Set up a personal monitoring dashboard with Vite and TypeScript. The skill provides a folder layout, dependency and build settings, and a page entry point for organizing stock and news panels, data services, and shared utilities.
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Add a dashboard or admin panel across the server and interface. This skill follows existing project patterns to build API routes, service logic, components, registration, and styles, then connects request handlers so the new endpoint is reachable.
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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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Diagnose file access problems by checking directories, permissions, file headers, and line counts in parallel batches. Also reviews TypeScript imports, fixes duplicates and type-only imports, and checks module exports before retrying the failed operation.
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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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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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Add thumbnails, colored badges, and data-driven styling to TypeScript lists, cards, and panels. Coordinate component logic with CSS, include fallbacks for missing data, and check how the updated display handles empty lists and long text.
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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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Process Excel files with Python after checking that input files and source URLs are accessible. The workflow covers data transformations, formulas, and formatting, with alternative sources and error logs when access fails.
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Process Excel workbooks by saving Python scripts to files and running them through the shell. Covers multiple sheets, data transformations, formulas, formatting, and error reporting for complex spreadsheet tasks.
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Hand complex document generation or data processing to shell_agent when direct tools repeatedly fail. Define the required output, let the tool choose libraries and recover from errors, then verify the resulting files and content.
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Update or create Excel workbooks with checks against the requested structure. Identify the correct file before editing, then reread the saved workbook to verify sheet names, populated columns, row counts, and selected sample counts.
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Create or modify Excel workbooks, then independently check the saved file with Python. Verify required sheets, columns, populated cells, row counts, and sample selections against the requested structure before reporting the work as complete.
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Move Python execution to saved script files when execute_code_sandbox repeatedly fails or becomes unstable. The skill covers writing single or multiple files, running them through run_shell, inspecting outputs and errors, and removing temporary scripts afterward.
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Describe the files you want created, updated, or organized, and let shell_agent choose how to perform the work. It selects tools such as Python or Bash, executes the operation, and handles errors with retries.
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Diagnose unclear failures from run_shell commands through a stepwise workflow. Capture error output, verify directories and command availability, check environment variables, and test simpler commands to narrow down problems with paths, permissions, or the execution environment.
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Create medical visit notes in SOAP format, which separates patient reports, observed findings, clinical assessment, and care plans. Organize the available information into a complete Markdown or plain text file written in one operation.
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Run Python through run_shell when code execution tools repeatedly fail. This workflow embeds a multiline script directly in a shell command, supporting tasks such as CSV conversion and PDF generation while checking execution output.
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Check whether a file creation or transformation task actually succeeded after an unclear execution error. Inspect output files and their contents to distinguish success, partial completion, and failure before deciding whether to retry.
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Build a Web3 application that interacts with a blockchain, from contract interfaces and frontend screens to tests and deployment scripts. Package source code, configuration templates, and setup documentation into a ZIP for delivery.
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Create and process Excel files, PDF checklists, and structured reports by running Python scripts directly. The skill covers multiple sheets, formulas, formatting, data transformations, and error handling for document workflows with several steps.
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Track tasks that require several output files with an upfront checklist, checks after each file is created, and a final review. Confirm that every required file exists and has a nonzero size before reporting completion.
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Run multi-line Python scripts through run_shell when execute_code_sandbox repeatedly fails. The guide explains heredocs, a way to pass blocks of text to a command, with examples for PDF creation, data processing, and inspecting errors.
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Build Web3 applications, combining blockchain contracts with a user interface, in a defined sequence. Organize directories, define interfaces, implement and test contracts, configure wallet connections, build components, and prepare deployment scripts.
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