Design & 3D modeling

Design consistent REST APIs: resource modeling, status codes, pagination, versioning, error contracts, and documentation. Use for any API design task.

Ensure ATS-friendly formatting and create clean, scannable layouts. Use when the user mentions resume format, layout, template, design, or fixing formatting issues.

reverse COMB UUID layout, value discarded

Reviews a PR, diff, design doc or proposal for risks and standards. Use when the user wants something reviewed. Not for release sign-off (ship).

Visual self-review loop for motion graphics — render a draft, build contact sheets at every timeline beat, look at them, critique against a checklist, fix, repeat. Use after any change to a video's visuals or timing, and before calling a video done.

Review a website or web design against the premium-website psychology framework — Halo Effect first impression, cognitive fluency, Peak-End micro-interactions, 2026 trends, and client ownership. Use when designing, auditing, or pre-launch checking a site. Triggers on "/review-site" or "review this site against the premium framework".

Use when writing or reviewing idiomatic Rust — edition 2024 ownership/borrowing design, or fixing LLM pitfalls (clone tax, unwrap infestation, indexed loops). Not for error-type design (rust-error-handling) or SOLID layout (solid-rust).

Explains system design, evaluates tradeoffs, and records architecture decisions and useful documentation. Activate when the user invokes Sage by name or assigns this persona; the specialty alone does not trigger it.

Reference BASIC-tier skill used as a fixture by skill-tester. Counts words and characters and applies basic text transformations. Use when validating skill-tester itself or when you need a minimal, known-good skill layout to copy. Not a production skill.

Generate comprehensive edge cases and test scenarios by decomposing a feature or file across 12 risk dimensions, or blast-radius review a change with --diff: what breaks beyond the diff, proven by running real code. Use for pre-implementation risk discovery, QA planning, regression design, exhaustive edge-case enumeration, and change-safety review. Triggers: 'edge cases for X', 'what could break', 'blast radius', 'what could this break beyond the diff', 'test scenarios', 'QA plan', 'risk discovery', 'enumerate failure modes'.

Take a picture of a window, a region or a menu on this machine — through DocShot on macOS, which holds the Screen Recording grant the terminal lacks, and through window-shot.ps1 on Windows — and owns the shared capture and framing scripts every project's capture code calls. TRIGGER when: any screen capture is about to be taken, debugging and measurement included; `screencapture` failed with "could not create image from display"; a capture came back blank or with every window title empty; or a script under this skill's scripts/ is being changed. DO NOT TRIGGER when: the picture is a documentation screenshot to be filed in a project's docs — that is `docs-screenshot`, which runs its own capture scripts and calls these tools directly — or the capture is a browser page the claude-in-chrome tools already screenshot.

Locate macOS screenshots saved to ~/screenshots/ and route them into downstream workflows — most commonly attaching to GitHub PR/issue/comment bodies via the gh image extension, but also useful for previewing, organizing, copying to clipboard, or feeding into other tools. Use when the user mentions "screenshots", "today's screenshots", "find a screenshot", "attach screenshots", "upload screenshot", "images on machine", or wants to locate, preview, or share a local screenshot.

Build scroll-driven animations with GSAP, ScrollTrigger, SplitText and Lenis smooth scroll — reveals, pinned sections, horizontal scroll, parallax, scrubbed timelines, text effects — in vanilla JS, React, Next.js, Vue/Nuxt, or Astro, with correct setup, cleanup and responsive fallbacks. Use whenever the user mentions GSAP, ScrollTrigger, Lenis, smooth scroll, parallax, pin, scrub, "animasi saat scroll", horizontal scroll, or scroll storytelling.

Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences. Like NY Times interactives, Apple product pages, and award-winning web experiences. Makes websites feel like experiences, not just pages. Use when: scroll animation, parallax, scroll storytelling, interactive story, cinematic website.

World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.

Computer vision models: object detection, segmentation, training a custom model, and optimizing or deploying inference (YOLO, DETR, SAM, ONNX, TensorRT). Use whenever the user wants to detect objects in images or video, train on their own labeled images, or speed up a slow vision model.

Design experiments and analyze tabular data: A/B tests, causal inference, feature engineering, model evaluation. Use whenever the user asks how to set up or read an A/B test, whether a change caused a lift, which features to build, or how good a model is.

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

Use when optimizing video SEO — VideoObject schema, YouTube metadata, transcripts, live streams.

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.

Manages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems.

