'panel' 검색 결과

Prepare a Python environment for Mixpanel analysis by installing required libraries and checking credentials and connectivity. Use it for first-time setup, missing dependencies, or guidance on service account and OAuth sign-in options.

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• Set up a new environment for Mixpanel analysis
• Install missing Python analysis libraries
• Configure service account or OAuth credentials

Build TypeScript summary panels that combine data already fetched by other panels. Accept partial updates, wait for required fields before rendering, and update displayed metrics without additional network requests, using reusable base classes and a coordinator.

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• Combine email and stock metrics in one summary panel
• Wait for required data before showing a summary
• Update metrics using data fetched by other panels

Manage servers remotely through the aaPanel/BT Panel API. Its Python tools deploy site updates, transfer and edit files, run shell commands, and execute MySQL queries, with deployment previews and backup options.

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• Deploy frontend or backend updates to a server
• Transfer and edit remote configuration files
• Run MySQL queries and database migrations

Build dashboard panels in plain TypeScript using a shared Panel class. Examples cover form submission, input validation, error messages, browser storage, and immediate display updates, with a finance tracker demonstrating how the pieces fit together.

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• Building dashboard panels with a shared structure
• Adding required-field and numeric input checks
• Saving entered data in the browser

Add a complete dashboard panel in plain TypeScript, from server routes and data services to the visible component and registration. The workflow checks existing routing patterns and includes request failure handling, caching, and saved panel state.

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• Adding a dashboard panel across server and browser code
• Connecting routes to Express or http.createServer
• Adding caching and cooldowns after repeated failures

Build dashboard panels in plain TypeScript with automatic retries, saved panel settings, and clear error states. Keep panel-specific helper functions in the same file to make each component easier to understand and maintain.

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• Build a panel that retries failed data requests
• Save panel dimensions and expanded or collapsed state
• Keep time and status formatting helpers beside panel code

Analyze Mixpanel data with Python to explore usage trends, conversion steps, returning users, and differences between user groups. Also manage business context documents that explain an organization's structure and goals to AI assistants.

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• Find where users drop out before purchasing
• Compare retention across user groups
• Explore feature usage and revenue trends

Create a multi-panel research figure from a clear claim and fixed data references, or start from an existing figure. Plan the layout, coordinate panel creation, inspect the composite, and revise affected panels through independent review.

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• Designing a multi-panel figure around a research claim
• Reworking the layout of an existing figure
• Checking readability after combining panels

Panel structure design, firm selection criteria, right-sourcing analysis, and coverage gap assessment for in-house legal teams. Build panel frameworks from scratch or formalise existing informal arrangements. Define weighted selection criteria for firm evaluation. Run right-sourcing analysis (ABC tiering) to identify work sent to expensive providers that doesn't require that level of resource. Assess existing panels for practice area, geographic, and capability gaps. Trigger on: 'design our panel', 'how many firms do we need', 'panel structure', 'firm selection criteria', 'which firms should we use', 'right-sourcing', 'are we sending work to the right firms', 'panel gaps', 'too many firms', 'consolidate our panel', 'we need a firm for', 'preferred provider', 'panel tiers', 'do we need BigLaw for this', 'convergence', 'D&I panel targets', 'how do we choose firms'.

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Panel health assessment, firm exit management, coverage gap analysis, and panel refresh brief for in-house legal ops teams. Produce an annual Panel Health Report synthesising scorecard data, billing compliance, and step-out patterns into per-firm recommendations — Retain, Watch, Improvement Plan, or Exit Review. Produce a firm exit pack: formal exit notice with active matter transition plan, plus an internal exit record. Identify practice area, geographic, or tier gaps and produce a structured Coverage Gap Report with remediation options. Produce a Panel Refresh Brief as a scoped input to the RFP process. Trigger on: 'review our panel', 'annual panel review', 'is our panel working', 'which firms should we exit', 'write the exit notice', 'coverage gap', 'we don't have anyone for restructuring', 'refresh the panel', 'panel rationalisation', 'too many firms', 'step-out problem', 'do we have the right firms'.

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Build dashboard panels in plain TypeScript with saved sizes and expanded or collapsed states. The pattern includes data fetching retries with increasing delays, loading indicators, error messages, and a shared base class for consistent panel behavior.

