# Feature Research

**Domain:** Content Generation Layer (Nexus v1.7) — agents produce visual, document, and media deliverables
**Researched:** 2026-04-04
**Confidence:** MEDIUM-HIGH — technology capabilities verified via docs and ecosystem research; UX expectations inferred from comparable tools (Canva, Pitch, Mermaid Live, Figma tokens); skill system patterns based on existing Nexus skill architecture

---

## Milestone Scope

This document covers only NEW features in v1.7. The following are already built and are dependencies, not deliverables:

- File system with upload, git versioning, PLACEHOLDERS.md manifest (v1.3)
- Skill system with Skill Aggregator and company skills API (Paperclip upstream)
- Chat interface with streaming SSE (v1.3)
- Agent orchestration, heartbeat lifecycle (Paperclip upstream)
- Voice I/O with Whisper STT + Piper TTS (v1.6)
- Hermes adapter with native skills, Ollama integration (v1.4)

**New features being researched:**

- Presentations and video generation via Remotion
- Placeholder assets with DRAFT styling and manifest tracking
- Theme and palette generator (seed color → full theme, WCAG AA, exports)
- Wallpapers and visual assets (desktop/mobile, banners, OG images)
- Diagram generation (natural language → Mermaid → SVG/PNG)
- Document generation (PDF reports, invoices, one-pagers)
- Icon generation (SVG from description, consistent sets)
- Social media content (platform-formatted posts, carousels, hashtags)
- Branding media kit (full brand identity from conversation)
- Content types as installable Nexus skills

---

## Feature Landscape

### Table Stakes (Users Expect These)

Features that must exist for content generation to feel complete. Missing any of these and the deliverable is not production-ready.

| Feature | Why Expected | Complexity | Notes |
|---------|--------------|------------|-------|
| Download produced file directly | Every generator (Canva, Pitch, Remotion) lets you download the output; no download = the tool is a preview, not a generator | LOW | Route: `GET /api/content/:jobId/download`; serve the file buffer with correct MIME type and `Content-Disposition: attachment` |
| Show a preview of the output | Users need to see what was generated before downloading — a blank "file ready" message is not sufficient | MEDIUM | For images/SVG: `<img>` or inline SVG; for PDF: `<iframe src="...">` or pdf.js; for Remotion: Remotion Player component; for diagrams: rendered SVG inline |
| Generation status feedback | Content generation jobs (PDF, Remotion render, Mermaid) can take 5–60s; a spinner with no progress info creates anxiety | LOW | SSE progress events or polling with status enum: `queued → generating → ready → error`; show estimated time where possible |
| Error recovery with explanation | If generation fails, the user needs to know why and what to try next | LOW | Return structured error: `{ error: "model_not_installed", message: "Ollama llava model required for image generation", suggestion: "Run: ollama pull llava" }` |
| Save output to file system | Generated files belong in the existing file system so they participate in git versioning and the PLACEHOLDERS.md manifest | MEDIUM | Integrate with existing file upload pipeline: write generated file to workspace directory, call git versioning hook, update PLACEHOLDERS.md |
| Re-generate with revised prompt | Users iterate on generated content; "generate and you're done" misses 80% of actual workflow | LOW | Store generation parameters (prompt, theme, options) with the job; "regenerate" re-calls with same params + optional overrides |
| Content type labeled clearly | A diagram, a PDF, and a video are fundamentally different outputs; conflating them in one UI creates confusion | LOW | Each content type has a distinct icon, label, and preview strategy; use a type registry not ad hoc conditionals |

### Differentiators (Competitive Advantage)

Features that distinguish Nexus content generation from Canva/Pitch/generic generators.

