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Found 2,024 Skills
Document discovery, inventory building, and metadata extraction for accessibility audits. Use when scanning folders for Office documents (.docx, .xlsx, .pptx) and PDFs, building file inventories, detecting changes via git diff, or extracting document properties like title, author, and language.
Implement Syncfusion Blazor Chart (SfChart) component for comprehensive data visualization. Use this when creating line charts, bar/column charts, area charts, financial charts, or statistical visualizations. This skill covers 30+ chart types including scatter plots, bubble charts, candlestick charts, and specialized charts like waterfall, histogram, and polar charts for Blazor applications.
Comprehensive news aggregator that fetches, filters and conducts in-depth analysis of real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, Wallstreetcn, V2EX and Weibo Hot Search. Suitable for scenarios including "daily scan", "tech news briefing", "finance update" and in-depth interpretation of hot topics.
Generate 3D CGI and rendered video prompts for Seedance 2.0 (Higgsfield). Use this when users want 3D rendering, CGI, Pixar-style, Unreal Engine, photorealistic 3D, computer-generated, or digitally rendered video content. Trigger words: 3D animation, CGI, rendering, Blender, Unreal Engine, octane render, ray tracing, volume, subsurface scattering, physically based rendering, or any 3D/CG video request. Use this even if the user only says "make it look 3D" or describes a rendering aesthetic.
Deterministic pixel art upscaling using EPX/Scale2x, hq2x/hq4x, and xBR algorithms that add valid sub-pixels through pattern recognition. Activate on 'pixel art scaling', 'EPX', 'Scale2x', 'hq2x', 'hq4x', 'xBR', 'retro game upscaling'. NOT for AI/ML upscaling, photo enlargement, or simple nearest-neighbor.
How to work in artist directories — including creating, enumerating, and editing them. Use when creating or onboarding a new artist ("create artist", "onboard X", "add this artist", "set up a new artist") — this skill scaffolds the artist's `RECOUP.md` checklist file and drives the multi-step setup from it. Use when adding or updating artist context (identity, brand, voice, audience), adding songs, organizing files inside an artist directory, or figuring out where something belongs. Also use when the account asks inventory questions like "what artists do I have", "list my artists", "which orgs am I in", "what's in this sandbox" — the filesystem tree is the authoritative answer. And use when the account mentions an artist by name and the task involves their files, context, or content — even if they don't say "artist directory." This includes tasks like researching an artist, creating content for an artist, updating an artist's brand, or adding a face guide.
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Supports image classification, object detection, semantic / instance / panoptic segmentation, depth estimation, image-text-to-text VLM (SFT / LoRA), and LLM SFT / DPO / GRPO. Six-step workflow: inspect and qualify, hardware and NGC image, research, generate and smoke, train + eval + infer, push and emit rerun skill.
Build and run FastFold BoltzGen protein-design workflows end-to-end through API or Composer draft links. Use this whenever users mention BoltzGen, design-spec YAMLs, binder design, multi-spec scaffold workflows, CIF/PDB preparation, workflow graph upsert, `/workflow/composer/<id>`, candidate metrics/structure results, or ask naturally for "help me design a protein" / "give me a simple example".
Design a portfolio-level Amazon advertising strategy across Sponsored Products, Sponsored Brands, and Sponsored Display. Sets the TACoS target, splits budget by funnel stage, defines the role of each campaign type, and builds a scaling plan. Use when a user asks how to structure their ad account, allocate ad budget, set ACoS or TACoS targets, decide between SP, SB, and SD, plan a launch vs a scale phase, or fix an ad account that grew without a plan. Trigger phrases: "advertising strategy", "ad budget", "TACoS", "ad portfolio", "SP SB SD", "scale my ads", "ad account structure". Works with zero tools. the user pastes their own ad and sales numbers.
Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.
Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes and tiering (Standard, Nearline, Coldline, Archive), manage cost and lifecycle, protect data (versioning, encryption/CMEK, retention and Bucket Lock, object holds, soft delete), host static websites, trigger Pub/Sub notifications on object changes, mount buckets as a file system (gcsfuse), or optimize storage performance at any scale. Covers the gcloud storage / gsutil CLI, JSON and XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for block storage (Persistent Disk), data warehousing/analytics (BigQuery), or databases (Cloud SQL, Spanner, Bigtable, Firestore).
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.