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• Restoring panel sizes and expanded or collapsed states
• Adding automatic retries when data fetching fails
• Standardizing loading and error displays across panels

Keep the ComfyUI sidebar panel node-pack (comfyui-agent-panel) in step with the orchestrator after comfyui-mcp updates. Use this whenever the orchestrator was just updated (install_comfyui (action:"self_update"), npm i -g comfyui-mcp, a new version in the ENVIRONMENT line), when a panel/bridge command fails in a way that smells like version drift ("panel is too old", a graph_/ui_ command the panel doesn't implement, a feature that works in the docs but not in the sidebar), or when the user asks to update/pin/unpin the panel. It checks the installed panel version against what THIS orchestrator build needs, RESPECTS an explicit version pin (warn-only, never move a pinned user), offers a clear way to unset the pin, runs the sync through the verified install_comfyui(action:'panel') path, and reports the version RE-READ from disk. Never claim a sync that did not happen.

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Assemble multiple plots into ONE publication-ready multi-panel journal figure (e.g. Figure 1 with panels A, B, C). Use whenever the user asks to combine, compose, or lay out several plots as a single composite figure — newly plotted from data or from already-rendered panels the user supplies (PNG/PDF). Ask the user to pick one of two approaches: (1) redraw every panel into one unified figure using independent, tightly packed `subfigures` (each sized to its own labels, so axes need NOT align), consistent style, correctly placed panel letters, and per-panel legends/colorbars; (2) composite already-rendered PNG/PDF panels onto a mosaic canvas and add panel letters (image compositing, not plotting). Both export vector PDF + high-DPI PNG. For a SINGLE plot from a data table, use the sibling `omics-plotting` skill instead.

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연결된 Mac의 패널에 에이전트가 준비한 위젯 문서를 표시합니다. 패널 표시와 숨기기, 문서 전환, 로컬 앱으로 이동하는 대상을 제어합니다.

• 연결된 Mac에 문서 표시
• 패널에 표시할 문서 전환
• 패널 표시와 숨기기

Build dashboard panels that manage both display and data fetching. A shared TypeScript base provides loading states, retry controls, caching, automatic refresh, and a circuit breaker that temporarily pauses requests after repeated failures.

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• Building dashboard panels with data fetching
• Standardizing loading and error displays across panels
• Configuring caching and failure handling for each panel

Build dashboard panels with patterns for handling failed API requests. TypeScript examples cover retries, cached data, temporary pauses after repeated failures, loading and error displays, and saving panel size and expansion state in the browser.

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• Building dashboard panels that handle API failures
• Adding loading, error, and retry displays
• Preserving panel size and expansion state

Build dashboard panels in vanilla TypeScript with shared loading and error displays, saved panel state, and request handling. Examples show retries with increasing delays and CircuitBreaker integration to pause repeated failures and reuse cached results.

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• Building dashboard panels in vanilla TypeScript
• Adding caching and cooldowns to existing service calls
• Retrying requests with increasing delays

Build dashboard panels in plain TypeScript with data fetching and loading states. The pattern uses cached data, fallback values, and a circuit breaker, which temporarily pauses requests after repeated failures, to handle API problems.

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• Building a stock dashboard panel with periodic updates
• Adding request cooldowns and fallback values for API failures
• Sharing loading, error, and count displays across panels

Create dashboard panels in plain TypeScript using the browser’s page-building API. Follow a shared base class to add titles, counts, loading indicators, error messages, manual retry buttons, and periodically refreshed content.

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• Add a stock price panel to a dashboard
• Show loading indicators and retry buttons on failure
• Standardize titles and item counts across panels

Build dashboard panels in plain TypeScript with automatic retries for failed requests, error messages, and retry buttons. Save expanded or collapsed state and panel dimensions in localStorage, the browser’s local storage.

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• Building dashboard panels in TypeScript
• Adding automatic retries to failed requests
• Saving panel size and collapsed state

Build dashboard panels in vanilla TypeScript with resizing, saved layout state, loading indicators, and retry controls. Examples also show how to wrap existing data-fetching functions with caching and temporary request pauses after repeated failures.

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• Building dashboard panels in vanilla TypeScript
• Saving panel sizes across page reloads
• Adding retry controls to failed data requests

Choose and interpret models for panel data, which tracks the same firms, people, or countries over time. Use Python, R, or Stata examples to compare fixed and random effects, check assumptions, and select standard errors.

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• Choosing between fixed and random effects
• Estimating entity and time effects together
• Selecting standard errors for correlated observations

Build dashboard panels in plain TypeScript with titles, counts, loading states, and retry controls. Includes patterns for escaping external text before HTML insertion to address XSS, where untrusted content can run scripts in a page.

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• Adding stock or calendar panels to a dashboard
• Escaping external API text before HTML insertion
• Adding loading, error, and retry states

Build dashboard panels and sidebars in plain TypeScript. Provides patterns for panels that fetch data on a timer and sidebars updated by external callers, including retries, saved display settings, and styles inserted only once.

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• Build dashboard panels that refresh on a timer
• Create sidebars updated with externally supplied data
• Save and restore panel size and collapsed state