| Feature | Value Proposition | Complexity | Notes |
|---------|-------------------|------------|-------|
| Agent-driven generation from chat | User describes what they want in natural language; the agent selects the right content type, calls the generation skill, and delivers a file — no form-filling | HIGH | Requires agent skill routing: agent detects "make me a diagram of the user flow" → invokes `diagram-generation` skill → returns SVG file attachment in chat; skill selection uses existing Nexus Skill Aggregator |
| Content types as installable skills | Each generator (diagrams, PDFs, wallpapers, presentations) is a separate installable skill, not a monolithic feature — users install only what they need | HIGH | Follow existing `skills/paperclip/` pattern; each skill has `SKILL.md`, optional `references/`, and is registered via company skills API; agents get assigned the relevant skills |
| PLACEHOLDERS.md manifest integration | Every generated asset — including draft placeholders — is tracked in the existing PLACEHOLDERS.md manifest with status (draft/final), source prompt, and generator version | MEDIUM | Extend existing manifest format; add `generator`, `prompt_hash`, `generated_at` fields; draft assets get DRAFT watermark applied at generation time |
| Seed-color-to-full-theme pipeline | User provides one hex color; system generates a complete accessible color system (primary, secondary, accent, neutral, semantic colors) with WCAG AA compliance verified | HIGH | Use OKLCH/LCh color model for perceptually uniform lightness; verify 4.5:1 contrast for text pairs; export to CSS custom properties, Tailwind config, and JSON token format |
| WCAG AA enforced, not optional | Theme generator refuses to export palettes that fail contrast requirements — accessibility is baked in, not a checkbox | MEDIUM | Run contrast check on every text/background pair; if a combination fails, auto-adjust lightness until compliant; show contrast ratio in preview |
| Diagram from natural language | User says "flowchart of the auth pipeline" in chat; agent generates Mermaid syntax, renders SVG, attaches to the conversation | MEDIUM | LLM generates valid Mermaid; `@mermaid-js/mermaid-cli` renders server-side; fallback: return raw Mermaid for user to copy into mermaid.live; store `.mmd` source + rendered `.svg` |
| Local-only operation | All generation (Remotion render, PDF, Mermaid, Satori images) runs on Mac Mini M4 without cloud API calls; no data leaves the machine | MEDIUM | Reject cloud-dependent generators (no DALL-E, no Stable Diffusion API); prefer deterministic generators (Mermaid, Satori, Remotion, Playwright PDF) that need only the local LLM + local tools |
| Branding kit from conversation | User chats about their project; agent extracts brand DNA (colors, typography, tone) and produces a coherent brand kit — no form, no design background required | HIGH | Multi-step: LLM extracts brand parameters → theme generator → typography selector → icon style picker → assembles ZIP with CSS tokens, font stack, sample SVG logo, OG image template |

### Anti-Features (Commonly Requested, Often Problematic)

| Feature | Why Requested | Why Problematic | Alternative |
|---------|---------------|-----------------|-------------|
| Image generation via Stable Diffusion or DALL-E | "Make me an illustration of..." seems like a natural content type | SD requires GPU VRAM (conflicts with LLM VRAM budget on M4); DALL-E is cloud, data leaves machine; output quality is non-deterministic and hard to brand-consistently | Deterministic vector tools: Satori for OG images/banners, icon description → SVG path via LLM (text-to-SVG), wallpaper = CSS gradient/pattern composition; no raster AI images in v1.7 |
| Real-time collaborative editing of generated content | "Let the agent iterate with me live" | Requires a full rich-text or canvas editor (collaborative editing is a product in itself); far outside scope | Chat-and-regenerate loop: show output, accept feedback as text, regenerate — no in-place editing |
| Font embedding in all output formats | "I want my brand font in the PDF and video" | Font licensing for system-level embed is complex; font subsetting in PDF requires careful handling; Remotion font loading has SSR implications | Use system-safe font stacks for PDF (Helvetica, Times, Courier are embed-safe); Remotion uses `@remotion/google-fonts` for web-safe options; custom font is a v2 concern |
| Batch generation (50 social posts at once) | "Generate a month of content in one click" | Job queue depth, disk space, and UI feedback for 50 concurrent generation jobs is significant infrastructure work | Single-at-a-time generation with a "generate next variant" button; queue infrastructure is a v2 concern |
| Auto-publish to social platforms | "Post directly to Twitter/LinkedIn" | OAuth token management per platform, platform API rate limits, legal liability for AI-generated content posted as the user | Download + manual post; provide platform-formatted file with exact recommended dimensions; no publishing API integration in v1.7 |
| Template marketplace / sharing | "Share my Remotion template with others" | Multi-user/multi-workspace concerns; the Nexus model is single-workspace, single-user | Templates stored in workspace file system under `templates/`; user can git-push to share; no marketplace infrastructure |
| Animated / lottie social content | "Animated post for Instagram stories" | Lottie export from Remotion is possible but adds significant complexity; Instagram animated format requirements are strict | Static images for social in v1.7; Remotion video export covers the animation use case separately |
| AI logo design (raster output) | "Generate my company logo" | AI raster logos are non-scalable and inconsistent across regenerations; brand identity requires reproducibility | SVG icon generation from description using LLM-as-code (the LLM writes SVG path code); deterministic, scalable, reproducible |

