ai-engineer-talks

Plugin ai-engineer-talks from marketplace skills-i-use in hiteshbandhu/skills-i-use. Commands read from the repo's manifest — 1 month ago.

Skills (34)

• architect-enterprise-ai

  Runs enterprise AI architecture playbooks from AI Architects @ AI Engineer — AI architect role, agent platforms, voice agents, agent auth (CIAM), trusted inference, team structure, monetization, and product survival. Use when designing org-wide AI systems, agent platforms, or CIO-ready inference; or

• author-agent-skills

  Runs workflows to author, route, and scale agent skills — SKILL.md structure, description-driven discovery, progressive disclosure, and team distribution. Use when the user writes Cursor/Claude/Codex skills, replaces bloated rules files, or says "author skill", "skill.md", "skills at scale", "agent

• build-agent-harnesses

  Runs checklists and workflows for designing, hardening, and operating agent harnesses — guardrails, verify steps, tool loops, durable sessions, eval, quotas, coding/deep-research/voice harnesses. Use when the user builds agent runtimes, asks what a harness is, scopes agent vs workflow, or says "agen

• build-aiewf-2024-rag

  Runs workflows for AIEWF 2024 RAG talks — layout-aware ingest, GraphRAG, eval-driven tuning, Pydantic structured IO, MongoDB vectors, EMT memory, construction vertical agents, personal-assistant data graphs. Use when the user says "RAG", "GraphRAG", "chunking PDF", "Pydantic RAG", or AIEWF retrieval

• build-generative-media

  Builds and ships generative image/video products—FLUX, ComfyUI workflows, Veo, fal platforms, Luma-scale launches, and API-first creator UX. Use when working on diffusion pipelines, Comfy graphs, video models, generative media infra, or viral consumer media launches.

• build-multimodal-products

  Runs workflows for multimodal AI products — realtime voice latency, tiny VLMs, SSM streams, unbounded UX design, dataset hierarchy, AI education. Use when the user builds voice bots, edge vision, multimodal UX, or says "multimodal product", "voice latency", "Moondream".

• build-rag-search-stacks

  Runs checklists and workflows for designing, layering, evaluating, and operating production RAG and AI search — hybrid retrieval, agentic context tools, enterprise eval, web neural search, managed platforms, document agents. Use when the user builds retrieval for agents, picks vector vs lexical vs h

• build-robotics-ai

  Runs workflows for robotics/autonomy talks — lab co-scientist loops, Optimus systems latency, kitchen supervised autonomy, Waymo EMMA, GR00T N1 humanoid FM, open $9k humanoids. Use when the user builds robots, humanoids, AV planning, or lab automation agents.

• build-with-deepmind

  Builds products on Google DeepMind Gemini, Gemma, Nano, Live agents, proactive async agents, and edge deployment. Use when integrating Gemini API, Gemma open models, Android on-device AI, conversational/voice agents, agent manager patterns, or edge Gemma inference.

• build-with-microsoft-ai

  Runs workflows for Microsoft agent stacks — agent observability gaps, eval-driven alignment, and local vs background vs cloud agents in VS Code/Copilot. Use when the user builds on Azure Foundry, GitHub Copilot agents, agent evals, or says "mind the gap observability", "Copilot worktrees", "backgrou

• build-with-openai

  Runs OpenAI API workflows for agents, function calling, voice/Realtime, fine-tuning (SFT/DPO/RFT), sandboxes, Codex coding agents, and multimodal products. Use when building with OpenAI Agents SDK, Realtime API, tool loops, enterprise agent rollout, microVM sandboxes, or GPT-4o vision/voice.

• deploy-public-sector-ai

  Runs workflows for delivering AI inside government — insurgent central teams, forward-deployed engineers, fast in-building wins, department partnerships, and safety/red-team for policy tools. Use when the user works on govtech, civic platforms, public-sector embeds, or says "rewiring the state", "go

• design-agent-skills

  Runs workflows for authoring agent skills — SKILL.md structure, MCP pairing, Langfuse lessons, progressive disclosure, validation. Use when the user writes skills, combines MCP+skills, or says "agent skills", "SKILL.md", "context gap".

• evaluate-with-braintrust

  Evaluates LLM and agent products with Braintrust—offline/online evals, SDK/CI workflows, eval platform design, Zapier/Notion product ops, and Loop-style optimization. Use when the user mentions Braintrust, eval playground, autoevals, production log evals, or agent quality platforms.

• lead-ai-engineering-teams

  Runs leadership workflows for AI-era engineering — context CDLC, org-wide AI adoption, agent-first throughput, and post-engineer team design. Use when the user leads eng org change, measures AI productivity, or says "double throughput", "context is the new code", "agents don't do standups", "AI SDLC

• lead-ai-transformation

  Leads enterprise AI transformation—platform engineering, hiring AI teams, ROI via eval frameworks, values-based investment review, and safe adoption patterns. Use when a VP/Director plans AI platform teams, enterprise LLM ROI, hiring, or governance at AI Engineer World's Fair 2024 leadership session

• learn-summit-2023-remote

  Applies AI Engineer Summit 2023 remote-talk playbooks for evals, hybrid RAG grounding, model selection, fine-tuning, prompt ops, multimodal apps, coding-agent maturity, and career transition from fullstack. Use when reproducing summit remote lessons, comparing LLM eval tools, or scoping hybrid retri

