Produce Word, PDF, and HTML documents when retrieval or conversion tools fail. The workflow switches to available knowledge with stated limitations, prepares characters for PDF conversion, tries alternative tools, and checks the resulting files.
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Convert Markdown into Word, PDF, and HTML using a workflow suited to the document. Simple files use direct delegation, while documents with special characters use separate conversion steps, character replacement, and output checks.
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Create Word, PDF, and HTML documents from Markdown, choosing pandoc or ReportLab to suit formatting and layout needs. The workflow covers character handling, output checks, and an alternative generation method when PDF conversion fails.
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Create formatted Excel files when sandbox code execution fails by running Python through the shell. Uses openpyxl to add styled headers, alternating row colors, borders, alignment, and adjusted column widths.
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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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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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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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Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.
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Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.
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Delegate coding, infrastructure operations, web research, and desktop automation to OpenSpace through MCP, a connection for agent tools. Search and import reusable skills, request repairs for broken workflows, and upload trusted skills with public or private visibility.
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Extract edit times from documents, inspect audio for clicks and level issues, and guide production of stems, or separate audio parts. Each stage includes checks, ending with a mixed export verified for duration, format, and audio levels.
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Organize patient and visit information into a SOAP note, a medical record covering symptoms, findings, assessment, and care plans. Save the complete note in one file and flag missing information.
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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 and save it as plain text. The skill checks available tools, tries shell utilities, and falls back to Python’s standard library when needed.
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Audit generated Excel reports by reopening saved workbooks, listing populated rows and formulas, and comparing subtotal references with independently identified detail rows. Detect missing or extra rows in totals and preserve an inspection log.
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When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.
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Build working web pages, application interfaces, and components with a clear visual direction. Shape typography, color, layout, and animation around the intended audience and purpose, producing coordinated design and code in HTML, CSS, JavaScript, React, or Vue.
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Set up a consistent local environment for developing ClawTeam, then validate changes with focused tests and real agent workflows. Includes scripts for connecting other projects to local skills and guidance for investigating coordination bugs.
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Coordinate multiple AI agents by assigning tasks, tracking dependencies, exchanging messages, and monitoring progress. Separate Git working directories help organize parallel changes, while context checks and snapshots support handoffs and recovery.
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Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
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Dedicated to calling the FastCode backend to index code repositories and answer questions about them.
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Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
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Get current weather and forecasts (no API key required).
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
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