---

## Feature Dependencies

```
Content Skill System (foundation)
    └──required-by──> All content types (diagrams, PDFs, presentations, themes, icons)
    └──requires──> Existing Skill Aggregator + company skills API [already built]
    └──requires──> Agent skill routing (chat → skill invocation → file attachment)

Diagram Generation
    └──requires──> @mermaid-js/mermaid-cli (server-side render to SVG/PNG)
    └──requires──> LLM to generate valid Mermaid syntax
    └──produces──> SVG + raw .mmd source → saved to file system

PDF Generation
    └──requires──> Playwright (headless Chromium) OR pdf-lib (programmatic)
    └──choice: Playwright for HTML-template-based PDFs (reports, one-pagers)
    └──choice: pdf-lib for programmatic PDFs (invoices, receipts with data)
    └──produces──> .pdf file → saved to file system

Theme Generator
    └──requires──> Color math library (chroma-js or culori for OKLCH)
    └──requires──> WCAG contrast calculation (wcag-color-contrast or manual APCA)
    └──produces──> CSS custom properties file + JSON tokens + Tailwind config
    └──consumed-by──> Branding media kit (uses theme as input)

Remotion Presentations + Video
    └──requires──> @remotion/renderer (server-side render to MP4/still frames)
    └──requires──> Node.js >=18 (already met)
    └──requires──> ffmpeg-static (already in stack from v1.6 for audio; reused for video)
    └──produces──> .mp4 or .png stills → saved to file system
    └──optionally-uses──> Theme generator (colors, typography from brand kit)

Wallpapers + Visual Assets (OG images, banners, social headers)
    └──requires──> Satori (HTML/CSS → SVG) + Sharp (SVG → PNG, resize)
    └──requires──> Platform dimension registry (OG: 1200×630, LinkedIn: 1584×396, etc.)
    └──produces──> PNG files at multiple sizes → saved to file system
    └──optionally-uses──> Theme generator (brand colors)

Icon Generation (SVG)
    └──requires──> LLM to generate SVG path code from description
    └──no external rendering lib needed (SVG is text)
    └──produces──> .svg files → saved to file system
    └──consumed-by──> Branding media kit

Social Media Content
    └──requires──> Wallpaper/banner generator (for image posts)
    └──requires──> LLM (for copy: captions, hashtags, platform-appropriate tone)
    └──requires──> Platform spec registry (image sizes, character limits per platform)
    └──produces──> Platform folder: {platform}/{size}.png + caption.txt + hashtags.txt

Branding Media Kit
    └──requires──> Theme generator (colors)
    └──requires──> Icon generator (SVG logo concept)
    └──requires──> Wallpaper generator (OG image, banner)
    └──requires──> LLM (typography pairing, brand voice, tagline)
    └──produces──> ZIP archive: brand-kit.zip containing all assets + CSS tokens

Placeholder Asset System
    └──requires──> File system with PLACEHOLDERS.md [already built]
    └──requires──> Any generator (diagram, wallpaper, PDF) to set draft flag
    └──produces──> Asset file with DRAFT watermark + PLACEHOLDERS.md entry
    └──resolves-via──> "generate final" command removes watermark, updates manifest
```