Use when defining or auditing shadcn/ui design tokens, OKLCH colors, or dark/light mode CSS variables.

Expert guidance for integrating and building applications with shadcn/ui components, including component discovery, installation, customization, and best practices.

Create short-form video content (Reels, TikTok, Shorts) using practitioner methodology. Covers production workflow from concept to publish, hook construction, format selection, and algorithm optimization.

Local video studio for your coding agent: scenes, voice, music and captions, on your machine.

Analyze a project description or site requirements and synthesize a project constitution into SITE.md for the Stitch Build Loop

Hand-drawn whiteboard for system design mock interviews; your AI watches, asks and gives feedback.

Mine the CURRENT session for how the agent skills were actually used - friction hit, commands corrected, recipes discovered, docs found stale - distill only the SELECTIVE, generalizable improvements, apply them to the relevant SKILL.md / reference files in the skills repo, and ship via vd:ship. Conservative by design: high bar, evidence-backed, no scope creep. Use when the user says 'evolve the skills', 'skill-evolve', 'improve the skills from this session', 'capture what we learned into the skills', 'update the skills based on this session', or runs an end-of-session skill retro. Routes standing-behavior corrections to vd:rule-miner and project/task facts to memory - it only touches skill content.

Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.

Frontier-design reference: file formats, converters, definitions, sensors, companies, design jobs.

Transcribe audio and video into speaker-labelled transcripts, subtitles, clips, and cited Q&A.

Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI’s video API using the bundled CLI (`scripts/sora.py`), including requests like “generate AI video,” “Sora,” “video remix,” “download video/thumbnail/spritesheet,” and batch video generation; requires `OPENAI_API_KEY` and Sora API access.

Procedural sound design with the sfx engine — writing a cue sheet against a video's timeline, which sound goes with which visual event, gain hierarchy, panning, musical key, automatic mastering to -14 LUFS, adding new generators, and verifying sync. Use when adding, changing or checking audio, SFX, music beds or loudness for any video in this repo.

The studio's Sound Designer. Owns the sound of a video for the studio-director, covering dialogue cleanup, music bed and ducking, sound effects synced to picture and motion, the final mix, loudness per platform, and stems, and reports back with a Sound Handoff. Picks and runs audio-edit, sound-design, filler-removal and edl-edit music. Use when the director reaches the sound pass, or when the user asks to fix or mix audio, add music or SFX, make the voice sound better, set loudness for YouTube/Reels/podcast, or says "ظبط الصوت", "الصوت واطي", "حط مزيكا", "مؤثرات صوتية", "ساوند ديزاين".

The studio's Sound Designer. Owns the sound of a video for the studio-director, covering dialogue cleanup, music bed and ducking, sound effects synced to picture and motion, the final mix, loudness per platform, and stems, and reports back with a Sound Handoff. Picks and runs audio-edit, sound-design, filler-removal and edl-edit music. Use when the director reaches the sound pass, or when the user asks to fix or mix audio, add music or SFX, make the voice sound better, set loudness for YouTube/Reels/podcast, or says "ظبط الصوت", "الصوت واطي", "حط مزيكا", "مؤثرات صوتية", "ساوند ديزاين".

Prove you made it first. Blockchain Timestamp creative work via Claude or any MCP-enabled AI Agent.

Investigates a problem or an unclear-impact feature and proposes options. Use when the user has a problem to understand before building. Not for scoped work (design).

Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.

Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation. OpenAI remains the default; Atlas Cloud is an explicit optional backend for asynchronous multilingual speech. Custom voice creation is out of scope.

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work. Use when building or reviewing a Spring Boot backend — REST layer, services, data access, caching, or async work.

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work. Use when building or reviewing a Spring Boot backend — REST layer, services, data access, caching, or async work.

Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.

Image toolkit: resize, compress, crop, watermark, convert, rotate, EXIF read/strip.

Checks a TLA+ model of something that moves between states (a checkout, an upload, a protocol, a job with retries) with the TLC model checker and draws it as a Mermaid statechart in the reader's words, marking each state that breaks a rule and the shortest path to it. Use when asked to 'draw the states', 'chart how this flow works', 'statechart', 'can this ever happen', 'check this flow keeps the rule', 'model the lifecycle', or to show a bug about order, duplicates, retries or late events as a path through states. Declines work with no states, such as a pure function. Not for architecture or sequence diagrams (vd:archify, vd:diagram-design).

Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern