aicodedecode

3d-designer

Create 3D visuals with modeling, texturing, lighting, rendering, and optimization for web and product.

abstract-writing

Writing abstracts that get papers read — structured content, the 5-sentence core, and journal-specific constraints.

accessibility-design-checker

Audit designs for accessibility with WCAG checklists covering color, type, focus, motion, and content.

account-based-marketing

Run ABM programs — target account selection, personalized campaigns, sales orchestration, and account-level measurement.

active-learning

Label smarter, not more — pick the most informative examples for annotation to maximize model gains per label.

affective-computing-basics

Measuring emotion from behavior and physiology — facial expression, voice, EDA, and self-report integration.

affiliate-manager

Build and run affiliate programs — recruitment, commission structures, partner enablement, and fraud prevention.

Evaluate AI agents rigorously — task benchmarks, success criteria, failure taxonomy, cost/latency tracking, and regression testing. Use when you need to know whether an agent actually works, not whether it demos well.

agent-manager-skill

Manage fleets of local AI agents — spawn, supervise, route tasks, monitor progress, and shut down workers cleanly. Use when coordinating multiple agents on parallel workstreams.

agent-memory-architectures

Architect persistent, searchable memory for agents — episodic, semantic, and procedural stores with retrieval, consolidation, and forgetting policies. Use when designing how an agent remembers across sessions.

agent-memory-systems

Design memory for AI agents — short-term context, long-term stores, retrieval strategies, and memory-augmented reasoning. Use when an agent must remember facts, learn preferences, or stay coherent across sessions.

agent-orchestration

Orchestrate agents at runtime — task routing, scheduling, parallel execution, result aggregation, and supervision dashboards. Use when running agents as a managed fleet rather than one-off calls.

agent-tool-builder

Design tools for AI agents — clean function interfaces, typed schemas, informative errors, idempotency, and tool documentation. Use when giving an agent new capabilities or fixing flaky tool use.

agent-workflows

Build reusable agent workflow patterns — subagents with scoped briefs, event hooks, slash commands, and session management. Use when turning one-off agent tasks into repeatable, composable workflows.

agents-autogpt

Run goal-driven autonomous agent loops — decomposing objectives, executing tool chains, self-critiquing, and iterating until done. Use when exploring what fully autonomous task execution looks like and its limits.

agents-crewai

Coordinate teams of role-based agents — role definitions, task delegation, sequential and hierarchical workflows, and shared memory. Use when a job naturally splits into specialist roles collaborating.

agents-langchain

Build LLM applications with chain-style orchestration frameworks — prompts, chains, tool-calling agents, memory, and retrieval pipelines. Use when structuring multi-step LLM programs, adding tools to a model, or composing RAG systems in code.

agents-llamaindex

Build data-centric LLM applications with indexing and retrieval frameworks — document ingestion, indices, query engines, and RAG pipelines. Use when the core problem is getting the right data in front of the model.

agents-openai

Build agents on OpenAI's platform patterns — assistants-style threads, function calling, structured outputs, and multi-step tool workflows. Use when working with OpenAI models as the agent engine.

agents-pro

AI agent guidance — agent architecture, tool design, planning loops, guardrails, evaluation, and production agents.

ai-agents-architect

Architect autonomous agent systems — perception/action loops, tool design, planning strategies, memory, and multi-agent orchestration patterns. Use when designing an agent from scratch or scaling a prototype to production.

ai-chatbot-builder

Build AI chatbots end to end — conversation design, persona, retrieval grounding, escalation, and deployment. Use when creating a chatbot for support, sales, or internal assistance.

ai-engineer

Ship AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.

ai-image-prompting

Craft effective AI image prompts with structured syntax, style control, and iterative refinement techniques.

ai-safety

Practice AI safety across the lifecycle — risk assessment, alignment concepts, evaluation, deployment safeguards, and governance. Use when building or deploying AI systems responsibly.

ai-sdk-ui

Build streaming AI user interfaces with AI SDK patterns — message rendering, tool-call displays, loading states, and optimistic updates. Use when creating chat UIs that stream model output and show agent activity.