数据分析、机器学习、LLM 应用、提示词设计（9097 个）
Publish a validated analytics report or dashboard on Sites and receive a shareable URL. The published data is a fixed snapshot, with access checks and optional creator-only editing of presentation text and layout.
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Build dashboards from verified product or business data, with clearly defined metrics, charts, and useful filters. Organize the view from headline results to supporting detail, and check data freshness, numerical consistency, and dashboard behavior before handoff.
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Create and maintain a reusable skill that records metric definitions, trusted data sources, and analytical caveats. Preserve supporting evidence and unresolved conflicts so future Data Analytics work can consult and cite the same documented context.
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Build charts from tables using Vega-Lite, Vega, or Observable Plot. Describe data, visual elements, and interactions in reusable definitions, choose a suitable tool, and assess mobile layout, performance, and when custom rendering becomes necessary.
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Create interactive views of dense datasets, spatial paths, and flows using WebGL, which uses the GPU for rendering. Choose suitable libraries and design navigation, labels, animation, and static alternatives around the analytical task.
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Design charts and dashboards that show data distributions, uncertainty, missing values, and sample sizes clearly. Choose visual forms that preserve meaningful variation and explain where averages, aggregation, or interval choices could mislead readers.
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Estimate small molecule solubility, permeability, and lipophilicity with Boltz using SMILES, a text notation for molecular structures. Process individual molecules or lists, review costs before submission, and receive results mapped to each input.
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Decide whether geographic data needs a map, then choose suitable background maps, visual forms, and implementation tools. Plan overlapping markers, zoom behavior, and mobile interactions so the map supports the intended analysis or product task.
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Build custom browser charts with D3, including precise labels, annotations, zooming, and range selection. Create SVG graphics that adapt to mobile screens, use meaningful contextual backgrounds, and support export when needed.
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Generate new small molecules intended to bind a target protein with Boltz. The workflow covers cost estimation, job submission, result downloads, and ranking candidates by binding confidence or a score for improving promising molecules.
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Routes web visualization work to suitable specialist skills, from chart selection and critique to maps, dashboards, and software diagrams. Helps plan readable views, mobile interactions, accessible controls, shareable state, exports, and testing around the question the data should answer.
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Screen an existing compound library against a protein target with Boltz. Rank candidates by binding confidence or lead optimization score, download predicted structures, and review solubility, permeability, and lipophilicity results alongside the ranked hits.
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Inspect existing Boltz jobs, check local download progress, and recover results after an interrupted session. Use run names or job IDs to resume downloads into the existing output directory without starting a new job.
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Generate new protein, peptide, antibody, or nanobody candidates that bind a chosen target using Boltz. The workflow covers target exploration, design setup, cost estimates, job submission, result downloads, and ranking by predicted binding confidence.
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Query MySQL databases to summarize sales, user behavior, and business metrics. The skill checks available tables, runs read-only queries, and presents results as Markdown tables with explanations of key figures, changes, and conclusions.
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Build and debug Python agents with Swarms, a framework for coordinating multiple AI agents. Covers tool connections, saved memory, autonomous execution, and workflow choices such as sequential steps, parallel work, specialist delegation, and combined answers.
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Create clear, accurate charts for dashboards, data exploration, and reports. Choose chart types that fit the message, refine labels and scales, use accessible colors, and add context and annotations to help readers understand the findings.
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Manage local projects for labeling text, images, audio, and video through the host application's MCP tools. Create projects, update labels and annotations, review saved work, and export approved results as JSON.
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Use Jev to choose among available tools, skills, or agents, or assess outputs against explicit criteria. Receive structured selections, scores, or probabilities to support decisions within a defined set of options.
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Analyze cryptocurrency wallets using balances, profit and loss, transaction history, and address labels. Profile several wallets together, trace connections across transaction counterparties, compare shared tokens and contacts, and export selected results as CSV.
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Research decentralized exchange activity using read-only data on token prices, holders, trades, news, and sentiment. Track large wallets, examine new token launches, and set up real-time monitoring through CLI commands or custom WebSocket scripts.
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Connect applications to NEAR AI Cloud for AI responses generated in protected computing environments. Use its OpenAI-compatible API and follow the verification flow for hardware proofs and response signatures to check which protected environment signed a response.
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Build workflows on OpenServ where multiple AI agents share tasks and pass results between steps. Examples cover research, writing, and image creation, with guidance on finding agents, setting dependencies, and connecting sequential or parallel work.
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Integrate Birdeye API data to track token prices, charts, holders, trades, and wallet portfolios. Supports profit and loss analysis, token risk checks, and live price or large-trade streams, with access depending on the service plan.
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