Results for “spa”

Design a spaced retrieval schedule for any topic list and timeline. Use when planning units, term sequences, or revision programmes.

Compress large language models by 40-60% with minimal accuracy loss using one-shot pruning techniques like Wanda and SparseGPT, enabling faster inference and deployment on constrained hardware.

Search models, datasets, Spaces, and papers on Hugging Face Hub, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools via MCP server tools.

Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.

通用空间抽象接口。当定义空间维度、位置关系、空间结构时调用此技能。

Search models, datasets, Spaces, and papers on the Hugging Face Hub, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools via the Hugging Face MCP server.

Downloads, exports, and inspects Arize traces and spans to debug LLM application behavior using the ax CLI.

Manages Google Chat spaces, messages, members, and custom emojis via the gws CLI.

Provides guidance on using Apache Spark RDDs, including creation, transformations, actions, and performance considerations.

Records common pitfalls and assumptions for Python module execution and GitHub Actions sparse checkout setups.

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

Connects AI assistants to the Hugging Face Hub via MCP server tools to search models, datasets, Spaces, and papers, retrieve repository details and documentation, run compute jobs, and use Gradio Spaces as AI tools.

Apply the Law of Proximity to group related elements through spatial relationships in UI layouts.

Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.

Establish clear visual hierarchy through size, weight, color, spacing, and positioning to guide users through interfaces.

Analyzes and documents Figma's marketing design system, including color tokens, typography hierarchy, spacing, and component patterns.

Define and organize design tokens for color, spacing, typography, elevation, and motion with naming conventions and usage guidance.

Documents Apple's design system including color tokens, typography hierarchy, spacing rhythm, and component patterns across five surfaces.

Provides the complete design language for Supabase marketing surfaces, including color tokens, typography hierarchy, spacing system, and component styles.

Coordinates multi-agent swarms with shared spatial memory, task management, conflict detection, and destination navigation via an Eywa room.

Filters and ranks trending Hugging Face models, datasets, and spaces by novelty and significance, providing a 'why notable' explanation for each pick.

Train and run Mamba state-space models with O(n) complexity, achieving faster inference and longer context than Transformers.

Operate Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI, including downloads, uploads, authentication, and compute jobs.

Expert in residential hollow space detection, hidden room discovery, and safe room planning. Helps map house dimensions, identify anomalies suggesting hidden spaces, and safely explore potential voids. Knowledge of architectural history, construction methods, and non-destructive investigation techniques. Activate on "panic room", "hidden room", "secret room", "hollow space", "house mapping", "find hidden space", "room dimensions", "hidden door", "false wall", "priest hole", "prohibition era", "safe room". NOT for illegal entry, structural modifications without permits, or bypassing security systems.

Audit and fix visual hierarchy, spacing, color, and depth in web UIs using a systematic, opinionated design framework.

Generate professional-grade brand logos using geometric primitives and negative space, producing minimalist vector-style marks via muapi.ai.

Documents Slacc's design language including color palette, typography hierarchy, spacing system, and layout tokens for UI implementation.

Documents Cohere's 2026 web design system with color palettes, typography hierarchy, spacing, and layout principles for enterprise AI interfaces.

Documents Ferrari's brand design system including color palette, typography, spacing, and layout tokens for use in marketing materials.

Documents Airtable's design system including color tokens, typography hierarchy, spacing, and component patterns for building editorial-style marketing interfaces.

Documents Intercom's design system including color palette, typography hierarchy, spacing tokens, and layout patterns for marketing surfaces.

Launch N parallel subagents in isolated git worktrees to compete on the session task. Use when the user runs /hub:spawn or asks to start the competing agents for an initialized AgentHub session.

Launch N parallel subagents in isolated git worktrees to compete on the session task. Use when the user runs /hub:spawn or asks to start the competing agents for an initialized AgentHub session.

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected

Documents Meta's design system for commerce surfaces, including color tokens, typography hierarchy, spacing, and responsive patterns for hardware merchandising.