• learn-summit-2023-talks

  Applies AI Engineer Summit 2023 main-stage playbooks for RAG, agents, interfaces, local LLMs, fine-tuning, product velocity, TypeChat/Pydantic, LangChain observability, and the discipline of AI engineering (Swyx, Willison). Use when grounding team practice in summit talks, shipping RAG/agents, or on

• navigate-aie-europe-2026

  Navigates AI Engineer Europe 2026 keynote themes — MCP and skills, agent orchestration, code mode, application layer shifts, judgment vs automation, replacing large codebases with skills, and platform talks (Vercel, Cloudflare, Anthropic, Cursor, OpenClaw). Use when planning 2026 agent architecture,

• navigate-aiewf-2024-keynotes

  Navigates AI Engineer World's Fair 2024 keynote themes—LLM product discipline, copilots, multimodal APIs, enterprise agents, local inference, realtime data, and platform second-order effects. Use when planning AIEWF takeaways, auditing LLM team practices, or choosing vendor/platform direction from 2

• observe-ai-production

  Observes and improves production LLM apps with Arize Phoenix—tracing, layered agent evals, prompt learning loops, and PM/engineering eval pipelines. Use when the user mentions Arize, Phoenix, OpenInference, agent router evals, prompt optimization from traces, or shipping AI with production observabi

• operate-agent-memory

  Runs checklists and workflows for agent context engineering — separating context from memory, smart truncation, sub-agent offload, and long-session evals. Use when the user hits context limits on observability or trace-heavy agents, designs multi-turn memory, or says "context management", "escape co

• operate-legal-ai-agents

  Runs checklists for legal and vertical AI agents — artifact-first UX, tabular review, skills at work nodes, verifier's-rule task mapping, guardrails, decision logs, and human control vs trust. Use when building law-firm agents, contract workflows, Legora-style workspaces, or escaping chat-only legal

• operate-openclaw-agents

  Runs checklists and workflows for deploying, securing, scaling, and evaluating OpenClaw agents — personal incremental setup, enterprise containers, Kubernetes, maintainer PR triage, malleable evals, local vs cloud, team Slack agents. Use when the user deploys OpenClaw, hardens a rollout, designs age

• optimize-llm-inference

  Runs workflows for GPU/inference talks — Groq LPU latency, OSS inference stacks, MoE networking, serverless fine-tune, frontier cluster design, Devin agent infra, Gemma sizing. Use when optimizing inference $/token, training networks, or picking open models.

• plan-sovereign-ai

  Runs checklists for sovereign AI planning — four control pillars, retrofit failure modes, guardrailed agent architecture, and sovereignty acceptance tests. Use when the user must meet GDPR, EU residency, on-prem, air-gap, model swap, or says "sovereign AI", "data sovereignty", "Cloud Act", "Haystack

• price-ai-products

  Runs Stripe-style workflows for AI product pricing — value definition, charge metrics, hybrid models, billing guardrails, and fast iteration. Use when the user prices an AI feature, picks usage vs seats, designs credits, or says "AI pricing", "hybrid pricing", "margin risk", "price AI SaaS".

• run-aiewf-2024-evals

  Runs checklists for AIEWF 2024 eval and LLM ops talks — domain eval ladders, LLM judges, enterprise deploy, Zapier+Braintrust loops, GenAI maturity before fine-tune. Use when the user says "evals", "LLM judge", "fine-tune decision", "enterprise GenAI deploy", or AIEWF eval playlist.

• run-llm-evals

  Runs checklists and workflows for designing, operating, and improving LLM evals — domain harnesses, agent/voice evals, LLM judges, metrics workshops, product flywheels, dynamic search eval, enterprise conversation intelligence. Use when the user says "evals", "LLM judge", "eval harness", "regression

• run-summit-2023-workshops

  Runs AI Engineer Summit 2023 workshop playbooks — foundations (101), inference (201), product patterns beyond inference (Rest of the Owl), and Anthropic prompt engineering principles. Use when onboarding to AI engineering, designing inference stacks, or improving task prompts; or when the user says

• secure-ai-agents

  Security workflows for AI agents: OAuth/MCP identity, enterprise CIAM, tool/API red teaming, code sandboxes, GenAI fuzzing, Azure PyRIT scans, prompt injection drills, web AI bot policy, confidential inference patterns. Use when hardening agents, MCP servers, coding agents, or public apps against ag

• ship-ai-as-pm

  Runs PM workflows from World's Fair talks — AI PM role, knife-fight strategy, ship-to-user focus, uncertain capabilities, expert systems, domain experts, agent coordination platforms, post-engineer orgs, taste-led UX. Use when the user is an AI PM, founder, or shipping AI product strategy.

• ship-aiewf-2024-agents

  Runs workflows for AIEWF 2024 agent talks — Vertex governance, Minecraft JSON actions, voice pipelines, agentic commerce, personas, CrewAI dogfooding, job automation realism. Use when shipping agents, voice agents, or agent marketplaces.

• train-llms-locally

  Runs workflows to train a small LLM from scratch on a laptop — tokenizer, data, architecture, training loop, and nanochat-style hands-on paths. Use when the user wants local pre-training, learns fundamentals, or says "train LLM from scratch", "nanochat", "tokenizer", "pretraining loop".