frames-engineering-skills-3

AI-powered video creation and editing suite for generating, editing, and producing professional video content.

20 skills

Generates SEO-optimized content with keyword integration and structure guidance. Ideal for nonprofits creating web content that ranks and converts.

16 skills

Claude Code skill for generating design concepts and wireframes with focus on innovative user experience patterns.

16 skills

Generates short-form video scripts for social media content. Designed for content creators and marketers producing platform-specific videos.

12 skills

Analyzes writing samples to create comprehensive voice DNA profiles for consistent AI-assisted writing. Ideal for capturing unique writing voice for content systems.

11 skills

Agent skills focused on content humanization, tone adjustment, and natural language enhancement for more engaging communication.

6 skills

Generate natively editable PPTX from PDF / DOCX / URL / Markdown — real DrawingML shapes, text boxes, charts, and animations. Note: run `pip install -r requirements.txt` inside the installed plugin directory for the Python post-processing scripts to work.

1 skill

Rewrite AI-sounding text so it reads like the writer without changing what it says.

1 skill

MCP server for terminal commands, process management, and file operations across text, code, PDF, DOCX, Excel, images, and structured data.

6 skills · 1 MCP server

SEO content writing, planning, and quality auditing with E-E-A-T optimization

3 agents

Discover your brand voice from existing documents and conversations, generate enforceable guidelines, and validate AI-generated content against your established tone and positioning.

3 skills · 3 commands · 5 agents · 6 MCP servers

Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.

1 skill · 3 commands · 1 agent