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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 529 | Use direct Python execution for reliable spreadsheet and document/PDF generation operations | HKUDS/ | 7.8k | — | ~2.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 530 | Generate spreadsheet, diagram, and PDF report as a cohesive deliverable set with iteration budgeting per component | HKUDS/ | 7.8k | — | ~3.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 531 | Extract text from local PDFs using pdftotext or PyMuPDF via runshell | HKUDS/ | 7.8k | — | ~730 | Automated safety check: Pass | MIT | 2 mo ago |
| 532 | Systematic diagnostic workflow for resolving pandoc PDF conversion errors | HKUDS/ | 7.8k | — | ~966 | Automated safety check: Notes | MIT | 2 mo ago |
| 533 | Systematic approach to diagnose and recover from pandoc PDF conversion unknown errors | HKUDS/ | 7.8k | — | ~887 | Automated safety check: Notes | MIT | 2 mo ago |
| 534 | Systematic debugging workflow for pandoc PDF conversion errors | HKUDS/ | 7.8k | — | ~1.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 535 | Pre-process Markdown to replace non-ASCII characters before pandoc PDF conversion | HKUDS/ | 7.8k | — | ~663 | Automated safety check: Pass | MIT | 2 mo ago |
| 536 | Handle LaTeX Unicode errors in pandoc PDF generation by normalizing special characters to ASCII | HKUDS/ | 7.8k | — | ~917 | Automated safety check: Pass | MIT | 2 mo ago |
| 537 | Generate structured PDF checklists and reports using Python libraries in sandbox | HKUDS/ | 7.8k | — | ~900 | Automated safety check: Pass | MIT | 2 mo ago |
| 538 | Generate structured PDF checklists and reports with tables, sections, and scoring criteria using Python libraries | HKUDS/ | 7.8k | — | ~2k | Automated safety check: Pass | MIT | 2 mo ago |
| 539 | Generate structured PDF documents with tables, sections, and scoring using Python libraries in executecodesandbox | HKUDS/ | 7.8k | — | ~2.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 540 | Debug Python PDF generation errors by using unbuffered output and stderr inspection to reveal actual tracebacks | HKUDS/ | 7.8k | — | ~754 | Automated safety check: Pass | MIT | 2 mo ago |
| 541 | Multi-step PDF download and text extraction with progressive fallback strategies | HKUDS/ | 7.8k | — | ~2.4k | Automated safety check: Pass | MIT | 2 mo ago |
| 542 | Retry PDF generation with alternative engines when pandoc fails | HKUDS/ | 7.8k | — | ~1k | Automated safety check: Notes | MIT | 2 mo ago |
| 543 | Complete PDF lifecycle: download, extract, and generate structured documents with reportlab | HKUDS/ | 7.8k | — | ~4.4k | Automated safety check: Pass | MIT | 2 mo ago |
| 544 | PDF extraction with ordered tool chain: readfile, then runshell/pdftotext, then executecodesandbox/PyMuPDF | HKUDS/ | 7.8k | — | ~2.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 545 | Progressive tool-chain PDF extraction with explicit readfile, runshell, and executecodesandbox sequencing | HKUDS/ | 7.8k | — | ~2.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 546 | PDF text extraction with tool cascade prioritizing shell pdftotext before Python fallback | HKUDS/ | 7.8k | — | ~2.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 547 | Multi-stage fallback strategy for PDF/document extraction using sequential tool alternatives | HKUDS/ | 7.8k | — | ~1.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 548 | Resilient multi-tier PDF extraction with sequential fallback strategies when initial reading fails | HKUDS/ | 7.8k | — | ~1.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 549 | Multi-fallback PDF download and text extraction with early failure detection | HKUDS/ | 7.8k | — | ~1.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 550 | Multi-fallback PDF/text extraction with early failure detection and sequential tool fallbacks | HKUDS/ | 7.8k | — | ~1.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 551 | Multi-fallback PDF extraction with sequential approaches and early failure detection | HKUDS/ | 7.8k | — | ~2k | Automated safety check: Pass | MIT | 2 mo ago |
| 552 | 552.PDF Gen Fallback Reliable PDF generation using shell-based Python execution when sandbox fails | HKUDS/ | 7.8k | — | ~810 | Automated safety check: Pass | MIT | 2 mo ago |