### Dependency Notes

- **Content Skill System is the foundation.** Every content type is a skill. If the skill routing pattern is not established first, each content type becomes a disconnected one-off endpoint.
- **Satori + Sharp is the image stack for all 2D raster outputs.** Do not introduce a separate image library per content type — Satori handles the JSX/CSS layout, Sharp handles PNG conversion and resizing. One pipeline for wallpapers, OG images, social headers, and banner generation.
- **Playwright for HTML-template PDFs, pdf-lib for data-driven PDFs.** Do not use a single library for both — Playwright is better for design-rich output, pdf-lib is better for invoices and receipts. Use the right tool per use case.
- **ffmpeg-static already in v1.6 stack.** Remotion's video pipeline reuses it — do not add a second FFmpeg dependency.
- **Branding media kit is a composition of other skills.** It is not a standalone generator; it orchestrates theme → icons → wallpapers → copy and zips the outputs.
- **PLACEHOLDERS.md integration is cross-cutting.** Every content generator must write to the manifest on save; this is not optional per the v1.7 milestone requirements.

---

## MVP Definition

### Launch With (v1.7 Milestone — P1)

The minimum set to make content generation genuinely useful as a daily workflow tool.

- [ ] **Content skill system scaffolding** — Skill registration pattern, agent routing, file attachment to chat; gates everything else
- [ ] **Diagram generation** — NL → Mermaid → SVG/PNG; most requested, lowest complexity, immediate productivity value for a developer
- [ ] **Theme and palette generator** — Seed color → full color system with WCAG AA; exports CSS tokens + JSON; standalone value even without other generators
- [ ] **Placeholder asset system** — DRAFT watermark on any generated file + PLACEHOLDERS.md entry; prevents generated assets from being accidentally shipped unreviewed
- [ ] **PDF generation** — Playwright-based HTML → PDF for reports/one-pagers; pdf-lib for invoices; solves a concrete recurring task
- [ ] **Wallpapers and OG images** — Satori + Sharp pipeline; produces desktop wallpaper, OG image, and LinkedIn/Twitter header from a single theme config

### Add After Validation (v1.7.x — P2)

- [ ] **Icon generation (SVG)** — LLM-as-SVG-coder; trigger: user asks for consistent icon set for a project
- [ ] **Social media content** — Platform-formatted posts + captions; trigger: user has a completed project and needs to announce it
- [ ] **Remotion presentations** — React-component slides → MP4/stills; trigger: user needs a pitch deck or demo video; requires careful VRAM budget on M4

### Future Consideration (v2+ — P3)

- [ ] **Branding media kit** — Full brand kit ZIP; requires all other generators to be stable first; high coordination cost
- [ ] **Batch generation** — Multiple variants or sizes at once; requires job queue infrastructure
- [ ] **Template library** — Reusable Remotion/Satori templates stored in workspace
- [ ] **Font embedding** — Custom font in PDF and video; requires font licensing audit and subsetting

---

## Feature Prioritization Matrix

| Feature | User Value | Implementation Cost | Priority |
|---------|------------|---------------------|----------|
| Content skill system | HIGH | MEDIUM | P1 |
| Diagram generation | HIGH | LOW | P1 |
| Theme + palette generator | HIGH | MEDIUM | P1 |
| Placeholder asset system | MEDIUM | LOW | P1 |
| PDF generation | HIGH | MEDIUM | P1 |
| Wallpapers + OG images (Satori) | MEDIUM | MEDIUM | P1 |
| Icon generation (SVG) | MEDIUM | LOW | P2 |
| Social media content | MEDIUM | MEDIUM | P2 |
| Remotion presentations + video | HIGH | HIGH | P2 |
| Branding media kit | HIGH | HIGH | P3 |
| Batch generation | LOW | HIGH | P3 |
| Template library | MEDIUM | MEDIUM | P3 |

**Priority key:**
- P1: Must have for v1.7 launch
- P2: Should have; add when P1 is stable
- P3: Future milestone

---

## Content Type Profiles

Detailed breakdown of what each content type requires and delivers.

