'sharing' 검색 결과

Set up W&B to record machine learning metrics and settings, visualize training progress, and compare experiments. Includes automated searches for training settings, version tracking for datasets and models, and shared reports for team collaboration.

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• Recording and visualizing training metrics
• Comparing experiments with different training settings
• Automatically searching for better training settings

Create concise medical treatment plans in LaTeX and PDF, covering goals, interventions, timelines, and monitoring. Templates support chronic disease care, rehabilitation, mental health, and perioperative care, with a first-page summary and diagrams showing care pathways.

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• Documenting goals and monitoring for chronic disease care
• Organizing rehabilitation stages and progress measures
• Preparing mental health treatment plans

Deploy web projects to Netlify with its command-line tool. The skill checks authentication and project settings, links or creates a site, and publishes a preview or production version with deployment URLs and log links.

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• Publishing a web project on Netlify
• Sharing a preview URL before production
• Linking a project to an existing Netlify site

Keep existing Bayesian modeling requests working through a compatibility alias that routes to the local pymc skill. Reuses the canonical instructions, templates, references, and diagnostic scripts while preserving the name used in existing calls and catalog entries.

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• Keeping existing skill calls working
• Preserving descriptive names in README and catalog entries
• Sharing templates and diagnostic scripts from pymc

Analyze Neuropixels neural recordings from raw data through quality review. Supports preprocessing, motion correction, spike sorting to separate signals by neuron, quality metrics, visual inspection, reports, and exports for further review or data sharing.

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• Preprocess recordings and correct probe drift
• Separate neural signals with Kilosort4
• Select units using Allen or IBL quality criteria

Work with DICOM, a standard medical imaging format, in Python. Read and edit scan metadata, extract image pixels, anonymize patient information, convert scans to common image formats, and process compressed files or image series.

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• Extracting and editing DICOM metadata
• Anonymizing scans for research sharing
• Converting DICOM images to PNG or JPEG

Turn raw test results into readable reports with pass and fail totals, unstable tests, and coverage, meaning how much code tests exercise. Package results for releases, quality assurance, or reviews, with follow-up actions.

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• Preparing test reports for a release
• Turning pytest or JUnit output into a readable summary
• Sharing coverage and quality-gate status

Package project links, reports, demos, or Codex session summaries into a readable static HTML page. Remove sensitive information, upload the page or existing static files through PinMe, and return the resulting share URL.

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• Sharing a project link with a concise introduction
• Publishing a summary of a Codex session
• Distributing reports or static demos

Test changed screens or explore an entire app in a real browser. Check interactions, accessibility, and mobile layouts, then document failures with screenshots, reproduction steps, expected results, and suggested fixes.

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• Checking UI changes in a pull request
• Finding bugs through exploratory testing
• Checking keyboard access and mobile layouts

Create topic-specific project guidance that agents can use as project memory. Examine existing code and available templates to document conventions for areas such as APIs, testing, authentication, or deployment, with concrete examples.

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• Documenting project-specific API conventions
• Recording test organization and mocking practices
• Sharing authentication and permission patterns

Diagnose NVSHMEM launch failures, crashes, hangs, and communication problems using exact commands and complete logs. Separates observations from likely causes, checks version-specific documentation, and prepares a Markdown bug report for the user to submit.

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• Investigate launch failures, crashes, and hangs
• Distinguish NVSHMEM defects from application or environment issues
• Check whether a known issue applies to the installed version

Compute statistics across distributed NVFLARE sites without sharing raw data. Generate and validate jobs for numeric tables or image datasets, then report site-level and global summaries, missing data rates, and applied privacy settings.

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• Comparing numeric data distributions across sites
• Computing means, variances, and quantiles across sites
• Summarizing image counts and pixel intensities

Build and debug the shared foundations of DOCA applications on BlueField or ConnectX hardware. Get guidance on device capabilities, memory buffers, context lifecycles, task completion processing, and separate logging controls for the SDK and application.

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• Setting up the foundations of a DOCA application
• Investigating tasks that submit but never complete
• Sharing memory buffers across DOCA libraries

Interactive pixel-art command center dashboard. Visual business HQ with instant hotkey navigation to all ops commands, live status indicators, fire alerts, C-suite reports, settings, sharing, and FAQ.

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Prepare and manage Miro whiteboards through an AI agent. Find or create boards, add sticky notes and frames, inspect board items and connections, and share access with teammates using Rube MCP.

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• Prepare boards for workshops or meetings
• Add multiple sticky notes and frames
• Find items and inspect their connections

Automate Dropbox file management, sharing, search, uploads, downloads, and folder operations via Rube MCP (Composio). Always search tools first for current schemas.

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Identify domains, families, and sites in proteins; find all proteins in a family or sharing a domain; explore species distribution for a domain; annotate genomes with protein families and GO terms. InterPro combines 14 databases (e.g., Pfam, CDD) into one searchable resource. InterPro-N significantly expands annotation and sequence coverage with deep learning. Includes domain architecture (IDA) search.

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Apply when concurrent actors might write to the same file, branch, key, or state object. Eliminate the sharing first; serialize structurally only when one shared writer is a real invariant.

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Build a Says, Thinks, Does, Feels map for one user or segment. Use when sharing user understanding quickly. For a composite archetype with goals and behaviours use `user-persona`; for cross-session themes use `affinity-diagram`.

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Use when the user asks to "design an employee advocacy program", "set up founder-led sharing", or "build a share kit for the team"; produces an advocacy program blueprint in two modes — participation-driven opt-in (default) or top-down assigned with its coercion and authenticity risks flagged — with a voluntary opt-in roster spec submitted as channel-registry proposal events, share kits with mandatory per-person variation, staggered human posting windows plus anti-pod guardrails (no coordinated identical reshares, no engagement rings), per-person material-connection disclosure lines per FTC and 《互联网广告管理办法》, and a Slack/Teams distribution spec. Not for paid creator campaigns — use campaign-planner. 员工倡导/创始人IP分享/内部分享计划/披露合规

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Discipline for the seam between two SDKs (or two sides of one contract) that the same hand writes. The failure mode: "we own both sides" produces dirty contracts no foreign reviewer would accept. The exercise: pretend the other side is FFI, IPC, or a network protocol you cannot rewrite. Spawn an adversarial subagent profiled as the producer's maintainer; negotiate the change as a feature request, not a PR. Companion to $sdk-design. Language-agnostic — applies to a TS package + its consumer, a Rust crate + its WASM binding, two services sharing a wire format, or any other boundary the same author writes both ends of.

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Google Drive CLI for listing, searching, uploading, downloading, and sharing files and folders.

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Entry P1 category router for file access and upload workflows. Use when testing download endpoints, file paths, local file inclusion, upload flows, preview pipelines, archive extraction, or storage and sharing boundaries.

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Design habit-forming product loops using the Hook Model (Trigger, Action, Variable Reward, Investment). Use when the user mentions "users arent coming back", "habit formation", "engagement loops", "habit zone", or "the manipulation matrix". Also trigger when designing notification or re-engagement strategies, building streaks or progress systems, or analyzing why users stop after signup. Covers ethics evaluation and onboarding for habits. For friction reduction and B=MAP, see improve-retention. For viral sharing, see contagious.

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