Process Excel workbooks and generate PDF reports by running Python scripts directly. Covers multiple sheets, data transformations, formatting, and error handling, with scripts saved as files for complex tasks.
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Gather web information and turn it into an Excel workbook with explicit checks. Handles search failures through delegated research, records sources and missing data, and verifies the saved workbook against requested requirements.
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Diagnose failed connections to government websites and corporate portals by checking network access, SSL certificates, and proxy settings. If access remains unavailable, the workflow helps identify alternative data sources and document attempts and next steps.
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Create internal and external documents from one reference source. Extract deadlines, responsibilities, procedures, and policies, tailor content for each audience, and check that terminology, formatting, versions, and references stay consistent while internal information remains appropriately restricted.
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Continue research when web-reading tools fail together by trying alternative URLs and using established knowledge where appropriate. Record inaccessible sources, mark references that need verification, and explain the limits of the resulting document.
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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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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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Troubleshoot file access failures caused by commands running in the wrong folder. Set the working directory explicitly before file operations, check directory paths, and locate files when relative paths resolve differently across tools.
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Create documents when several research or execution tools fail. Delegate PDFs and complex layouts to shell_agent, a separate agent, or save Markdown directly, while distinguishing verified facts from general guidance and checking the output.
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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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Create a structured Markdown report when multiple retrieval tools fail. Using available domain knowledge, the workflow separates verified facts from general guidance, marks missing data, and saves a document with limitations and practical next steps.
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Find input files in confirmed workspace folders, save outputs to explicit locations, and check the results against task requirements. Useful in restricted execution environments where familiar folders may be missing or inaccessible.
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Continue Python tasks when the sandbox cannot start by switching to run_shell. The workflow covers short scripts, saved script files, library checks, longer timeouts, and output verification for tasks such as PDF generation and data processing.
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Create structured medical notes in SOAP format, covering patient reports, observed findings, assessment, and care plans. The skill organizes supplied clinical information, writes all four sections to a file together, and checks that the record is complete.
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Analyze agent runs that fail before any work begins. Check iteration counts, tool use, logs, and outputs to identify startup failures, then direct investigation toward environment setup, input formatting, permissions, or resource limits.
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Keep report writing focused on the original request when information retrieval fails. This skill guides agents to use existing knowledge, disclose missing information, create a structured document with write_file, and verify that the file exists.
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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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Delegate file creation to shell_agent when direct generation tools fail. Specify the required format and content, then locate generated files by extension or modification time, copy them to the working directory, and check their integrity.
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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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Audit an Excel workbook before editing, then verify the saved file with Python and openpyxl. Each requested requirement receives an explicit status, so completion depends on checks of the actual file.
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Recover from failed automated file creation with an explicit shell workflow. The skill guides agents through checking folders, writing and running scripts, and inspecting output files to confirm that deliverables were actually created.
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Check deliverables before marking a task complete. Review the requested file format, confirm every reference file was used, and compare the result with the original request to catch omissions and work that misses the goal.
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Diagnose connection problems with government websites by checking SSL certificates, which verify website identity, and proxy settings. Follow structured troubleshooting steps, record failed attempts, and explore alternative APIs or data sources when access remains blocked.
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Create or edit Excel workbooks with checks for sheet names, row counts, formulas, and merged cells. Reopen the saved file and verify each requirement, recording explicit results rather than relying on a completion summary.
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