| 553 | Fallback pattern for PDF/document generation when executecodesandbox fails with opaque errors | HKUDS/ | 7.8k | — | ~1k | Automated safety check: Pass | MIT | 2 mo ago |
| 554 | Fallback workflow for document generation when code sandbox returns opaque errors | HKUDS/ | 7.8k | — | ~910 | Automated safety check: Pass | MIT | 2 mo ago |
| 555 | Systematic fallback workflow for PDF generation through pandoc, reportlab, and fpdf2 with installation verification | HKUDS/ | 7.8k | — | ~926 | Automated safety check: Pass | MIT | 2 mo ago |
| 556 | Iterative workflow to verify PDF page counts and adjust layout parameters until requirements are met | HKUDS/ | 7.8k | — | ~1.5k | Automated safety check: Pass | MIT | 2 mo ago |
| 557 | Extract text from PDFs using pdftotext when readfile returns binary data | HKUDS/ | 7.8k | — | ~675 | Automated safety check: Pass | MIT | 2 mo ago |
| 558 | Complete PDF workflow: verify, extract content, assemble reports, and generate output PDFs using command-line tools | HKUDS/ | 7.8k | — | ~3.7k | Automated safety check: Pass | MIT | 2 mo ago |
| 559 | Extract text from PDFs using shell tools when readfile fails | HKUDS/ | 7.8k | — | ~817 | Automated safety check: Pass | MIT | 2 mo ago |
| 560 | Extract text from PDF files using pdftotext when readfile returns binary data | HKUDS/ | 7.8k | — | ~699 | Automated safety check: Pass | MIT | 2 mo ago |
| 561 | Extract text from PDFs using pdftotext when readfile returns binary data | HKUDS/ | 7.8k | — | ~741 | Automated safety check: Pass | MIT | 2 mo ago |
| 562 | Fallback workflow for extracting text from PDFs when readfile returns binary data | HKUDS/ | 7.8k | — | ~1.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 563 | Complete PDF workflow: extract content from source PDFs and generate new PDF reports using command-line tools | HKUDS/ | 7.8k | — | ~4.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 564 | 564.PDF Verification Verify PDF page counts and file integrity programmatically using PyPDF2 after generation | HKUDS/ | 7.8k | — | ~977 | Automated safety check: Pass | MIT | 2 mo ago |
| 565 | Verify generated PDFs for integrity and page count using PyPDF2 before task completion. | HKUDS/ | 7.8k | — | ~718 | Automated safety check: Pass | MIT | 2 mo ago |
| 566 | Verify generated PDF files using PyPDF2 to check page counts and integrity | HKUDS/ | 7.8k | — | ~875 | Automated safety check: Pass | MIT | 2 mo ago |
| 567 | Verify PDF page count and content using command-line tools when Python libraries unavailable | HKUDS/ | 7.8k | — | ~1.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 568 | Recover PDF text extraction when readfile returns binary data by using pdftotext via shell | HKUDS/ | 7.8k | — | ~782 | Automated safety check: Pass | MIT | 2 mo ago |
| 569 | Use shell commands or Python libraries to extract PDF text when readfile PDF handler fails | HKUDS/ | 7.8k | — | ~660 | Automated safety check: Pass | MIT | 2 mo ago |
| 570 | Extract PDF text content using shell tools or Python libraries when readfile PDF handler fails | HKUDS/ | 7.8k | — | ~704 | Automated safety check: Pass | MIT | 2 mo ago |
| 571 | Multi-method PDF extraction with sequential fallback and OCR for scanned documents | HKUDS/ | 7.8k | — | ~1.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 572 | 572.Robust PDF Read Reliably extract text from PDFs using pdftotext when standard file reading fails. | HKUDS/ | 7.8k | — | ~602 | Automated safety check: Pass | MIT | 2 mo ago |
| 573 | Generate spreadsheets, diagrams, and PDF reports with iteration budgeting and error recovery | HKUDS/ | 7.8k | — | ~3.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 574 | Generate spreadsheets, diagrams, and PDF reports in a phased workflow with explicit iteration budgets and error recovery | HKUDS/ | 7.8k | — | ~3.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 575 | 575.Local AI Search Natural language search for local files (100G-1T). An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~3.4k | Automated safety check: Pass | MIT | 2 mo ago |
| 576 | 576.Puzle Read Skill Connect to Puzle Read — an intelligent reading workbench that helps users turn articles and documents into searchable personal knowledge. | LeoYeAI/ | 2.2k | — | ~4.8k | Automated safety check: Pass | MIT | 2 mo ago |