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Sean Kochel's systematic research-to-design-to-build pipeline for landing pages and web assets that look professional — not AI-generated.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/Farrice/mes-knowledge-base --skill sean-kochel-design-first-web-buildingコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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SKILL.md を表示中
| name | Sean Kochel: Design-First Web Building |
| description | Sean Kochel's systematic research-to-design-to-build pipeline for landing pages and web assets that look professional — not AI-generated. |
| version | 2.0 |
| format | completion-engine |
| workflows | 2 |
Systematic pipeline turning competitive research into approved designs into pixel-perfect code. The system that prevents the #1 vibe coding failure: under-specified plans. Source: "How to Vibe Code a Clean Landing Page (For Free)" — YouTube, Sean Kochel.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| strategic | Strategic Research & Architecture | Strategic Landing Page Architecture Document | Starting a new landing page and needing to define the competitive positioning and structural foundation before any design work begins. |
| design | Design-to-Code Execution | Production-Ready Website Codebase | You have a finalized page architecture and need to create a professional visual design and translate it into functional, pixel-perfect code. |
6 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.
skills/sean-kochel-design-first-build/references/prompts-v2/competing-hypotheses-generator.mdskills/sean-kochel-design-first-build/references/prompts-v2/competitive-research-brief.mdskills/sean-kochel-design-first-build/references/prompts-v2/copy-integration-pass.mdskills/sean-kochel-design-first-build/references/prompts-v2/design-scaffold-prompt.mdskills/sean-kochel-design-first-build/references/prompts-v2/landing-page-section-architect.mdskills/sean-kochel-design-first-build/references/prompts-v2/stitch-to-code-builder.mdThe /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.
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).
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.
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