Results for “implementation”

Use when you have a spec or requirements for a multi-step task, before touching code. Writes comprehensive implementation plans.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

Plan a feature from BRD-lite brief or clear intent into PRD (What), decisions, implementation plan, and task slices.

Technical architecture and UX specialist who provides developers with solid foundations, CSS systems, and clear implementation guidance

Drupal and WordPress specialist for theme development, custom plugins/modules, content architecture, and code-first CMS implementation

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

V2 backward compatibility layer mapping underscore-based MCP tool names to V3 slash-based implementations with parameter translation

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

Guides collaborative dialogue to turn ideas into approved designs and specs before any implementation begins.

Plans interface structure, component layout, and interaction details for product flows before implementation.

Web and App implementation guide for 3D UI. Trigger when user wants actual 3D objects, perspective effects, and spatial depth.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.

Guides collaborative dialogue to turn ideas into fully formed designs and specs before any implementation begins.

Guides collaborative dialogue to turn ideas into designs and specs, exploring intent and requirements before any implementation.

Guides users through the specification-driven development workflow, from requirements gathering through specification, test derivation, implementation, and validation.

Routes ambiguous multi-stage UI work across research, concept, Figma, implementation, and QA. Do not use for a clear leaf task.

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Audit screens against Nielsen's heuristics and mobile UX best practices using the StyleSeed Toss design language as the implementation context.

Internal codebase knowledge-check assistant for maintainers. Focus on architecture understanding, implementation details, and change-risk analysis for this repository.

Run a genuinely-parallel multiagent implementation with detailed guidance - plan, gate on environment, spawn subagents concurrently, aggregate, and debug/retry

Use in TURBO mode before finalizing implementation, architecture, UI/UX, 3D web, mobile, SEO/PPC/growth, or programming work.

UI Designer IA — Expert en design visuel, composants UI, design systems, et pixel-perfect implementation. shadcn/ui, Tailwind, Figma → Code.

Audit screens against Nielsen's heuristics and mobile UX best practices using the StyleSeed Toss design language as the implementation context.

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Audit screens against Nielsen's heuristics and mobile UX best practices using the StyleSeed Toss design language as the implementation context.

Audit screens against Nielsen's heuristics and mobile UX best practices using the StyleSeed Toss design language as the implementation context.

Audit a repository, vet and prioritize evidence-backed findings, write drift-aware implementation plans, delegate bounded work, and independently verify results. Use when asked to improve, audit, modernize, harden, review, plan fixes for, or systematically reduce risk in a codebase. Use native isolated agents for implementation; use OpenRouter/free only for narrow advisory audit slices under its safety limits.