680 个 ・ 集成工具: Word · 按人气排序
Draft Word notices for legal holds, instructions to preserve records for litigation or investigations. Track issuance, refreshes, releases, and upcoming review dates in the matter log, and report overdue or missing holds across matters.
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Turn completed case intake into a demand letter draft for payment, contract breaches, or other claims. Review confidentiality and admission risks, refine the wording, and produce a Word document with a checklist for follow-up after sending.
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Prepare a draft letter demanding an end to trademark or copyright infringement, or assess a letter you received. It organizes rights, demands, counterparty risks, and response options for attorney review, following your team's enforcement policy.
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Convert legal documents in PDF, DOCX, or TXT format into structured Markdown. The workflow organizes legal headings, checks text preservation and formatting, and produces a review report alongside the final document when checks pass.
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Review Word contracts for textual inconsistencies, business terms, and legal clauses while preserving the original wording and formatting. Produce clause-specific comments, an objective contract summary, consolidated review opinions, and a business flowchart based on the contract.
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Recover Python tasks when execute_code_sandbox fails with errors or timeouts. Install required packages, run the code through run_shell, and inspect messages and generated files to check the result.
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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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Process Excel workbooks and generate PDF or Word documents by running Python scripts directly through run_shell. The skill covers multi-sheet edits, formatting, data transformations, document layout, and error handling for complex tasks that can exceed agent step limits.
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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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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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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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Run Python through the shell when a code sandbox fails to start or connect. Uses a heredoc, a way to pass multiline code, with examples for generating charts, Word documents, and processed JSON files.
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Helps agents build outputs from supplied reference files by reading, checking, and citing their data first. External searches are reserved for missing details, verification, or tasks that explicitly require current information.
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Run Python through shell commands when sandbox execution fails because required packages are unavailable. The skill explains short commands, multiline scripts, package checks, and output verification, with examples for creating Excel and Word files.
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Extract data from supplied spreadsheets and documents, check for missing or truncated content, and try alternative reading methods when needed. Results identify source files and clearly separate extracted facts from external information or estimates.
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Build answers and reports from provided reference files before searching the web. The workflow identifies attachments, extracts and checks relevant data, tries alternatives for unreadable Word files, and states sources and missing information.
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Recover PDF or DOCX generation when execute_code_sandbox fails with unclear errors. Use run_shell to execute Python directly, check required libraries, report specific failures, and verify that the output file was created.
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Find generated files that are missing from their expected locations in isolated or temporary execution environments. Search confirmed directories, identify the right file, copy it to the intended destination, and verify that it is readable and nonempty.
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Resolve Unicode character errors when converting Markdown to PDF with pandoc. Follow a workflow to replace troublesome symbols with ASCII equivalents, regenerate and check the PDF, or consider another PDF engine when preserving characters matters.
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Recover document generation tasks by separating Markdown content creation, format conversion, and output checks. Uses pandoc to produce Word, PDF, or HTML files, making it easier to identify which conversion step failed.
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Extract text from Word DOCX files with unzip and sed, command-line utilities, when Python document libraries are unavailable. Read the document’s main text, remove XML tags, clean whitespace, and save the extracted content.
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Generate Word, PDF, and HTML documents from Markdown while diagnosing conversion failures. The workflow checks required tools, replaces problematic characters for PDF, tries alternative conversion engines, and verifies the resulting files.
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Recover from PDF and DOCX generation errors by checking the workspace, capturing error details, and trying alternative conversion engines or Python libraries. Verify that the resulting files exist and can be read.
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Extract text, tables, and headings from Word documents when standard file reading tools fail. The workflow uses Python and python-docx through run_shell to recover document content for further review or analysis.
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