### Diagram Generation

**User trigger:** "Draw me a sequence diagram of the auth flow" in chat
**Input:** Natural language description
**Output:** `.svg` + `.mmd` (Mermaid source) files
**Generator:** LLM → Mermaid syntax → `@mermaid-js/mermaid-cli` `run()` API
**Preview:** Inline SVG in chat bubble
**Complexity:** LOW — Mermaid CLI has Node.js programmatic API; LLMs are good at generating valid Mermaid
**Risk:** LLM occasionally produces invalid Mermaid syntax; must validate and retry or surface the raw `.mmd` for user to fix in mermaid.live
**Platform spec:** Vector SVG = no size constraint; PNG export at 2x for retina via `--scale 2`

### Theme + Palette Generator

**User trigger:** "Generate a color theme from #2563EB" or "Create a dark theme for my portfolio"
**Input:** Seed hex color + optional: mode (light/dark/both), style (minimal/vibrant/muted)
**Output:** `theme.css` (CSS custom properties), `theme.json` (design tokens), `tailwind.config.ts`
**Generator:** Server-side color math using OKLCH/LCh model; no LLM required for color generation; LLM assists with labeling semantic colors (primary, danger, success)
**Preview:** Live color swatches with contrast ratio overlay in UI
**Complexity:** MEDIUM — OKLCH color math is non-trivial; WCAG AA enforcement requires iteration loop
**WCAG AA rule:** Every text/background combination must hit 4.5:1 contrast ratio; auto-adjust lightness until compliant
**Exports:** Three formats (CSS, JSON, Tailwind) from same data model

### Placeholder Asset System

**User trigger:** Any content generator can emit a "draft" asset; user explicitly marks an asset as a draft placeholder
**Input:** Any generated file + optional placeholder label
**Output:** File with diagonal DRAFT watermark (SVG overlay for images/PDFs, badge for other types) + PLACEHOLDERS.md entry
**Generator:** Post-processing step in every content pipeline, not a standalone generator
**Manifest fields:** `path`, `type`, `status` (draft/final), `generator`, `prompt_hash`, `generated_at`, `resolved_at`
**Complexity:** LOW — SVG watermark overlay is a compositing operation; PLACEHOLDERS.md is an existing format to extend
**Resolve flow:** "finalize this asset" removes watermark, updates manifest status to `final`

### PDF Generation

**Use case A — Design-rich reports and one-pagers:** HTML template rendered with Playwright headless Chromium → PDF
- Supports full CSS (flexbox, grid, custom fonts via @font-face)
- Startup cost: 1–3s browser init; reuse browser instance across requests
- Output: pixel-accurate PDF matching HTML preview

**Use case B — Invoices, receipts, data tables:** programmatic construction with `pdf-lib`
- No browser dependency; pure Node.js; fast (<200ms for simple documents)
- Supports: text positioning, tables, page breaks, image embedding
- Output: structured PDF from data objects

**User trigger:** "Generate a project summary PDF" (→ Playwright) or "Create an invoice for client X" (→ pdf-lib)
**Complexity:** MEDIUM (Playwright browser lifecycle management; pdf-lib API for data-driven docs)

### Wallpapers + Visual Assets

**Scope:** Desktop wallpaper (2560×1440, 3840×2160), mobile wallpaper (1080×1920), OG image (1200×630), LinkedIn banner (1584×396), Twitter/X header (1500×500)
**User trigger:** "Generate a wallpaper for my project" or "Create an OG image with the project name"
**Input:** Theme colors + project name/tagline + optional layout style
**Output:** PNG files at each requested size
**Generator:** Satori (JSX → SVG) → Sharp (SVG → PNG, resize per platform spec)
**Preview:** Thumbnail grid in UI; click to view full size; download individual or as ZIP
**Complexity:** MEDIUM — Satori requires a subset of CSS (no `display: grid` in all versions; use flexbox); Sharp handles the raster conversion

