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Build and maintain machine learning apps on Hugging Face Spaces. Choose a suitable app framework and computing hardware, load models, deploy files, and check logs and outputs to diagnose build or runtime problems.
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Write and review Gradio demos for Hugging Face ZeroGPU. Configure GPU time limits and dependencies, and troubleshoot errors caused by separate worker processes, shared state, concurrent requests, or CUDA package installation.
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Collect posts from public Facebook Pages or personal profile timelines as structured data. Capture text, author details, reactions, comments and share counts, plus media information, with date options and pagination for larger collections.
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Manage Hugging Face Hub through the hf command line tool. Download and upload models or datasets, organize cloud storage, manage authentication and local caches, run scheduled jobs, and deploy or maintain model inference services.
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Collect posts from public Facebook Pages with their text, authors, links, hashtags, and engagement counts. Gather reaction breakdowns and multiple batches of posts to review page activity, compare responses, or collect content around a chosen period.
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Build and publish a browser demo for a supplied LoRA, a model adaptation for image or video tasks. Tailor the Gradio interface to its inputs and follow the model’s recommended settings on Hugging Face Spaces.
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Search Meta Ad Library by keyword or Facebook page ID and collect ad text, images, videos, destination links, and publishing platforms. Filter by country and ad status to gather material for competitor advertising research.
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Read Facebook posts, comments, feeds, and local events, and organize saved items. Use the same skill to manage your own Marketplace listings and handle drafts, published posts, metrics, and scheduled posts for Pages you manage.
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Check the current state of MemPalace, including room counts, storage usage, and overall health. The skill retrieves status instructions and follows them to present these details for a review of the palace.
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Extract information from a project or conversation and store it as memories in MemPalace for later retrieval. The skill follows the step-by-step mining instructions returned by the MemPalace command.
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Answer questions about past work, people, projects, and decisions by searching stored MemPalace records first. Retrieve exact source wording, check facts at relevant dates, and maintain session continuity without guessing when records are unavailable.
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Investigate TOCTOU flaws: race conditions where a checked property changes before an action uses it. The skill covers filesystem, kernel, web, and container testing, helping identify vulnerable sequences, reproduce timing issues, and document observed impact.
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Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
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检查FaceTime内部状态和拨号准备情况，经批准后向已配置的所有者联系地址发起音频或视频通话，也可请求挂断并检查后续状态。
Search Google Places for businesses and locations, narrow results by current opening status or rating, and retrieve place details and reviews. Export results as JSON, a structured data format for use in scripts.
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Initialize a new MemPalace for AI memory through a guided setup process. The skill retrieves setup instructions for a configuration that uses ChromaDB as its data storage backend and follows the returned steps.
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Find available MemPalace commands, usage tips, and getting started guidance. This skill retrieves the help instructions and follows them step by step to guide users through the basics of using MemPalace.
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Assess how well a MemPalace memory palace is organized, then work through a guided repair session. The skill retrieves audit instructions and proceeds one decision at a time to address its organization.
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Audit GitHub Codespaces startup time and spending, then identify up to three evidence-based improvements to development containers, machine sizes, prebuilds, or idle timeouts, with validation results and expected impact.
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Search LangBot Space for plugins, MCP servers, and skills through MCP, a protocol for connecting agents to tools. Inspect item details, check plugin usage compatibility, and review model availability to support setup decisions.
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Find information across memories, projects, and conversations already stored in MemPalace. Use semantic search, which looks for related meaning, by following the search instructions returned by the MemPalace command.
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Retrieve an EagleEye traceId, an identifier linking a request across logs, using Arthas without changing application code. Observe request-handling methods, capture parameters when needed, and inspect method calls and timings to investigate problems.
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Investigate slow or failing requests in Google Cloud using Cloud Trace. Filter traces by duration or error status, inspect spans representing individual operations, and retrieve related Cloud Logging entries to investigate bottlenecks and exceptions.
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Manage Workspace users, groups, and organizational units through gog. The skill guides account selection and command checking, with confirmation of the target and intended change before writes or deletions, plus preview checks for supported writes.
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