates and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [embedding-strategies — templates and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901341/901341.md) embedding-strategies — templates and worked examples captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [AI Assistant Development](https://mdrss.com/ai-agents/agent-design-and-orchestration/901340/901340.md) You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [Prompt engineer](https://mdrss.com/ai-agents/agent-design-and-orchestration/901339/901339.md) You are an expert prompt engineer specializing in crafting effective prompts for LLMs and optimizing AI system performance through advanced prompting techniques. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [Ai engineer](https://mdrss.com/ai-agents/agent-design-and-orchestration/901338/901338.md) You are an AI engineer specializing in production-grade LLM applications, generative AI systems, and intelligent agent architectures. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:43.738Z · Version: 1 ### [Git Workflow Orchestrator](https://mdrss.com/ai-agents/agent-design-and-orchestration/901315/901315.md) You MUST follow these rules exactly. Violating any of them is a failure. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:41.831Z · Version: 1 ### [Legacy Code Modernization Workflow](https://mdrss.com/ai-agents/agent-design-and-orchestration/901299/901299.md) You MUST follow these rules exactly. Violating any of them is a failure. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:40.248Z · Version: 1 ### [.NET Backend Development Patterns](https://mdrss.com/ai-agents/agent-design-and-orchestration/901292/901292.md) Master C /.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025). Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:40.248Z · Version: 1 ### [TypeScript Style Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901257/901257.md) TypeScript-specific conventions and best practices for type-safe development. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:38.621Z · Version: 1 ### [Python Style Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901256/901256.md) Python conventions following PEP 8 and modern best practices. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:38.621Z · Version: 1 ### [JavaScript Style Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901255/901255.md) JavaScript Style Guide captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:38.621Z · Version: 1 ### [HTML & CSS Style Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901254/901254.md) Web standards for semantic markup, maintainable styling, and accessibility. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Go Style Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901253/901253.md) Go Style Guide captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Dart/Flutter Style Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901252/901252.md) Dart/Flutter Style Guide captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [C Style Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901251/901251.md) C Style Guide captures reusable agent playbook guidance for agent design & orchestration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [workflow-patterns — detailed patterns and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901250/901250.md) Read plan.md and identify the next pending task. Select tasks in order within the current phase. Do not skip ahead to later phases. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [track-management — detailed patterns and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901249/901249.md) A track is a logical work unit that encapsulates a complete piece of work. Each track has:. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [context-driven-development — detailed patterns and worked examples](https://mdrss.com/ai-agents/agent-design-and-orchestration/901248/901248.md) Context-Driven Development treats project context as a first-class artifact managed alongside code. Instead of relying on ad-hoc prompts or scattered documentation, establish a persistent, structured foundation that informs all AI interactions. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Conductor Status](https://mdrss.com/ai-agents/agent-design-and-orchestration/901247/901247.md) Display the current status of the Conductor project, including overall progress, active tracks, and next actions. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Conductor Setup](https://mdrss.com/ai-agents/agent-design-and-orchestration/901246/901246.md) Initialize or resume Conductor project setup. This command creates foundational project documentation through interactive Q&A. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Revert Track](https://mdrss.com/ai-agents/agent-design-and-orchestration/901245/901245.md) Revert changes by logical work unit with full git awareness. Supports reverting entire tracks, specific phases, or individual tasks. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [New Track](https://mdrss.com/ai-agents/agent-design-and-orchestration/901244/901244.md) Create a new track (feature, bug fix, chore, or refactor) with a detailed specification and phased implementation plan. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Track Manager](https://mdrss.com/ai-agents/agent-design-and-orchestration/901243/901243.md) Manage the complete track lifecycle including archiving, restoring, deleting, renaming, and cleaning up orphaned artifacts. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Implement Track](https://mdrss.com/ai-agents/agent-design-and-orchestration/901242/901242.md) Execute tasks from a track's implementation plan, following the workflow rules defined in conductor/workflow.md. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Conductor validator](https://mdrss.com/ai-agents/agent-design-and-orchestration/901241/901241.md) You are an expert validator for Conductor project artifacts. Your role is to verify that Conductor's Context-Driven Development setup is complete, consistent, and correctly configured. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:23.601Z · Version: 1 ### [Block No-Verify Hook](https://mdrss.com/ai-agents/agent-design-and-orchestration/901214/901214.md) PreToolUse hook configuration that intercepts and blocks bypass-flag usage before execution, ensuring AI agents cannot skip pre-commit hooks, GPG signing, or other git safety mechanisms. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:22.109Z · Version: 1 ### [Preset Team Definitions](https://mdrss.com/ai-agents/agent-design-and-orchestration/901189/901189.md) Detailed preset team configurations with task templates for common workflows. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:20.577Z · Version: 1 ### [Team Composition Patterns](https://mdrss.com/ai-agents/agent-design-and-orchestration/901188/901188.md) Best practices for composing multi-agent teams, selecting team sizes, choosing agent types, and configuring display modes for Claude Code's Agent Teams feature. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:20.577Z · Version: 1 ### [Team Communication Protocols](https://mdrss.com/ai-agents/agent-design-and-orchestration/901187/901187.md) Protocols for effective communication between agent teammates, including message type selection, plan approval workflows, shutdown procedures, and common anti-patterns to avoid. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:20.577Z · Version: 1 ### [Parallel Feature Development](https://mdrss.com/ai-agents/agent-design-and-orchestration/901186/901186.md) Strategies for decomposing features into parallel work streams, establishing file ownership boundaries, avoiding conflicts, and integrating results from multiple implementer agents. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:20.577Z · Version: 1 ### [Agent Performance Optimization Workflow](https://mdrss.com/ai-agents/agent-design-and-orchestration/901185/901185.md) Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration. Use it to give an agent explicit responsibilities, steps and constraints. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:20.577Z · Version: 1 ### [Usage Guide](https://mdrss.com/ai-agents/agent-design-and-orchestration/901181/901181.md) Complete guide to using agents, slash commands, and multi-agent workflows. Use it as a repeatable review, validation or hardening pass. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:20.577Z · Version: 1 ### [PluginEval: Quality Evaluation Framework](https://mdrss.com/ai-agents/agent-design-and-orchestration/901179/901179.md) PluginEval is a three-layer quality evaluation framework for Claude Code plugins and skills. It combines deterministic static analysis, LLM-based semantic judging, and Monte Carlo simulation to produce calibrated quality scores with confidence intervals. Use it to ground design choices in named patterns, trade-offs and examples. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:18.640Z · Version: 1 ### [Cross-harness capability matrix](https://mdrss.com/ai-agents/agent-design-and-orchestration/901178/901178.md) claude-agents is a multi-harness plugin marketplace. Source-of-truth lives under plugins/ as Claude Code markdown. Per-harness artifacts are generated by adapters under tools/adapters/. Use it to ground design choices in named patterns, trade-offs and examples. Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T13:48:18.640Z · Version: 1