### Icon Generation (SVG)

**User trigger:** "Create an icon for notifications" or "Generate a 5-icon set for the nav bar"
**Input:** Icon description + optional style (outline/filled/duotone) + size (24px/32px/48px)
**Output:** `.svg` file(s) with clean `<svg>` structure
**Generator:** LLM generates SVG path code directly — this is a text-to-code task, not image generation
**Preview:** Rendered SVG inline in chat; displayed at 24, 48, 96px to show scalability
**Complexity:** LOW — modern LLMs (Claude, GPT-4) reliably generate clean SVG paths for simple icons; more complex icons need iteration
**Consistency rule:** Generate entire sets in one LLM call with style instructions; icons generated separately look inconsistent

### Social Media Content

**Scope:** Post image + caption + hashtags for LinkedIn, Twitter/X, Instagram (static only)
**Platform specs:**
- LinkedIn: 1200×628px image, 3000 char limit, 3–5 hashtags
- Twitter/X: 1200×675px image, 280 char limit (with image), 2–3 hashtags
- Instagram: 1080×1080px (square), 2200 char limit, 10–30 hashtags
**User trigger:** "Create a launch announcement post for LinkedIn and Twitter"
**Input:** Project description/milestone + platform selection + tone (professional/casual/technical)
**Output:** Per platform: `{platform}/image.png` + `{platform}/caption.txt` + `{platform}/hashtags.txt`
**Generator:** Satori for platform image → LLM for caption + hashtags
**Complexity:** MEDIUM — platform spec registry is straightforward; caption writing via LLM is reliable; image must be platform-safe (no text too close to edge)

### Remotion Presentations + Video

**User trigger:** "Create a 2-minute pitch deck video" or "Generate slides for the project demo"
**Input:** Slide content (title, bullets, code snippets) + theme + duration estimate
**Output:** `.mp4` (for video) or PNG stills per slide (for presentation mode)
**Generator:** `@remotion/renderer` `renderMedia()` API — server-side, no browser UI needed
**Preview:** Remotion Player component in UI for interactive playback before export
**Complexity:** HIGH — Remotion render is CPU-intensive (no GPU on M4 needed; uses CPU rendering); render time for a 2-min video ~30–90s on M4; must manage render queue
**VRAM note:** Remotion does NOT use GPU/VRAM; pure CPU/RAM render; does not compete with LLM VRAM budget
**ffmpeg reuse:** Remotion uses ffmpeg internally for video encoding; `ffmpeg-static` already in the v1.6 stack satisfies this

### Branding Media Kit (v2 — complex coordination)

**Output:** `brand-kit.zip` containing: `colors/theme.css`, `colors/theme.json`, `icons/logo.svg`, `icons/favicon.svg`, `images/og-image.png`, `images/banner-linkedin.png`, `images/banner-twitter.png`, `images/wallpaper-desktop.png`, `typography/font-stack.css`, `copy/brand-voice.md`, `copy/tagline.txt`
**Generator:** Orchestrator agent coordinates all sub-generators in sequence
**Complexity:** HIGH — coordination of 6 generators with shared state (theme colors must flow through all visual assets)

---

## Competitor Feature Analysis

| Feature | Canva / Pitch | Mermaid Live / Eraser | Figma Tokens Studio | Nexus v1.7 Approach |
|---------|--------------|----------------------|---------------------|---------------------|
| Content type | Raster images, slides | Diagrams only | Design tokens only | All types via skills |
| AI integration | Prompt-to-design (cloud) | None / limited | None | Chat-driven, local LLM |
| Offline / local | No | No | No | Fully local on M4 |
| Skill installability | Monolithic product | Standalone tool | Figma plugin | Per-type installable skills |
| File ownership | Cloud-locked | Export only | Figma-locked | Local file system, git-versioned |
| WCAG enforcement | Optional check | N/A | Via plugin | Enforced at generation |
| PLACEHOLDERS.md | N/A | N/A | N/A | Native; draft tracking built in |
| Agent-driven | No | No | No | Core UX: chat → deliverable |

---

## Platform Dimension Registry

Used by wallpaper generator, social content, and branding kit.

