'word' 검색 결과

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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• Reading Word documents after file tool failures
• Extracting table contents from Word documents
• Listing headings or numbered paragraphs

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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• Recover document generation after an unclear shell_agent error
• Create Word and PDF files from the same Markdown source
• Convert Markdown into HTML with a custom template

Collect product listings from Etsy keyword search results, one page at a time. Gather titles, prices, ratings, shop names, and product links, with advertising and shipping indicators, to support competitor research and product comparisons.

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• Researching competing products on Etsy
• Comparing prices for handmade products
• Finding shops by product keyword

Search Taobao and Tmall by keyword and collect product listings with displayed prices, shop names, images, sales figures, and tags. Use price filters, sorting, and pagination to compare products or research multiple keywords.

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• Find products matching a keyword
• Compare listings within a price range
• Research Tmall-only product listings

Connect WordPress, Strapi, Contentful, or Ghost to notfair SEO tools through guided configuration and connection testing. Save credentials in .env.local so seo-analysis can automatically compare CMS content with Google Search Console data.

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• Connecting WordPress to SEO tools
• Configuring Strapi or Contentful connections
• Connecting Ghost for content analysis

When the user wants to discover, evaluate, or prioritize App Store keywords. Also use when the user mentions "keyword research", "find keywords", "search volume", "keyword difficulty", "keyword ideas", or "what keywords should I target". For implementing keywords into metadata, see metadata-optimization. For auditing current keyword performance, see aso-audit.

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When the user wants to optimize content for SEO—word count, H2 keywords, keyword density, multimedia, tables, lists. Also use when the user mentions "content length," "word count," "keyword stuffing," "H2 keywords," "keyword density," "tables," "bullet points," or "content structure." For keywords, use keyword-research.

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When the user wants to research keywords, find target keywords, or analyze search intent. Also use when the user mentions "keyword research," "keyword tool," "target keywords," "search volume," "search intent," "keyword difficulty," "topical map," "keyword clustering," "People Also Ask," "Google autocomplete," "autocomplete keywords," or "alphabet method." For clusters, use content-strategy.

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Amazon listing builder and optimizer for sellers. Two modes: (A) Create — build keyword-optimized listings from scratch using keyword lists + product characteristics + AI copywriting, (B) Optimize — audit existing listings, find keyword gaps, score across 8 dimensions, and rewrite with missing keywords. Integrates with amazon-keyword-research for keyword input. Works on 12 Amazon marketplaces. No API key required. Use when: (1) creating a new Amazon listing from keywords, (2) auditing an existing listing for SEO and conversion, (3) checking keyword coverage in title/bullets/description, (4) generating listing copy with target keywords and tone, (5) comparing listings against competitors, (6) preparing a listing for launch or relaunch.

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Nexscope keyword historical search volume query, returning Amazon keyword exact search volume trends in 7-day periods, covering 10 marketplaces including US, UK, DE, JP, etc. Trigger when the user mentions keyword search volume trends, historical search volume, search popularity changes, keyword seasonality, search volume fluctuations, Nexscope search volume, keyword search volume history, keyword trend, search volume over time, seasonal search volume, keyword popularity trend. Even if the user does not explicitly mention "Nexscope", if their need involves viewing the search volume trend of an Amazon keyword over time, this skill should also be triggered.

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Nexscope overview analysis of Amazon keyword market competition. Trigger when the user mentions keyword competition, supply-demand ratio, competitor count, keyword search volume estimation, market competitiveness assessment, keyword popularity ranking, ad competition analysis, number of products under a keyword, keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, Nexscope, keyword overview. Even if the user does not explicitly say "Nexscope", if their need involves assessing keyword-level competition intensity, supply-demand balance, or search result product count on Amazon, this skill should also be triggered.

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Query and analyze Amazon ABA (Brand Analytics) search term data, covering 15 marketplaces with nearly 3 years of weekly data. Trigger when the user mentions ABA data, Amazon search term analysis, keyword mining, search ranking trends, market opportunity analysis, seasonal keywords, high-click low-conversion analysis, blue ocean keyword discovery, competitor keyword analysis, ABA data, search term report, keyword mining, search ranking trends, blue ocean keywords, click share, conversion share, seasonal keywords, market opportunity analysis, competitor keywords. Even if the user does not explicitly mention "ABA", if their need involves Amazon search term data and ranking analysis, this skill should also be triggered.

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When the user wants to discover, evaluate, or prioritize App Store keywords. Also use when the user mentions "keyword research", "find keywords", "search volume", "keyword difficulty", "keyword ideas", or "what keywords should I target". For implementing keywords into metadata, see metadata-optimization. For auditing current keyword performance, see aso-audit.

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Review password fields for security and ease of use. Check autocomplete settings, accessible visibility controls, strength indicators, and password manager support, then verify relevant browser and HTTP behavior in an environment resembling production.

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• Reviewing login and registration forms
• Checking password manager compatibility
• Improving accessible password visibility controls

Create, edit, or inspect standalone documents such as memos, reports, and proposals. Use the shared documents skill to handle Word, Google Docs, or PDF deliverables, preserve the requested format, and verify the document before delivery.

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• Turn notes into an editable decision memo
• Update a Word proposal with tracked changes
• Check definitions and footnotes in an existing agreement

Create editable documents for sharing and comments, including reports, proposals, resumes, and guides. Use the docs connector to prepare documents that can be exported to Word, PDF, Markdown, or Google Docs.

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• Creating a report to share with others
• Preparing a proposal for comments
• Drafting a resume or cover letter

Extracts, converts, or edits selected parts of spreadsheets, Word documents, PDFs, and PowerPoint files. It creates a separate output file, checks that the selection still matches the source, and verifies the saved result without modifying the original.

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• Export an Excel range as CSV, Markdown, or XLSX
• Extract Word paragraphs or create an edited copy
• Save a selected PDF page as a separate file

Review a resume against a job description to identify missing keywords and formatting that applicant tracking systems may struggle to read. Get a keyword match score and specific suggestions for wording, placement, and layout.

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• Check resume formatting before applying
• Compare resume keywords with a job description
• Revise a resume for a career change

Create fillable Word forms with text fields, date controls, dropdowns, and clickable checkboxes. Protect static document content while leaving designated fields editable, or prepare mail-merge placeholders for templates that receive data later.

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• Creating protected employee onboarding forms
• Building surveys with dropdowns and checkboxes
• Preparing contract templates with editable fields

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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• Creating a report from an attached Excel file
• Extracting reference text when Word file reading fails
• Identifying missing information before supplementary searches

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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• Diagnosing PDF encoding errors
• Exporting a report to Word, PDF, and HTML
• Investigating unclear document conversion failures

Generate Word, PDF, and HTML documents from one Markdown source. The workflow checks available tools, replaces problematic characters for PDF conversion, tries alternative conversion engines when needed, and checks that output files were created.

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• Exporting one report as Word, PDF, and HTML
• Handling PDF conversion errors caused by special characters
• Generating PDFs without pandoc or LaTeX

Generate Word, PDF, and HTML documents from Markdown through visible conversion steps. Check available tools, handle special characters according to the output format, switch to alternative converters when needed, and verify the resulting files.

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• Exporting one document to Word, PDF, and HTML
• Recovering from PDF encoding errors
• Generating PDFs when LaTeX or pandoc is unavailable

Extract text from Word DOCX files with shell commands when python-docx is unavailable. The workflow reads the document’s XML content, removes tags, optionally cleans whitespace, and saves plain text for inspection or further use.

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• Reading DOCX files without python-docx
• Saving Word document text to a text file
• Extracting text where extra packages cannot be installed