website-to-hyperframes
Capture a website and create a HyperFrames video from it. Use when: (1) a user provides a URL and wants a video, (2) someone says "capture this site", "turn this into a video", "make a promo from my site", (3) the user wants a social ad, product tour, or any video based on an existing website, (4) the user shares a link and asks for any kind of video content. Even if the user just pastes a URL โ this is the skill to use.
What this skill does
# Website to HyperFrames
Capture a website, then produce a professional video from it.
Users say things like:
- "Capture https://... and make me a 25-second product launch video"
- "Turn this website into a 15-second social ad for Instagram"
- "Create a 30-second product tour from https://..."
The workflow has 7 steps. Each produces an artifact that gates the next. By default it's collaborative โ gates marked ๐ฌ stop and ask the user. If the user signals autonomous mode ("decide for me", "surprise me"), ๐ฌ user-preference gates are skipped; see step-2-brief.md for how that propagates.
**Autonomous mode is NOT "skip all gates."** Auto mode covers user-preference questions (TTS provider, voice, color emphasis, beat count, music yes/no, captions yes/no โ where the agent decides on the user's behalf). It does NOT cover quality-verification gates. The following remain non-skippable in auto mode:
- Asset Audit (Step 3) โ viewing contact sheets and justifying USE/SKIP for each asset
- Per-beat HTML read (Step 5) โ structured evidence block per beat
- DoD checklist (Step 6) โ including animation-map, per-warning WCAG verification, audio/motion playback
- Honest disclosure section (Step 6) โ "What I did NOT verify" must appear in your final summary
If you find yourself reasoning "auto mode says bias toward action, so I'll skip X" โ and X is a verification gate, not a preference question โ that reasoning is wrong. Bias toward action applies to deciding _what to build_, not to deciding _whether to verify_.
---
## Step 0: Capture & Understand the Brand
**Read:** [references/step-0-capture.md](references/step-0-capture.md)
Capture the site, then read the extracted data to understand the **brand and product** โ what it does, who it's for, what voice it speaks in, what mood it lives in. The captured assets are a brand toolkit for later, not the building blocks the video is made from.
**Gate:** Site summary printed โ strategy-first (what the product does, who it's for, brand voice) before the asset / color / font inventory.
---
## Step 1: Brand Identity
**Read:** [references/step-1-design.md](references/step-1-design.md)
Write DESIGN.md โ a brand cheat sheet covering the visual identity: colors, typography, component styles, layout principles. Use `design-styles.json` for exact computed values.
**Speed option:** For fast-pacing videos (billboard-per-beat), DESIGN.md can be a 50-line summary of colors + fonts + do's/don'ts โ not a 300-line document. The sub-agent prompt in Step 5 pastes brand values directly, so DESIGN.md depth only matters for complex compositions.
**Gate:** `DESIGN.md` exists (any length) with at minimum: color palette, font choices, and do's/don'ts.
---
## Step 2: Strategy & Messaging
**Read:** [references/step-2-brief.md](references/step-2-brief.md), [references/capabilities.md](references/capabilities.md) (scan the Table of Contents โ deep-dive sections only as needed)
Align with the user on **what the video must communicate** before talking visuals or assets. Parse the user's prompt โ they probably already gave you the video type and style. Ask only what's missing: the ONE thing this video must say, the narrative arc, and the audience.
**Gate:** Video type, duration, format, and โ critically โ the message and narrative arc are locked. Without those, Step 3 can't write a concept-first storyboard.
---
## Step 3: Storyboard + Script ๐ฌ
**Read:** [references/step-3-storyboard.md](references/step-3-storyboard.md)
Write the storyboard concept-first: message โ narrative arc โ beats that serve the arc โ techniques per beat โ brand accents pass at the end. Then write the narration script to match. Present both to the user with a beat-by-beat summary. Iterate until they approve.
**Gate:** `STORYBOARD.md` + `SCRIPT.md` exist AND the user has approved the plan.
---
## Step 4: VO, Timing + Captions ๐ฌ
**Read:** [references/step-4-vo.md](references/step-4-vo.md)
If Step 2 said no narration โ ask about background music, then skip to Step 5. Otherwise: ask the user which TTS provider (HeyGen TTS, ElevenLabs, or Kokoro), generate audio, transcribe, map timestamps to beats. Then ask about captions.
**Gate:** Either (a) no narration was requested and storyboard has manual beat timings, or (b) `narration.wav` + `transcript.json` exist and beat timings updated with real durations.
---
## Step 5: Build Compositions
**Read:** The `hyperframes` skill (load it โ every rule matters)
**Read:** [references/step-5-build.md](references/step-5-build.md)
Build index.html and compositions following the architecture and pacing chosen in the storyboard (Step 3). Sub-agents run `hyperframes lint` and `hyperframes snapshot` on each beat before reporting back.
**Gate:** Every `compositions/beat-N.html` has been read top-to-bottom by the main agent against DESIGN.md and STORYBOARD.md. The per-beat checklist lives in [step-5-build.md](references/step-5-build.md).
---
## Step 6: Validate & Deliver
**Read:** [references/step-6-validate.md](references/step-6-validate.md)
Lint, validate, take snapshots scaled to video length (formula: `max(beats ร 3, ceil(duration_seconds / 2))`), and review each one. Fix issues before delivering. Deliver the localhost Studio project URL โ only render to MP4 on explicit user request.
