sherwin-wu-ai-engineering-leadership

Platform-level AI engineering strategy, agent fleet management, deployment diagnostics, and model upgrade planning from the Head of Engineering at OpenAI's API Platform.

Jump to install

Repository: Farrice/mes-knowledge-base
Last source activity: July 18, 2026 at 19:26
Detected SKILL.md language: English
Stars: 0
Forks: 1

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.

A direct command skips the review prompt. Inspect the source before running it.

npx skills add https://github.com/Farrice/mes-knowledge-base --skill sherwin-wu-ai-engineering-leadership

The command stays on one line. Scroll horizontally to inspect it before copying.

Prefer a local copy? Download the files currently available to SkillsMP.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer

31 files

SKILL.md

Source instructions · Read-only preview

Back to search Back to installation

generate

The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.

2026-08-06

video-studio

The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).

2026-08-06

brad-bonanno-explainer-video-architecture

Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.

2026-08-06

View all from this repository

Sherwin Wu: AI Engineering Leadership

Sherwin Wu is Head of Engineering at OpenAI's API Platform — the infrastructure powering virtually every AI startup. Extracted from a deep-dive interview on Lenny's Podcast (17,768 words). His vantage point is unique: he sees deployment patterns, failure modes, and adoption curves across thousands of companies simultaneously. These aren't theories — they're empirical observations from building the platform the AI economy runs on.

Available Workflows

Workflow

Produces

Use When

AI Strategic Foresight Roadmap

AI Strategic Opportunity & Obsolescence Report

Planning long-term AI product strategy or evaluating new market trends

agentic

Agentic Infrastructure Lifecycle

Agentic Operating System & Migration Blueprint

Building, managing, or upgrading a fleet of autonomous AI agents

AI Adoption & Alignment Audit

AI Deployment Recovery & Communication Plan

AI initiatives are failing to show ROI or there is friction between engineering and product teams

Production Hardening Sentinel

AI Production Reliability Blueprint

Moving AI from demo to production, building unattended AI pipelines, or after silent quality degradation

Quick Reference

Genius Context: genius.md — load before any workflow

Legacy Prompts: references/_legacy-prompts/ — archived atomic prompts

Execution Prompts (structure-pure v2)

7 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.

Sherwin Wu — AI Deployment ROI Diagnostic — skills/sherwin-wu-ai-engineering/references/prompts-v2/01-ai-deployment-diagnostic.md

Sherwin Wu — N-Order Opportunity Scanner — skills/sherwin-wu-ai-engineering/references/prompts-v2/02-n-order-opportunity-scanner.md

Sherwin Wu — Agent Fleet Commander — skills/sherwin-wu-ai-engineering/references/prompts-v2/03-agent-fleet-commander.md

Sherwin Wu — Context Architecture Builder — skills/sherwin-wu-ai-engineering/references/prompts-v2/04-context-architecture-builder.md

Sherwin Wu — Scaffolding Obsolescence Audit — skills/sherwin-wu-ai-engineering/references/prompts-v2/05-scaffolding-obsolescence-audit.md

Sherwin Wu — Developer-to-PM Translator — skills/sherwin-wu-ai-engineering/references/prompts-v2/06-developer-to-pm-translator.md

Sherwin Wu — Model Upgrade Migration Planner — skills/sherwin-wu-ai-engineering/references/prompts-v2/07-model-upgrade-migration-planner.md

Sherwin Wu: AI Engineering Leadership

Available Workflows

Workflow

Produces

Use When

AI Strategic Foresight Roadmap

AI Strategic Opportunity & Obsolescence Report

Planning long-term AI product strategy or evaluating new market trends

agentic

Agentic Infrastructure Lifecycle

Agentic Operating System & Migration Blueprint

Building, managing, or upgrading a fleet of autonomous AI agents

AI Adoption & Alignment Audit

AI Deployment Recovery & Communication Plan

AI initiatives are failing to show ROI or there is friction between engineering and product teams

Production Hardening Sentinel

AI Production Reliability Blueprint

Moving AI from demo to production, building unattended AI pipelines, or after silent quality degradation

Quick Reference

Genius Context: genius.md — load before any workflow

Legacy Prompts: references/_legacy-prompts/ — archived atomic prompts

Execution Prompts (structure-pure v2)

Sherwin Wu — AI Deployment ROI Diagnostic — skills/sherwin-wu-ai-engineering/references/prompts-v2/01-ai-deployment-diagnostic.md

Sherwin Wu — N-Order Opportunity Scanner — skills/sherwin-wu-ai-engineering/references/prompts-v2/02-n-order-opportunity-scanner.md

Sherwin Wu — Agent Fleet Commander — skills/sherwin-wu-ai-engineering/references/prompts-v2/03-agent-fleet-commander.md

Sherwin Wu — Context Architecture Builder — skills/sherwin-wu-ai-engineering/references/prompts-v2/04-context-architecture-builder.md

Sherwin Wu — Scaffolding Obsolescence Audit — skills/sherwin-wu-ai-engineering/references/prompts-v2/05-scaffolding-obsolescence-audit.md

Sherwin Wu — Developer-to-PM Translator — skills/sherwin-wu-ai-engineering/references/prompts-v2/06-developer-to-pm-translator.md

Sherwin Wu — Model Upgrade Migration Planner — skills/sherwin-wu-ai-engineering/references/prompts-v2/07-model-upgrade-migration-planner.md

name	Sherwin Wu: AI Engineering Leadership
description	Platform-level AI engineering strategy, agent fleet management, deployment diagnostics, and model upgrade planning from the Head of Engineering at OpenAI's API Platform.
version	2.0
format	completion-engine
workflows	4

name	Sherwin Wu: AI Engineering Leadership
description	Platform-level AI engineering strategy, agent fleet management, deployment diagnostics, and model upgrade planning from the Head of Engineering at OpenAI's API Platform.
version	2.0
format	completion-engine
workflows	4

sherwin-wu-ai-engineering-leadership

Source facts

Install options

Review the source files

More from this repository

More from this repository