| Asset Type | Width | Height | Notes |
|------------|-------|--------|-------|
| OG Image | 1200 | 630 | Universal (Facebook, LinkedIn, Twitter) |
| LinkedIn Banner | 1584 | 396 | Center-safe zone; edges cropped on mobile |
| Twitter/X Header | 1500 | 500 | 3:1 aspect ratio |
| YouTube Banner | 2560 | 1440 | Safe zone: center 1546×423 |
| Instagram Square | 1080 | 1080 | 1:1 |
| Desktop Wallpaper | 2560 | 1440 | Standard; also offer 3840×2160 |
| Mobile Wallpaper | 1080 | 1920 | 9:16 |
| Favicon | 32 | 32 | SVG preferred; PNG fallback |
| Apple Touch Icon | 180 | 180 | PNG only |

---

## Generation Job Lifecycle

All content generation follows this status machine to enable consistent UI feedback:

```
queued → generating → ready → (draft → final via placeholder system)
                   ↘ error (with structured reason + suggestion)
```

- **queued:** Job accepted; worker not yet started
- **generating:** Active work; emit SSE progress events with % or step label
- **ready:** File available; preview URL returned; download URL available
- **draft:** File saved with DRAFT watermark; PLACEHOLDERS.md entry created
- **final:** User confirmed; watermark removed; manifest updated
- **error:** Structured error with reason + actionable suggestion

---

## Sources

- [Remotion — Make videos programmatically](https://www.remotion.dev/) — server-side rendering, Remotion Player, `@remotion/renderer` API
- [Remotion GitHub](https://github.com/remotion-dev/remotion) — Remotion Skills (January 2026), CPU rendering confirmed
- [Mermaid CLI npm — @mermaid-js/mermaid-cli](https://www.npmjs.com/package/@mermaid-js/mermaid-cli) — programmatic `run()` API, Node.js >=18, SVG/PNG/PDF output
- [Satori GitHub — vercel/satori](https://github.com/vercel/satori) — HTML/CSS to SVG; flexbox subset; use with Sharp for PNG
- [Social media image sizes 2026 — SocialSizes.io](https://socialsizes.io/) — platform dimension registry
- [Social media image sizes — Buffer 2026](https://buffer.com/resources/social-media-image-sizes/) — OG 1200×630 confirmed universal
- [Accessible Palette — accessiblepalette.com](https://accessiblepalette.com/) — OKLCH/LCh for perceptually uniform palette generation
- [InclusiveColors — WCAG accessible palette creator](https://www.inclusivecolors.com/) — WCAG AA enforcement pattern
- [Generating accessible color palettes — Canonical](https://canonical.design/blog/generating-color-palettes-for-design-systems-inspired-by-apca/) — APCA/WCAG algorithm approaches
- [How to Generate PDFs in 2025 — DEV Community](https://dev.to/michal_szymanowski/how-to-generate-pdfs-in-2025-26gi) — Playwright vs pdf-lib use case guidance
- [Puppeteer HTML to PDF — RisingStack](https://blog.risingstack.com/pdf-from-html-node-js-puppeteer/) — HTML-to-PDF pattern; applies to Playwright equivalent
- [AI SVG Icon Generator — DEV Community](https://dev.to/albert_nahas_cdc8469a6ae8/i-built-an-ai-powered-svg-icon-generator-with-cli-mcp-server-and-web-app-13eo) — LLM-as-SVG-coder pattern validated
- [Tracking designs using watermarks — Atlassian](https://medium.com/designing-atlassian/a-status-in-time-saves-nine-tracking-design-using-watermarks-223e14c59128) — DRAFT watermark status pattern in design workflow
- [Branding with AI — BrandForge](https://brandforge.me/blog/branding-with-ai-complete-guide) — brand kit component structure (logo, palette, typography, voice, templates)
- [Mermaid Chart export guide](https://mermaid.ai/docs/guides/export-diagram) — SVG, PNG, MMD export options confirmed

---

*Feature research for: Nexus v1.7 Content Generation*
*Researched: 2026-04-04*