**Deliver something you're proud of.** Before handing off, ask yourself: would I post this on social media with my name on it? If not, fix what's wrong.
**Gate:** `npx hyperframes lint` and `npx hyperframes validate` pass with zero errors, and the final response includes the active Studio project URL.
---
## Quick Reference
### Video Types
Typical constraints by video type โ use as a starting point, not a formula. Beat count should follow from the content and the narration, not from a target range.
| Type | Typical duration | Duration driver | Narration |
| --------------------- | ---------------- | ------------------ | --------------------- |
| Social ad (IG/TikTok) | 10โ15s | Platform limit | Optional |
| Product demo | 30โ60s | Script length | Full narration |
| Feature announcement | 15โ30s | Feature complexity | Full narration |
| Brand reel | 20โ45s | Music track | Optional, music focus |
| Launch teaser | 10โ20s | Hook energy | Minimal |
Beat count is not in this table intentionally โ it should come from the storyboard, not from "social ad = 3-4 beats." A social ad for a complex product might need 5 well-timed beats. A brand reel with one strong visual thesis might need 3.
### Format
- **Landscape**: 1920x1080 (default)
- **Portrait**: 1080x1920 (Instagram Stories, TikTok)
- **Square**: 1080x1080 (Instagram feed)
### Reference Files
| File | When to read |
| ---------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- |
| [step-0-capture.md](references/step-0-capture.md) | Step 0 โ capture, understand the brand and product, write strategy-first site summary |
| [step-1-design.md](references/step-1-design.md) | Step 1 โ write DESIGN.md brand cheat sheet (5 sections, 250-350 lines; 50-line fast-path for billboard-style social ads) |
| [step-2-brief.md](references/step-2-brief.md) | Step 2 โ align on message, narrative arc, audience with user Related in Ads & Marketing
ads
IncludedMulti-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, and Apple Ads. 250+ checks with scoring, parallel agents, industry templates, and AI creative generation.
banana
IncludedAI image generation Creative Director powered by Google Gemini Nano Banana models. Use this skill for ANY request involving image creation, editing, visual asset production, or creative direction. Triggers on: generate an image, create a photo, edit this picture, design a logo, make a banner, visual for my anything, and all /banana commands. Handles text-to-image, image editing, multi-turn creative sessions, batch workflows, and brand presets.
rpg-migration-analyzer
IncludedAnalyzes legacy RPG (Report Program Generator) programs from AS/400 and IBM i systems for migration to modern Java applications. Extracts business logic from RPG III/IV/ILE source code, identifies data structures (D-specs), file operations (F-specs), program dependencies (CALLB/CALLP), and converts RPG constructs to Java equivalents. Generates migration reports, complexity estimates, and Java implementation strategies with POJO classes, JPA entities, and service methods. Use when modernizing AS/400 or IBM i legacy systems, analyzing RPG source files (.rpg, .rpgle, .RPGLE), converting RPG to Java, mapping data specifications to Java classes, planning legacy system migration, or when user mentions RPG analysis, Report Program Generator, RPG III/IV/ILE, AS/400 modernization, IBM i migration, packed decimal conversion, or mainframe application rewrite.
brand-library-architect
IncludedBuild a complete brand library for a product โ visual asset render pipeline, brand documentation set (BRAND, COPY, MANIFESTO, BIOS, FAQ, GLOSSARY, TONE, PRICING), open-source convention files (README, CONTRIBUTING, SECURITY, CODE_OF_CONDUCT), and a self-contained press kit. This skill should be used when the user asks to "build a brand library / brand kit / press kit / brand assets" for a product, "set up a brand library workflow," "create a positioning manifesto plus visual identity," or any combination of brand documentation + visual asset pipeline. Apply phase-by-phase or run end-to-end. Templates are product-agnostic and use {{TOKEN}} placeholders the skill prompts the user to fill.
writing-tech-post
IncludedAuthors engineering blog posts end-to-end: launch deep-dives, incident postmortems, architecture migrations, performance case studies, tutorials, AI/agent system writeups, security disclosures, and research-to-product translations. Picks the correct archetype, plans the abstraction ladder, enforces an evidence cadence (diagrams, benchmarks, profiles, traces, code, ablations), tunes voice against publisher house styles (Datadog, Vercel, GitHub, AWS, Meta, Cloudflare, Jane Street), and runs a pre-publish gate for narrative momentum and disclosure ethics. Use when drafting a new engineering post, restructuring a draft that feels flat, deciding which evidence form belongs where, validating that depth and product context are balanced, or preparing a postmortem, migration, or performance narrative for external publication. Do not use for API reference documentation, README authoring, marketing copy, release notes, generic SEO content, ghost-written executive thought leadership, or non-engineering long-form essays.
blog-google
IncludedGoogle API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity analysis for E-E-A-T, YouTube video search for embedding, and Google Ads Keyword Planner. Progressive feature availability based on credential tier (API key, OAuth/service account, GA4, Ads). Shares config with claude-seo at ~/.config/claude-seo/google-api.json. Use when user says "google data", "page speed", "core web vitals", "search console", "indexation", "GA4", "keyword research", "nlp entities", "blog performance", "youtube search", "google api setup".